[House Hearing, 119 Congress]
[From the U.S. Government Publishing Office]


                  AI ON MAIN STREET: HOW AI IS SHAPING
                       THE FUTURE OF SMALL BUSINESS
=======================================================================

                                HEARING

                               BEFORE THE

                      COMMITTEE ON SMALL BUSINESS
                             UNITED STATES
                        HOUSE OF REPRESENTATIVES

                    ONE HUNDRED NINETEENTH CONGRESS

                             SECOND SESSION

                               __________

                              HEARING HELD
                             JULY 14, 2026
                               __________

[GRAPHIC NOT AVAILABLE IN TIFF FORMAT]

            Small Business Committee Document Number 119-041
             Available via the GPO Website: www.govinfo.gov
                                __________
                                
                    U.S. GOVERNMENT PUBLISHING OFFICE
64-242                     WASHINGTON : 2026
=======================================================================
            
                   HOUSE COMMITTEE ON SMALL BUSINESS

                    ROGER WILLIAMS, Texas, Chairman
                        PETE STAUBER, Minnesota
                        DAN MEUSER, Pennsylvania
                         BETH VAN DUYNE, Texas
                           JAKE ELLZEY, Texas
                         MARK ALFORD, Missouri
                        BRAD FINSTAD, Minnesota
                          TONY WIED, Wisconsin
                      ROB BRESNAHAN, Pennsylvania
                          BRIAN JACK, Georgia
             KIMBERLYN KING-HINDS, Northern Marina Islands
                         DEREK SCHMIDT, Kansas
                        JIMMY PATRONIS, Florida
                          CLAY FULLER, Georgia
               NYDIA VELAZQUEZ, New York, Ranking Member
                       MORGAN MCGARVEY, Kentucky
                       HILLARY SCHOLTEN, Michigan
                      LAMONICA MCIVER, New Jersey
                        GIL CISNEROS, California
                       KELLY MORRISON, Minnesota
                        GEORGE LATIMER, New York
                         DEREK TRAN, California
                       LATEEFAH SIMON, California
                       JOHNNY OLSZEWSKI, Maryland
                    MAGGIE GOODLANDER, New Hampshire
                       ANALILIA MEJIA, New Jersey

                  Sean Dillon, Majority Staff Director
                 Melissa Jung, Minority Staff Director
                           
                           C O N T E N T S

                           OPENING STATEMENTS

                                                                   Page
Hon. Roger Williams..............................................     1
Hon. Gil Cisneros................................................     2

                               WITNESSES

Mr. Jordan Crenshaw, Senior Vice President, U.S. Chamber of 
  Commerce, Washington, DC.......................................     5
Mr. Anthony Qaiyum, President, Merz Apothecary, Chicago, IL......     6
Mr. Francis Hoang, Chief Executive Officer & Founder, BoodleBox, 
  Colorado Springs, CO...........................................     8
Mr. Chike Aguh, Head of Innovation & Strategy, Kapor Center, 
  Oakland, CA....................................................     9

                                APPENDIX

Prepared Statements:
    Mr. Jordan Crenshaw, Senior Vice President, U.S. Chamber of 
      Commerce, Washington, DC...................................    40
    Mr. Anthony Qaiyum, President, Merz Apothecary, Chicago, IL..    54
    Mr. Francis Hoang, Chief Executive Officer & Founder, 
      BoodleBox, Colorado Springs, CO............................    57
    Mr. Chike Aguh, Head of Innovation & Strategy, Kapor Center, 
      Oakland, CA................................................    64
Questions and Answers for the Record:
    Questions from Hon. Velazquez to Mr. Chike Aguh and Answers 
      from Mr. Chike Aguh........................................    72
Additional Material for the Record:
    SHRM Letter..................................................    75
    Association for Enterprises Opportunity (AEO)................    77
    SBC Dem Report...............................................    83
    ACT Letter...................................................   102

 
   AI ON MAIN STREET: HOW AI IS SHAPING THE FUTURE OF SMALL BUSINESS

                              ----------                              


                         TUESDAY, JULY 14, 2026

                  House of Representatives,
               Committee on Small Business,
                                                    Washington, DC.
    The Committee met, pursuant to call, at 10:03 a.m., in Room 
2360, Rayburn House Office Building, Hon. Roger Williams 
[chairman of the Committee] presiding.
    Present: Representatives Williams, Meuser, Van Duyne, 
Alford, Finstad, Bresnahan, Jack, King-Hinds, Patronis, Fuller, 
Cisneros, Velazquez, Scholten, McIver, Tran, and Goodlander.
    Chairman WILLIAMS. Before we get started, I want to 
recognize Representative Van Duyne from the great state of 
Texas to lead us in the Pledge and the prayer. Would you stand?
    Ms. VAN DUYNE. Heavenly Father, we come before you with 
gratitude for the privilege and responsibility of serving the 
American people. Grant the Members of this committee wisdom to 
discern the truth, courage to do what is right, and humility to 
listen with respect to one another. Help us to seek solutions 
that strengthen our nation, protect the freedoms we cherish, 
and honor the first--the trust placed in us by those we 
represent. We ask your blessings on our country, our 
servicemembers, first responders, and all who labor for the 
peace, safety, and prosperity of the United States. In your 
holy name we pray. Amen.
    If you please join me in the Pledge.
    ALL. I pledge allegiance to the Flag of the United States 
of America, and to the Republic for which it stands, one nation 
under God, indivisible, with liberty and justice for all.
    Chairman WILLIAMS. Good morning, everyone. I now call the 
Committee on Small Business to order. Without objection, the 
Chair is authorized to declare a recess of the Committee at any 
time.
    I now recognize myself for my opening statement.
    Welcome to today's hearing, ``AI on Main Street: How AI is 
Shaping the Future of Small Business.'' I want to thank our 
witnesses for coming with us today and being part of this.
    Artificial intelligence has quickly transitioned from a 
novelty to an indispensable business tool for main street 
businesses across the country. AI is streamlining 
administrative tasks that once required significant time and 
resources and it is allowing small businesses to focus on 
growth instead of paperwork. Small businesses are using AI to 
respond quickly to customers, manage inventory, strengthen 
cybersecurity, and automate routine paperwork. And as a small 
business owner myself, I have seen the difference these tools 
can make and I know firsthand how much of that burden falls on 
the owner.
    Artificial intelligence is no longer something reserved for 
big tech companies and Fortune 500 boardrooms. Today, nearly 
three-quarters of small businesses are using AI in some form, 
and this is more than triple the share from just 3 years ago. 
So small businesses are closing in on technology gap with the 
big corporations faster than any prior wave of innovation.
    Importantly, early data is showing that AI rises, not 
coming at the expense of workers. In fact, 82 percent of small 
businesses using AI grew their workforce over the past year. Of 
course, real barriers to broader AI adoption remain. Many 
owners tell us that they simply don't know how or where to 
start and that they worry about costs, so that they are unsure 
how to keep their data secure.
    But one of the biggest barriers in Washington is created, 
it is called uncertainty. And the Biden administration took a 
heavy-handed approach to AI. In October 30, 2023, they released 
the executive order imposing sweeping regulatory requirements 
and compliance burdens that threatened to smother AI innovation 
before small businesses ever got the chance to benefit from it. 
We only need to look across the Atlantic to see where that road 
leads. Europe chose to regulate first and innovate later, and 
today their small businesses are falling behind and the United 
States cannot make the same mistake.
    Thankfully, the Trump administration reversed course. They 
rescinded the Biden approach and replaced it with a pro 
innovation strategy through Executive Order 14179 in America's 
AI Action Plan, clearing away for red--doing away with red tape 
so that AI tools can be adopted with confidence. The SBA is 
doing its part by also expanding access to AI through its new 
main street AI Accelerator program. And, of course, the 
Committee has led the way with bipartisan legislation such as 
the AI-WISE Act, the AI for Main Street Act, and the SBA 
Artificial Intelligence Utilization Act of 2026. So together, 
these bipartisan bills ensure that entrepreneurs have access to 
practical AI and the barriers to AI adoption are reduced.
    Our goal is to make every small business and entrepreneur 
make sure they have the opportunity to succeed in the emerging 
age of AI. So when small businesses have the tools, they have 
the training and freedom to innovate, they will out compete, 
they will out build, and out hire anyone in the world, and our 
economy will be stronger because of it.
    I want to thank our witnesses again for joining us today. I 
look forward to the conversation ahead.
    And I now yield to Ranking Member Congressman Cisneros from 
the great state of California.
    Mr. CISNEROS. Good morning and thank you, Mr. Chairman, for 
convening this important hearing.
    Artificial intelligence will revolutionize the way 
businesses work and humans operate. AI could allow main street 
businesses to scale their capabilities and perform routine 
tasks faster and cheaper. However, AI's many risks have 
incurred costs for small firms. AI can produce false outputs, a 
phenomenon known as hallucinations. Further, bias and 
discrimination AI decision-making undermines its effectiveness, 
unduly hurts underserved communities, and exposes users to 
legal and reputational harm. And AI companies often take and 
use the data and information users input into their models for 
further training and sale to other parties, posing privacy 
risk.
    It is challenging to know exactly how to assess and address 
these problems, in part because AI developers through automated 
machine learning and most AI developers do not disclose their 
model's training information. I support the consideration and 
use of AI by our small businesses, but we need to protect our 
businesses from flexible flaws.
    Small businesses need to be ready to effectively evaluate 
and adopt these tools. Uneven access to AI and knowledge about 
how to use it and avoid its risks threaten to cut whole 
segments of our population off from the benefits of AI. 
Underserved people have especially fallen behind in their 
understanding of AI tools, increasing the digital divide and 
hurting their businesses. It is this Committee's responsibility 
to address these issues.
    The SBA must provide AI literacy resources to educate 
entrepreneurs on the risk and potential benefits of AI. This 
will reduce the digital divide and equip entrepreneurs with the 
tools and information to make well-informed, thoughtful 
decisions about whether AI is right for them, what AI can and 
cannot do, and which specific AI tools are suitable for a 
specific task.
    Furthermore, the inherent risk of AI must be addressed 
through smart and sensible AI regulation. Smart, well-crafted 
federal regulation will minimize the risk of AI, maximize its 
benefits, and prevent criminal and unethical use. These 
regulations are needed to protect all Americans, especially 
small business owners.
    Small businesses are crucial to the technological progress 
of our country. Entrepreneurs use their unique perspectives, 
passion, and resourcefulness to support and grow our country's 
economy. That is why we must support our small businesses by 
educating them on this revolutionary technology, how to use it 
effectively, and how to avoid its risk. It is important that 
the federal government supports small businesses developing new 
AI technologies with safety and security in mind. It is vitally 
important that we do not leave small businesses behind as we 
race to enhance our country's competitiveness. I look forward 
to discussing how we can better assist our small businesses in 
this new era.
    With that, I thank the witnesses for being here today and I 
yield back.
    Chairman WILLIAMS. The gentleman yields back.
    We will now move to witness introductions. The first 
witness is Mr. Jordan Crenshaw. Mr. Crenshaw is the senior vice 
president at the U.S. Chamber of Commerce Technology Engagement 
Center. Before joining the Chamber, he was an attorney focused 
on environmental issues and consumer privacy laws. Mr. Crenshaw 
worked at McGuireWoods and also held roles in the Virginia 
Senate leadership, the Office of the Attorney General of 
Virginia, the U.S. Department of Labor, and the National Right 
to Work Defense Foundation. He earned both his undergraduate 
and law degree from the College of William and Mary. I want to 
thank you for being here and look forward to our discussion.
    Our next witness is Anthony Qaiyum. He is the president of 
Merz Apothecary, a locally owned small business serving 
customers across the Chicago area and through his online store, 
smallflower.com, across the country. The Qaiyum family has 
owned and operated the business for decades. And under Mr. 
Qaiyum's leadership, it has grown from a neighborhood 
apothecary into a nationally recognized destination for natural 
health, personal care, and specialty products. Mr. Qaiyum 
earned his bachelor's degree from Williams College, one of the 
great schools, I might add. And I look forward to your 
testimony, and thank you for you being here today.
    Our next witness is Mr. France Hoang. Mr. Hoang is the 
founder and CEO of BoodleBox, a collaborative AI platform that 
gives small business educators and workforce programs secure, 
affordable access to multiple premium AI models in a single 
workspace. Prior to starting BoodleBox, Mr. Hoang served as an 
executive officer of the U.S. Army Special Forces Company 
during combat deployment in Afghanistan. Thank you for that. 
And he also served as associate counsel of the President under 
President George W. Bush. And he has been on the founding teams 
of companies across the fields of law, aerospace, defense, 
government services, and AI. He earned a bachelor's of science 
degree from the United States Military Academy at West Point. 
Beat Navy, right? And a law degree from Georgetown University. 
I want to thank you for being here today and look forward to 
our discussion.
    I now recognize Congressman Cisneros from California to 
briefly introduce our last witness appearing before us today.
    Mr. CISNEROS. Thank you, Mr. Chairman. It is my honor to 
introduce Mr. Chike Aguh, the head of innovation and strategy 
at the Kapor Center, a tech policy focused on making the tech 
industry more diverse, equitable, and inclusive. He is also the 
Vice Chair of the Maryland Higher Education Commission. 
Previously, Mr. Aguh was the chief innovation officer at the 
last administration's Labor Department. While there, he led 
efforts to use big data and emerging tech to empower and 
protect American workers. Mr. Aguh also has extensive 
experience in private industry, broadband access, nonprofits, 
and the education system. He holds a bachelor's degree from 
Tufts, master's degree in education and public administration 
from Harvard, and an MBA degree from University of Penn 
Wharton. A lot of education there. Thank you for being with us, 
Mr. Aguh.
    Chairman WILLIAMS. The gentleman yields back. And thank you 
again, all of you, for being here today.
    And before recognizing the witnesses, I would like to 
remind them that their oral testimony is restricted to 5 
minutes in length. That is a big number around here. Five 
minutes, okay? And if you see the light turn red in front of 
you, it means your 5 minutes has concluded and you should wrap 
up your testimony. If you continue to go, you will hear this. 
Okay? And it will get louder and louder.
    So I now recognize Mr.--and I will say one other thing, 
too. You are going to see Members going in and out. It is not 
because anything you said or did. We have other hearings going 
on, so there will be people coming in and out all the time.
    I now recognize Mr. Crenshaw for his 5-minute opening 
remarks.

     STATEMENTS OF JORDAN CRENSHAW, SENIOR VICE PRESIDENT, 
TECHNOLOGY ENGAGEMENT CENTER, U.S. CHAMBER OF COMMERCE; ANTHONY 
   QAIYUM, PRESIDENT, MERZ APOTHECARY; FRANCIS HOANG, CHIEF 
EXECUTIVE OFFICER & FOUNDER, BOODLEBOX; AND CHIKE AGUH, HEAD OF 
              INNOVATION & STRATEGY, KAPOR CENTER

STATEMENT OF JORDAN CRENSHAW, SENIOR VICE PRESIDENT, TECHNOLOGY 
          ENGAGEMENT CENTER, U.S. CHAMBER OF COMMERCE

    Mr. CRENSHAW. Chairman Williams, Representative Cisneros, 
and distinguished Members of the Committee, thank you for the 
opportunity to testify today on how artificial intelligence is 
shaping the future of small business. My name is Jordan 
Crenshaw and I serve as senior vice president at the U.S. 
Chamber of Commerce, where I lead the Chamber's technology 
policy work, including artificial intelligence, data privacy, 
and emerging technologies.
    For small businesses AI is not a distant idea. It is 
already helping main street businesses save time, serve 
customers, manage costs, and compete with larger firms. Tools 
that once required large budgets and dedicated technology teams 
are now available to entrepreneurs, family-owned businesses, 
and small employers across the country. A retailer can use AI 
to understand demand and personalize marketing. A restaurant 
can improve scheduling and inventory. A professional services 
firm can automate routine drafting and research. A manufacturer 
can reduce waste and improve operations. In each case, AI is a 
force multiplier that helps small businesses do more with 
limited time, staff, and resources.
    The AI adoption trend is clear. According to the U.S. 
Chamber's Empowering Small Business Report in 2025, 58 percent 
of U.S. small businesses reported using generative artificial 
intelligence. That is up from 40 percent in 2024 and 23 percent 
in 2023. That growth reflects a simple reality: small 
businesses adopt technology when it delivers practical value.
    One example is Henry's House of Coffee in San Francisco, a 
family-owned roaster that has served its community for 
generations. Its owner, Hrag Kalebjian, uses AI to improve 
online product descriptions, better understand customers, and 
solve production challenges. He even used AI to help design a 
custom system to address static in his coffee-bagging process, 
which actually helped him save time on getting coffee outside 
of his e-commerce platform and to customers. That is what AI 
adoption looks like on main street. Practical, entrepreneurial, 
and focused on solving real problems.
    AI is also creating workforce opportunities. The Chamber's 
data shows that 82 percent of small businesses using AI 
increased their workforce over the last year. These businesses 
are not using AI to replace people. They are using IT to help 
employees focus on high-value work that requires judgment, 
creativity, and relationships.
    Small businesses are also investing in their workers. They 
need accessible training, strong partnerships and policies that 
make adoption easier, not harder. It is one reason that the 
U.S. Chamber and its foundation launched the Small Business 
Basics Program recently to train 40,000 small businesses across 
the country on AI. We also support the AI for Main Street Act 
and the AI-WISE Act, both of which would help put practical AI 
guidance and education within reach of more small businesses.
    At the same time, barriers remain. Small businesses face 
cost, technical data readiness, trust, and legal uncertainty 
challenges. The greatest policy threat in front of small 
businesses is a patchwork of state AI and privacy laws. A small 
business selling online should not have to navigate dozens of 
conflicting state rules simply to use common digital tools. 
Congress should establish a clear national framework for data 
privacy and AI. These frameworks should protect consumers, 
promote trust, preserve innovation, and provide strong federal 
preemption.
    A first step is that Congress should pass the Secure Data 
Act. The Secure Data Act is a comprehensive privacy legislation 
that is based on a consensus of state privacy laws signed into 
law by 10 Democrat governors and 15 Republican governors that 
protects over 150 million Americans across the country. It 
would give Americans the right to delete their data and opt out 
of certain AI profiling.
    With regard to AI specifically, we should adopt a risk-
based, technologically neutral, flexible, and proportionate 
framework. Congress should also support the foundations of AI 
adoption: workforce development, broadband access, reliable 
energy infrastructure, modernized permitting, government 
technology systems that reduce burdens on small businesses like 
streamlined permitting.
    The question before this committee is not whether AI is 
going to change small business, it already is. The question 
today is what policies can Congress put in place that encourage 
the adoption of this technology and further maximize this 
transformation to benefit small businesses? With the right 
approach that provides flexibility, certainty, and a clear 
standard, AI can help entrepreneurs grow, compete, and serve 
their communities. The Chamber stands ready to work with this 
Committee to ensure that AI works for main street, strengthens 
American competitiveness, and keeps the United States at the 
forefront of innovation.
    Thank you and I look forward to your questions.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Mr. Qaiyum for his 5-minute opening 
remarks.

    STATEMENT OF ANTHONY QAIYUM, PRESIDENT, MERZ APOTHECARY

    Mr. QAIYUM. Chairman Williams, Representative Cisneros, and 
Members of the House Small Business Committee, thank you for 
the opportunity to testify today about how artificial 
intelligence is helping small businesses like mine compete, 
grow, and create jobs.
    My name is Anthony Qaiyum and I am the owner of Merz 
Apothecary, a 151-year-old family-owned business in Chicago. We 
sell natural health, personal care, beauty, and fragrance 
products through our historic retail store, our website, and 
online marketplaces like Amazon. Altogether, we employ more 
than 60 people.
    When I started, I believed technology could help our unique 
neighborhood store reach people across the country and around 
the world. We launched our first e-commerce website in 1997 and 
became one of Amazon's earliest small business sellers in 2004. 
Looking back, those decisions changed the trajectory of our 
business.
    Today, I believe artificial intelligence represents the 
next major leap forward for small businesses. AI gives 
businesses like ours affordable access to capabilities that 
were once available only to large corporations with 
multimillion-dollar budgets.
    Many of these tools offer free versions or are integrated 
into existing platforms we use. For example, Shopify's native 
AI can produce on-demand sales reports in just minutes that 
used to take hours to build. Over the years we have accumulated 
decades of emails, spreadsheets, sales records, and operating 
documents in Google Workspace. We can now simply ask Gemini 
where something is stored and what it says, turning our 
historical institutional knowledge into something we can find 
and use instantly.
    In addition, AI helps us streamline repetitive 
administrative work so our employees can spend more time 
serving customers. Right now we are building an AI agent to 
handle routine accounts payable work that takes one employee 
more than 20 hours a week, hours we would rather have her 
helping with strategic problems to grow our business.
    Like many small businesses, we don't have the budget to 
hire a full-time chief financial officer. But today I can 
securely upload our financial statements into AI tools like 
Claude or Gemini and receive a thorough analysis of cash flow, 
inventory, investments, operating expenses, payroll trends, and 
potential financial risks.
    Lastly, and perhaps my favorite example of how AI is 
helping us, we recently hired a national sales manager for 
KOBO, our small home fragrance manufacturing business. This is 
a new position. I knew what I wanted her to learn during the 
first few months, but I didn't have the time to organize 
everything into a structured onboarding program. Using AI voice 
transcription and writing tools, I talked through my ideas and 
the AI turned them into a comprehensive knowledge guide along 
with a detailed 30-, 60-, 90-day onboarding plan. She later 
told me it was the clearest roadmap she had ever received when 
starting a new job.
    All these examples illustrate the larger impact AI has had 
on our business. It has helped us make better use of our 
employees' time, strengthen our operations, and grow. Since we 
started using AI, our headcount has increased by about 20 
percent from just over 50 employees to more than 60, and we are 
still hiring.
    As Congress considers AI policy, I urge you to focus on 
measures that help small business adopt and benefit from AI-
powered tools. First, we need a clear, balanced national 
framework rather than a burdensome patchwork of conflicting 
state AI and privacy laws. Navigating different rules across 
all 50 states is difficult at best and expensive or impossible 
at worst.
    Second, AI-powered tools are just becoming affordable and 
accessible for businesses like mine from features built into 
platforms like Shopify to standalone tools like Claude and 
Codex. If new rules make these tools more expensive or harder 
to use, it could push AI-powered technology out of reach, once 
again making these capabilities available only to the largest 
companies.
    Lastly, Congress should invest in AI literacy. SBA 
programs, tax incentives, or workforce training initiatives 
could help small business owners and their employees learn how 
to use these tools effectively. Every employee who becomes 
proficient with AI becomes more valuable, more productive, and 
better equipped for the jobs of the future. Even in our 
business, which is embracing AI, many of our employees lack 
formal training on how to maximize its potential. With the 
right support, more small businesses could help their workers 
use AI confidently.
    For 151 years, Merz Apothecary has adapted to changing 
technologies and markets. AI is the newest chapter in that 
story. It is helping us compete, innovate, hire, and better 
serve our customers. I hope Congress will pursue policies that 
keep AI tools accessible for American small businesses and make 
it easier for millions more to adopt them.
    Thank you, and I look forward to your questions.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Mr. Hoang for his 5-minute opening remarks.

     STATEMENT OF FRANCE HOANG, FOUNDER AND CEO, BOODLEBOX

    Mr. HOANG. Thank you. Mr. Chairman, Ranking Member 
Cisneros, Members of the Committee, thank you for inviting me 
here today. My name is France Hoang.
    In 1975, when I was a small boy, American forces evacuated 
my family from Vietnam. That single act gave me a new life. It 
let me graduate from West Point, serve as an associate 
counselor to the President, and later deployed to Afghanistan 
as the executive officer of a Special Forces company. It also 
let me become an entrepreneur. Over the past 15 years I helped 
start a law firm, Fluet; a defense services company, MAG 
Aerospace; and today I run a collaborative AI company, 
BoodleBox. Today, more than 130 small businesses run a 
BoodleBox and over 100,000 students and faculty and more than 
1,000 colleges use it to teach and learn.
    Together, the companies I founded employed more than 1,200 
Americans. So when this Committee talks about small business, I 
have lived that journey multiple times.
    This Committee has already done real work to help small 
businesses through bills like the AI Main Street Act and the 
AI-WISE Act. That work matters. But I have learned something on 
the ground. Getting access to AI is no longer the hardest part. 
Basic AI is cheap and it is everywhere. A small business owner 
in Detroit can reach more AI computing power today for almost 
nothing than a Fortune 500 company could buy 5 years ago. The 
trouble is what comes next. The premium AI that delivers real 
results still costs real money. And a new divide is opening up 
between Wall Street and main street.
    There is a second problem, and it is bigger. The most 
powerful AI is useless if you don't know how to use it well. 
Most small business today are handed the keys to a Ferrari and 
sent down the equivalent of a muddy road. Too often, what comes 
out only looks finished. And when someone has to redo it, it is 
what now we call work slop. On main street today, and even more 
so tomorrow, the businesses that do not learn how to 
collaborate with AI will not just fall behind, they will fail.
    When I sit with small business owners, I hear the same 
things over and over. They are exhausted, they don't have time 
to learn new tools, they don't have staff to run them, and they 
don't have budget to hire help. And they fear that once their 
data goes into AI tools, it stops being theirs. They are right 
to be careful. It is one of the reasons we built BoodleBox to 
be private by design. Not only do we have best-in-class 
security, but we never allow our customers' data to be used to 
train AI models. In fact, we are one of the few platforms 
approved by the House's own chief administrative officer for 
use by your staff. A small business owner deserves the same 
assurances.
    I have seen what this looks like when it is done right. The 
University of Michigan runs the Detroit Neighborhood 
Entrepreneurs Project. It serves more than 400 small businesses 
a year. More than 9 in 10 of them are minority owned. Last 
year, they put BoodleBox in the hands of all those 
entrepreneurs with the coaching to use it well. One of them is 
Tekeyah Gaines, who runs a company called GT Coffee. Through 
BoodleBox, she picks the right AI model for each task: one to 
price her products, another to build her marketing. As a 
result, her average order has grown from $38 to $47. AI let her 
grow before she had the resources to hire. She didn't outsource 
her judgment to AI. She amplified it.
    I would like to leave you with three requests. First, fund 
the roads, not just the cars. Put training and real support 
behind the Small Business Development Centers that the 
Committee has always strengthened with the AI for Main Street 
Act. Second, protect small business data so no owner fears that 
using AI means giving their work away. Third, take care that 
the rules meant to do good do not wall out the small. 
Compliance that only the giants can afford will hand this 
technology to big companies and lock out those who need it the 
most.
    Throughout its history, America has provided opportunities 
that let small business owners thrive and prosper. In this era 
of rapid change due to AI, it is our responsibility to ensure 
that those opportunities not only remain, but expand. To do so, 
we must not just hand small business owners a faster car. We 
must help them build better roads, better roads worth driving 
on. Main street, I guarantee you, will take it from there.
    Thank you. I look forward to your questions.
    Chairman WILLIAMS. Thank you. The gentleman yields back.
    I now recognize Mr. Aguh for his 5-minute opening remarks.

 STATEMENT OF CHIKE AGUH, HEAD OF INNOVATION & STRATEGY, KAPOR 
                             CENTER

    Mr. AGUH. Good morning, Chairman Williams, Ranking Member 
Cisneros, and Members of the Committee. I want to thank you for 
this invitation to testify today. And I will say as a former 
congressional intern who walked these halls two decades ago, it 
is a remarkable full circle moment and very much proof of what 
is possible today in America.
    My name is Chike Aguh. I serve as head of innovation and 
strategy at the Kapor Center. And through the Kapor Foundation 
and Kapor Capital, the Kapor Center has backed more than 200 
startups and fledgling businesses since 2011 that make 
healthcare, childcare, education, and housing more affordable 
today in America.
    Few topics matter more than the intersection of artificial 
intelligence and the small businesses that power this nation. 
If you remember nothing else I say today, remember this: the 
rise of AI carries both promise and peril. They are both real. 
Our shared responsibility is to capture that promise and 
mitigate that peril.
    For small businesses the promise of AI is very clear. 
Generative AI and AI agents can remove many of the very 
barriers that prevent entrepreneurs from starting and scaling 
businesses, from market research to back office capacity to 
navigating regulations.
    Last year, Matt Rosenberg in California left his marketing 
job to open a Thai restaurant with his wife, a fourth-
generation cook from Bangkok. When the storefront lease proved 
unaffordable, AI surfaced a rare home kitchen permit they never 
knew existed, cutting their startup costs by more than 90 
percent and turning dense regulations into simple checklists. 
This February, Bangkok Rush Thai Kitchen opened in Alameda, 
California, about 12 minutes from our home office. And when 
Matt was asked what he would have done without AI in this 
situation, he simply said, I would have just given up. Matt's 
story captures the promise of AI, making entrepreneurship 
possible for all, not just for some.
    But the peril is just as real. And it is threefold and it 
is important to name. First is trust. Right now, AI adoption, 
and there are ranging definitions and estimates of adoption, 
varies across small business and it is nowhere near where I 
think we want it to be. And I think what we would like to say 
at the Kapor Center is technology moves at the speed of 
innovation, but adoption moves at the speed of trust. And right 
now that trust is still being earned by this technology in the 
marketplace.
    Secondly, concentration. If AI and the knowledge of how to 
use it is only concentrated in the largest firms, the gap with 
main street is going to only widen.
    Lastly and third, fitness for purpose. If these systems are 
unreliable or poorly governed, then small businesses are left 
to navigate these risks alone, unable--as a former White House 
Deputy National Cyber Director Camille Stewart Gloster has 
warned, they would be unable to protect their intellectual 
property, their consumers, or their competitive advantage.
    So the promise or the peril, which will we live into? It is 
easy to feel like this will happen to us, but at the Kapor 
Center we like to echo President Kennedy where he says things 
do not happen, they are made to happen. And so for the future 
that we want, how do we make it happen? And we would say that 
there are four parts to that answer.
    First, we will have to ensure that small business leaders 
have both AI literacy and practical guidance on where AI 
creates the most value. The bipartisan AI-WISE Act and the AI 
for Main Street Act are promising first steps, and we hope they 
are only the beginning.
    Second, we must help firms build AI-ready workforces. An 
AI-ready workforce is one that is not just AI literate, but AI 
native, fully comfortable working alongside these tools, but 
also strengthening their unique human skills that AI for now 
cannot replace: leadership, communication, interpersonal 
connection, and judgment.
    Third, we need a national framework for AI governance. We 
believe commonsense guardrails like those in the AI Civil 
Rights Act, which we endorse, build trust by preventing 
unlawful AI discrimination, requiring transparency for critical 
uses, and providing real accountability. We also need 
consistent rules of the road on security, privacy, and 
intellectual property so that entrepreneurs, this is what is so 
important, can spend their time serving customers and not 
navigating AI risk.
    Fourth, government must be a partner and a pioneer, not a 
barrier. Government should show the way by partnering directly 
with AI native companies to solve societal ills and take down 
the bureaucratic barriers that 6 percent of these companies say 
are barriers to their scale and to them serving communities. If 
those partnerships could happen and just make a 2 percent 
improvement on many of the nation's biggest challenges, we 
could unlock over $100 billion of GDP for this nation every 
year.
    At the Kapor Center, we believe that America is stronger 
when there are more entrepreneurs in it, not fewer. We must 
listen to them, make sure these solutions reach them, 
regardless of who they are and where they live. If these 
solutions that we are debating here are not felt in places like 
my home county of Prince George's or El Paso, Texas, or 
Appalachia or the Ozarks, we will not get the next generation 
of small businesses.
    And so I want to thank the Committee for having me. I want 
to start that we believe this is--and say this is a time of 
great promise and peril, and that we believe this future will 
not just happen, it will be made to happen.
    Thank you so much.
    Chairman WILLIAMS. The gentleman yields back.
    And we will now move to the Member questions under the 5-
minute rule. I will recognize myself for 5 minutes.
    Mr. Qaiyum, Merz Apothecary has been a fixture on the 
Chicago street corner, as you said, for 150 years. But through 
smallflower.com you are now competing nationally. Imagine a 
catalog of more than 14,000 products with a staff of around 50 
and as a national retailer would have entire departments 
handling that kind of merchandising, product discovery, and 
online marketing. Can you walk us through briefly? AI has let 
your team take on that used to require the resources of a much 
larger company, and where has it closed the gap with larger 
competitors and where does it still fall short?
    Mr. QAIYUM. Yes, thank you for the question, Chairman.
    You know, when you are running a small business, as I have 
done for about 28 years, and I have worked in the corporate 
world, in the corporate world you have departments who can--you 
know, a department for every task. And in our business and in 
most small businesses, one, two, a small handful of people are 
wearing all of the hats across--that would fall across a much 
larger corporation. So for us, the way we use AI is often I 
think of it as we are looking for ways that we can take the 
simple work and the tasks away that we have to do so that we 
can focus on the deeper work that helps our business grow. So 
that might be like the example I gave matching bills to 
invoices, which is obviously important and we can't exist if we 
don't do that. But it isn't necessarily the best use of a 
human's time because we have a lot of other things to do. So 
that would be a simple example.
    And then in marketing, you know, nowadays, we are able to 
test our marketing across the country to all types of segments. 
And we used to sit there and think should we test this ad for 
this segment in this part of the country or for this group of 
people? And it isn't really realistic to do all the testing you 
need to do to succeed as a small business. So now we are able 
to use the AI to test across a lot of different creative and 
target customers. And it has been a huge help for us. Those are 
two examples.
    Chairman WILLIAMS. Thank you. Mr. Crenshaw, research shows 
that nearly three-quarters of small businesses are now using 
AI, but the headline number surely hides a lot of variation. 
Question is, how representative is that data across different 
sectors and regions? And what separates the small businesses 
that are successfully adopting AI from the ones falling behind?
    Mr. CRENSHAW. As we look at the data, you know, 58 percent 
of small businesses, according to our survey nationwide, are 
using generative artificial intelligence. Now, if you look at 
the higher adopters, that tends to be smaller tech firms, it is 
around 70 percent adoption rates at that point. Entertainment 
companies that are smaller, it is around 65 percent. But then 
when you dig down in the numbers, you know, you still have 
about half of retailers, restaurants, traditional brick-and-
mortar companies are using generative artificial intelligence 
to grow and thrive.
    In fact, had a chance to talk with the owner of a skincare 
company in the Coachella Valley, who has been able to use 
generative AI to help her cut costs by sourcing products from 
places with lower tariffs or lower costs due to inflation, so 
she doesn't have to pass those costs on to consumers. And so it 
really is a mix of the type of companies that are using this 
across all sectors.
    But at the same time, what we have found, though, the 
companies that are not using generative artificial 
intelligence, about a third are worried about the regulatory 
uncertainty that is out there. About one in five believe that 
they can't find the workers who are properly trained at this 
point to actually use generative AI and make it work for them. 
And then another third are really, you know, still not sure how 
it will work for their business. So it is one of the reasons 
why it is so critically important that we establish clear 
national frameworks on the regulatory side, like the Secure 
Data Act on data privacy, create a national AI framework that 
is workable. And we also have training programs in place, like 
the AI for Main Street Act and AI-WISE Act, that help small 
businesses really get their head around how to use small 
business--or AI responsibly.
    Chairman WILLIAMS. Mr. Hoang, in the short time that I have 
got left, from your work with BoodleBox, what does AI literacy 
realistically look like for a typical main street owner and 
their employees? And how can platforms like yours and the 
broader training ecosystem help them build those skills in a 
way that supports running the business rather than becoming 
another burden on their time?
    Mr. HOANG. Very briefly, thank you, Mr. Chairman. I think 
AI literacy has three components. First, domain expertise 
piece. You have to know what questions to ask, what context to 
provide to be able to evaluate AI outputs.
    Second, AI enablement, knowing when and how to use AI. Not 
every problem requires an AI solution, but if it does, what are 
the tools and how do I use them responsibly?
    And third, I would argue that in this era of AI, the things 
that make us uniquely human are more important than ever: 
critical thinking, collaboration, communication, creativity. 
And so those combination of those three things are what we need 
for today's workforce.
    Chairman WILLIAMS. Okay, thank you. My time is up.
    I now recognize the Ranking Member for 5 minutes of 
questions.
    Mr. CISNEROS. Thank you, Mr. Chairman.
    Me and my colleagues and I were deeply concerned when we 
saw the President's executive order on AI published in 
December. There are several concerning elements to this 
executive order, but the most concerning is a requirement by 
establishing a uniform federal policy framework for AI that 
preempts state laws on AI as well as data centers.
    I support strong federal AI regulation and I think it is 
important that we have that. But I am worried that this EO 
punishes states like California, my home state, that are 
proactive and forward-thinking enough to harness the benefits 
of AI while also creating guardrails against potential harms, 
especially because this EO removes all state laws without 
putting any safeguards in place.
    Mr. Aguh, can you share with a preemptive--can you share 
why preempting state AI laws can be harmful without any strong 
regulatory safeguards?
    Mr. AGUH. Sure, Congressman. Thank you so much for the 
question.
    And I think for us, the Kapor Center, we very much think 
the best way forward is a single national framework for AI 
governance. In lieu of that, we do not think the best approach 
is no regulation. We believe that right now, if I cannot have 
national regulation, then someone needs to step in. And right 
now, states are stepping forward to create those safeguards. 
One can argue how optimal that is, but we would say it is more 
optimal than having no regulation or protection whatsoever, 
particularly for this topic that we are talking about today.
    If you talk to many small businesses about why they may not 
be adopting it, it is because they are unclear about what the 
rules of the road are and what protections exist for them, 
whether it be around their data, around their security, around 
civil rights. And having those rules, even if they are state-
based rules, can actually be a tool to increase trust, which 
can increase adoption, which I think we have all said on this 
panel is to the benefit of small businesses in their 
communities.
    Mr. CISNEROS. Yeah, and, like you said, the trust is the 
important thing. Right? That is what is going to allow more 
people to use this tool.
    So, Mr. Aguh, in your testimony you said government should 
be a partner, not a barrier. Now, Rep. Jack and I introduced 
the SBA IT Modernization Reporting Act to address challenges at 
the SBA in carrying out IT projects that support small 
businesses. I am glad to hear it unanimously passed the House 
and now a Senate companion is being introduced. How 
counterproductive can it be to small businesses if government 
agencies like the SBA improperly utilize AI?
    Mr. AGUH. Again, Congressman, thank you so much for the 
question. It can be harmful in two ways. One, the government is 
in some ways an influencer and a leader for so many other types 
of industries across the country. When there are misuses at the 
federal level, it can potentially, frankly, incentivize and 
almost create cosigning for those misuses in others. That is 
one.
    Two, when there are bad effects of those misuses, it 
creates a chilling effect for other folks who may want to 
partner with AI--native AI-driven companies. And we think it is 
why the SBA, we want to be pioneering, but also strategic in 
terms of how they use it, so they can actually show the way for 
what right looks like instead of highlighting what wrong can 
look like. And we believe if that happens, more small 
businesses will be able to do more at every level of government 
and at every sector to improve their communities and improve 
problems around the country.
    Mr. CISNEROS. All right. Thank you for that.
    Mr. Hoang, I loved your example about the University of 
Michigan and how they are teaching companies how to use AI. 
Moving forward, as you said, literacy is very important. What 
role should the SBA play in this when it comes to literacy? AI 
ensuring that small businesses know how to use these tools and 
use them properly to their benefit.
    Mr. HOANG. Yeah. As we saw in places like Detroit, when you 
combine access to the tools with the training and coaching to 
use them, well, that is when you see results. The SBA obviously 
has the resources and the reach to provide that type of 
training and resources. Obviously, private industry has a role 
to play as well, but the reach of the government is much 
greater and particularly in, you know, urban America, in 
downtowns, in the far reaches of past the last stoplight of 
rural America. I think the SBA can really make an impact in 
terms of providing resources necessary for the responsible and 
collaborative use of AI.
    Mr. CISNEROS. Mr. Crenshaw, same question to you. What role 
should the SBA play in AI literacy?
    Mr. CRENSHAW. We believe that SBA should play a fundamental 
role in AI literacy. It is one of the reasons why we support 
the AI for Main Street Act and the AI-WISE Act.
    Mr. CISNEROS. All right. Thank you for that.
    Mr. Chairman, I yield back.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Ms. Van Duyne from the great state of Texas 
for 5 minutes.
    Ms. VAN DUYNE. Thank you very much, Mr. Chairman.
    You know, small businesses really do drive the economy, I 
would say, throughout the country, but especially in North 
Texas, and AI seems to be giving entrepreneurs new tools that 
were once out of reach for all but the largest of companies. It 
is helping owners save time, make better decisions so they can 
focus more on serving customers and growing their businesses. 
And on this Committee we are working alongside the Trump 
administration to remove a lot of the barriers and to help 
small businesses to put these tools to work. Washington should 
be building on that progress without creating new uncertainty 
or unnecessary costs for small businesses so that businesses of 
every size can benefit as America continues to lead in AI.
    Mr. Crenshaw, AI is already helping small businesses 
compete with much larger firms. Washington needs to be careful, 
as I mentioned, not to regulate away that advantage, but, at 
the same time, business owners need confidence that their 
customer data, the financial information, proprietary work are 
secure. So as we consider some of these privacy concerns, what 
do you think that we should be looking at first and how can we 
address real risks without creating new compliance burdens that 
will make AI less accessible to main street companies?
    Mr. CRENSHAW. It is an excellent question. And, you know, 
there is a reason that Texas small businesses are using AI. 
Eighty-six percent of them grew their workforce, the ones who 
used it, but they have concerns. Sixty-two percent of Texas 
small businesses are worried about a patchwork of state AI and 
privacy regulations, creating an environment where small 
businesses incur the costs and don't reap the benefits and 
can't compete with larger companies.
    I think there are really two things that really can be 
helpful in creating a regulatory environment for AI. One is 
passing national data privacy legislation. The Secure Data Act 
is currently in front of the E&C Committee right now. It is 
legislation that is based in large part on the Texas Data 
Privacy and Security Act and also, along with 19 other states 
across the country, as a model for privacy legislation that 
would put consumers in charge of their data and give them the 
right to delete it, correct it. But at the same time, we also 
do need a national AI framework as well that prevents a 
patchwork from emerging.
    And I think as we look at that, one of the first things we 
have to do is address where is AI already regulated? We need to 
do a gap analysis to see where the laws can already play a role 
in protecting people. We already have laws in the books that 
protect against discrimination, privacy in over 20 states, 
consumer protection laws in 50 states. We have an FTC Act that 
protects consumers on a national level. And then at that point, 
there needs to be a real discussion about a risk-based 
framework that is targeted and tailored for those areas of 
harms where the law has not caught up with the technology.
    One example of that is the Take It Down Act, which was 
signed into law, which would have criminalized the distribution 
of deep fake revenge images and also given consumers a right to 
take those images off websites and off the internet. So that is 
really where we feel a balanced approach is.
    And I think as we look at AI regulation, it is important to 
note, you know, even if there is preemption of specific AI 
regulations across the country, there is still a backstop of 
these laws of general applicability, like consumer protection, 
discrimination, and privacy.
    Ms. VAN DUYNE. I appreciate the answer, by the way. I have 
asked a number of CEOs and founders to sit in the largest AI 
companies, and that was the best answer I have gotten. Very 
complete and well thought out. I appreciate that.
    Mr. Hoang, in your testimony, you discussed the importance 
of both proprietary and open models to small businesses, 
including the importance of open models due to cost. Can you 
kind of expand on the current state of the closed and open 
model ecosystem and how small businesses use both types to 
operate and build their businesses?
    Mr. HOANG. Yeah. To be clear, I am neither pro open or anti 
open or pro closed or anti open closed model. I believe in 
choice. Choice provides competition. It provides the consumers 
the opportunity to use the models that are best. We obviously 
are familiar with the closed models that are kind of on the 
frontier edge. There is also a number of open models that are 
very close. They are driving down the cost to access these 
capabilities.
    I built my platform on this idea of choice. You can choose 
what models you want to use in collaboration, so you can get 
the best of models working together. I think we need more 
competition in the sense of more access to both closed and open 
models so consumers can let competition do what it does best, 
which is produce the best products and services for America.
    Ms. VAN DUYNE. I appreciate that very much.
    And with that, Mr. Chairman, I yield back.
    Chairman WILLIAMS. The gentlelady yields back.
    The Chair now recognizes Mr. McGarvey from the great state 
of Kentucky for 5 minutes.
    Mr. MCGARVEY. Thank you, Mr. Chairman. Thank you, Mr. 
Chairman, for having this hearing today. I think it is 
incredibly important for us to be talking about AI as it 
relates to small business.
    As you all have pointed out, AI is not something that is 
coming. AI is here. We see it right now in Louisville, 
Kentucky. I see businesses who are successfully using AI in a 
lot of the ways you all describe, right, which is actually 
taking some of the more--the tasks that take hours upon hours 
upon hours to do, and then freeing up their employees to 
actually do the work that is central to the business. So see a 
lot of good applications.
    Have a lot of questions, too. Right? And see a lot of fear 
from people who are afraid that AI is going to take their job 
entirely. This is the kind of thing where, like, AI, I mean, 
could quite literally cure cancer or potentially be used to 
develop a type of biological weapon. It is the type of thing 
where AI can be used to help spur creativity, but we don't want 
to see it ripping off the beautiful sound of someone's voice or 
taking the hard work and creative energy that goes into music 
and products and taking that and taking it away from us.
    How do we replace and how do we protect people whose 
livelihoods are easily replaced by AI? How do we balance the 
needs for privacy with the needs for safety and security? And 
you guys talked about some of these things. So at the root of 
each of these questions, I think, is what I spend the most time 
thinking about when we think about AI right now. How do we make 
sure that AI is used for good? And this is something that I 
think is really important work of this body right now.
    And Mr. Crenshaw, I am going to start with you because you 
testified before the Science Committee all the way back in 2022 
about the ethical development of AI, and I am not being 
facetious when I say all the way back in 2022. When we talk 
about AI, 2022 was a very, very long time ago. We could be 
talking about the beginning of this year, and it might be a 
long time ago in the way that AI is developing.
    But I want to hear a little bit more about this, and I 
wanted to hear from you. What do you think the role of Congress 
is in ensuring that we develop AI that is ethical, that does 
good, and is used for good? And tell me in any way if some of 
your views have evolved since 2022.
    Mr. CRENSHAW. It feels like a long time. A lot has 
happened. A lot has changed since I testified in front of the 
House Science Committee. We have now seen the rise of new types 
of AI, for example, and more news about frontier models and 
agentic artificial intelligence and the rise of chatbots over 
the last few years.
    But I think one of the things that has been helpful in 
government, and was actually released during the Biden 
administration was, the release of the NIST AI Risk Management 
Framework, which provides a great roadmap toward businesses of 
all sizes to examine and look at how they are using artificial 
intelligence to address risks to things like privacy and other 
potential harms that could come out. It is one of the reasons 
why the Risk Management Framework is iterative and meant to be 
reexamined to make sure that it is catching up with the 
technology. And that is exactly what is happening right now. 
NIST is currently reviewing and making changes to that Risk 
Management Framework right now.
    It is also putting out profiles for different use cases for 
artificial intelligence. For example, just recently in the last 
year released a risk profile on generative artificial 
intelligence. It is now working on one on critical 
infrastructure. But it is also possible that NIST could also 
examine ways for small businesses to more easily look at how to 
use artificial intelligence in an ethical manner.
    So that is the way government is already working. But, you 
know, at the same time, you know, there are other things that 
we think that can be done. For example, Kentucky led the way on 
data privacy legislation. A super majority of Republicans and 
Governor Beshear, a Democrat, enacted Kentucky's data privacy 
law, which has rights around AI. It has deletion rights. And we 
think that that is the right model for the United States in 
terms of passing national privacy legislation, which would be a 
building block to getting us to understanding how data can be 
regulated, so then we can start looking at more of the broader 
AI pieces.
    Mr. MCGARVEY. No, thank you. I appreciate you saying that. 
And this is one where I wish, I think all of us probably wish, 
we had more than 5 minutes.
    And this is an issue I don't want to see get political, but 
you mentioned the importance of NIST. I have to point out that 
this administration, the Trump administration, has fired over 
700 NIST employees and the fiscal year 2027 budget requests 
proposing 53 percent of that agency's funding. I think when we 
are talking about how do we use AI for good, how do we have 
this framework, an agency like that really is important for 
helping us develop those tools. I also appreciate you bringing 
up data privacy.
    Unfortunately, I am running out of time, but really 
appreciate you guys being here. Appreciate the information you 
provided. This is something is going to be so necessary for 
small business, for everyone to be able to compete, for us to 
develop the right framework. So appreciate you guys being here.
    Mr. Chairman, I yield back.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Mr. Alford from the great state of Missouri 
for 5 minutes.
    Mr. ALFORD. Well, thank you, Mr. Chairman. Good to see you 
and everyone coming in today to testify on this very important 
matter.
    Artificial intelligence is quickly transforming the way 
Americans live and work, and nowhere is that more evident than 
on main street. And that is what we are concerned about here in 
this Committee. What was once viewed as a technology only 
available to the largest of corporations is now becoming 
available and affordable for small businesses all over our 
great nation. Whether it is helping a manufacturer optimize 
production, allowing a family-owned retailer to better manage 
inventory, improving customer service, or reducing the 
administrative burden on small business owners, AI is giving 
entrepreneurs new opportunities to grow, to innovate, and to 
compete.
    At the same time, many small businesses still face 
significant challenges when it comes to adopting these tools. 
Business owners often tell us that they don't know where to 
begin. They worry about protecting customer data. Many simply 
lack the time or technical expertise to evaluate the growing 
number of AI products entering the marketplace.
    We here in Congress, I think we have a very important role 
to play to make sure that innovation is encouraged, not 
hindered by unnecessary regulation, while also making sure 
small businesses have access to the education and resources 
they need to use this technology wisely to grow their 
businesses.
    Mr. Crenshaw, I was proud to introduce the bipartisan AI 
for Main Street Act along with my colleague, Representative 
Scholten. And this legislation would utilize the Small Business 
Development Center network to provide practical AI training, 
cybersecurity best practices, data protection guidance, and 
technical assistance. The House passed this bill by an 
overwhelming bipartisan vote because we recognize here in 
Congress that AI adoption is about more than simply providing 
access to technology. It is really about giving entrepreneurs 
the confidence to use it effectively.
    From your perspective, how valuable would this type of 
locally delivered technical assistance be? And what additional 
resources should Congress consider to make sure main street 
businesses can successfully adopt AI? Sir.
    Mr. CRENSHAW. Well, first and foremost, want to thank you 
for your leadership and sponsorship of the AI for Main Street 
Act. It is a critical step to ensuring that small businesses 
know the tools available to them, know how to use them in a 
proper and ethical manner. And it is a reason why it is so 
important. As you look at your home state, 87 percent of 
Missouri's small businesses using AI have grown their 
workforce. So it is--this is why we need to get these kind of 
tools in front of them.
    So we think it is incredibly important that this bill pass 
in the Senate along with the AI-WISE Act. And then also SBA has 
the funding it needs in order to successfully promote AI 
adoption for small business.
    Mr. ALFORD. Thank you. Mr. Qaiyum, a big concern that I 
have heard from our constituents when I am doing town hall 
meetings or coffees with people in small businesses, we are in 
those small businesses regularly when we are back in our 
district, they are concerned about AI replacing employees, 
especially entry level roles. In your experience, has AI 
replaced workers or is it more of a tool to allow workers to be 
more productive and more competitive for those small 
businesses, competitive with the big guys?
    Mr. QAIYUM. Thank you for the question, Congressman. At 
Merz, in my experience, it really is a competitive advantage, 
and it is, I would say, even more, it is a bandwidth advantage. 
And by that I mean in my almost three decades running a small 
business, I have never felt that there was a lack of 
opportunity. There was just a lack of time, money, and 
resources to tackle the opportunity. So for me, it feels like 
what we have experienced is that using AI, my team is able to 
go after bigger opportunities and help our business grow, even 
the entry-level folks.
    Mr. ALFORD. Thank you. Mr. Hoang, last question. What are 
the biggest obstacles that small businesses face after they 
decide to use AI? And what has helped your small business 
customers turn AI from a project into an everyday business 
tool?
    Mr. HOANG. I would say, thank you for the question, two 
things. First, where to begin? AI, that chat window can seem 
like a lot of promise if you are an AI early adopter. For 
someone who is not familiar with AI, that seems like an ocean 
you get lost in. So it turns out AI is actually very good about 
teaching you about AI if you use it right. It is one of the 
interesting kind of components of the tool.
    The second is we hear a lot about prompt engineering and 
the need to be able to ask AI the right questions. In my 
opinion, what I have seen the most powerful use of AI, it is 
actually about context engineering. It is what you tell the AI 
before it gets started. And so educating business owners on how 
to use the context they are already sitting on, their customer 
data records, your past performance, your past contracts, and 
how to feed that into AI in a way that is safe, secure, and 
private, that really unlocks the power and potential of AI.
    Mr. ALFORD. Thank you. And I yield back.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Mrs. McIver from the great state of New 
Jersey for 5 minutes.
    Mrs. MCIVER. Thank you, Chairman, and thank you, Ranking 
Member, for convening this hearing today. I want to thank each 
of our witnesses for joining us today on a heat wave here in 
Washington, D.C., so stay hydrated.
    Artificial intelligence is often described as a tool to 
help small businesses become more productive and reach new 
customers. But its value depends entirely on the safeguards we 
put in place. Today's AI systems still reflect deep biases, 
raise serious cybersecurity risk, and operate with little 
transparency. While large corporations use AI to strengthen 
their advantage, many small businesses are left behind. We are 
not doing nearly enough to ensure that small businesses can 
access and benefit from these technologies on fair terms.
    AI's rapid growth depends on the massive expansion of data 
centers, which place heavy burdens on local communities, local 
electricity grids, water supplies, infrastructure, and people, 
especially in my district in New Jersey's 10th. These projects 
often move forward with little transparency or input from the 
communities most effective. That is why I introduced my AI Data 
Center Site Selection Transparency Act, which would bring an 
end to surprise AI data center construction. If we are serious 
about encouraging innovation, we have to protect small 
businesses and communities that bear the cost of this 
transformation.
    Mr. Aguh, spent a lot of time talking about this in your 
opening testimony, which I can appreciate about how AI has some 
potential to increase productivity, but it also has millions of 
America's workers wondering what will happen to their jobs due 
to increasing AI use. I want to elaborate a little bit more of 
what one of my colleagues talked about, Mr. McGarvey, about 
Americans in the workforce and how AI impacts that.
    Mr. Aguh, how would small businesses or how should small 
businesses think about using AI to assist their employees 
rather than replace them?
    Mr. AGUH. First of all, Congresswoman, thank you so much 
for the question. And I think this is a place where I think 
history is helpful. If you think about in the past, in the 
manufacturing space, and you think about when someone running a 
factory was trying to figure out how to make the line run 
faster, the first place they went was they went to their 
employees and said, you work on the line. Tell us how we can 
make this line 10 percent faster, 15 percent faster, and the 
workers generally delivered. And I think the same ethos is 
important here.
    When business leaders are implementing AI, the people who 
must be intimately involved are the workers, particularly on 
the front line, who are using it. One, because that is ideally 
the types of workplaces that we want. But secondly, they have, 
in many ways, the best ideas for how to make sure that that AI 
can be used to actually create the efficiencies that we want. 
What can I take off my plate that will make me better able to 
serve our customers, grow our business, serve our community? So 
I think that is number one, include workers in that process. 
And usually when I talk about these fronts, there are about 10 
people, 20 people, many of which--and in many ways those 
relationships are already being created.
    I think the second piece is, and you have heard, I think, 
across all the witnesses, which is we have to be investing in 
their skills now. Again, how do we make folks AI native so that 
they know how to use these tools? The same way that we expect 
workers to be able to use Microsoft Office or Google Docs, same 
way this is going to become that level of table stakes. 
Therefore, how do we invest in that proactively now before it 
truly is a barrier to employment?
    I think the third piece, this is particularly true for 
small businesses, and you heard this from my example for 
Bangkok Rush Thai Kitchen, which is in many ways small 
businesses need to think about what is not happening in my 
business that AI can help make happen versus what is the thing 
that is happening now that potentially could be done by someone 
else? And when you have, again, businesses of 10 or 15 or 20 
people, there are lots of things that aren't happening because 
they just don't have the arms and the legs to do it.
    So those are the three things that I would say: include 
workers, make sure they are trained, and then thinking through 
strategically what is not happening in my business that AI 
could help make happen.
    Mrs. MCIVER. Got it. Thank you for that. And many of you, I 
think each of you actually talked about the need for AI 
literacy, right, for businesses. In your opinion, what 
investments in workforce training will be necessary to help 
workers adapt?
    Mr. AGUH. I think it is two things, or if I put it in two 
buckets. One is just literally training folks on the tools, 
again, the same way that there are still classes that you can 
take on Microsoft Word and Excel. And you have much content out 
there, a lot of it either low cost or no cost, which is good. I 
think we particularly need to make sure this gets to the, 
frankly, the most in need, underserved workers, the most 
underserved communities, whether those be urban or rural, 
because that is--because those are usually the folks who get 
that information last.
    I think the second piece, and I say this as someone who 
used to work at the Department of Labor, is how do we make sure 
that those human skills, again, leadership, communication, are 
emphasized? And that is where things like work-based learning 
are really important. You learn those skills not by hearing 
about them, learning about them, but you learn them on the job. 
So apprenticeships, hire to train, hire to train/deploy 
apparatus are really, really critical. So more work-based 
learning and then more targeted knowledge of how to use these 
tools.
    Mrs. MCIVER. Got it. Thank you so much for that.
    With that, Mr. Chairman, I am out of time. I yield back.
    Chairman WILLIAMS. The gentlelady yields back.
    I now recognize Ms. King-Hinds from the Northern Mariana 
Islands, the great islands, for 5 minutes.
    Ms. KING-HINDS. The amazing Northern Marianas. Thank you, 
Mr. Chairman.
    Mr. Hoang, of the things that resonated with me was your 
statement that, hold on, excuse me, that the tool is only the 
car. The road is training, coaching, and support. And as the 
Chairman has mentioned, I represent the Northern Mariana 
Islands and one of our biggest challenges often, just our 
remote geography and our very limited access to technical 
expertise. So if Congress could do one thing to ensure that AI 
doesn't widen the gap for remote, isolated communities like 
mine, what would that look like? What would that investment be?
    Mr. HOANG. Thank you for the question. I would say, 
obviously, pass the two acts that came up from this committee, 
right, the AI-WISE Act and the AI Main Street Act that 
activates the, you know, SBA and the Small Business Development 
Centers to provide that training and expertise, and the 
government can reach all around the world, right, even to those 
territories and states that are further afield. So I would say 
pass those acts.
    And second, continue to have these discussions, continue to 
have these hearings and bring businesses small and large. The 
world is changing fast. As one of the representatives noted, if 
we have this discussion 6 months from now, the world is going 
to be different.
    Ms. KING-HINDS. Yeah, I agree. There has been a lot of--I 
think most of the panelists have touched on workforce 
development. And, you know, that is something I am particularly 
interested in as, you know, this new technology continues to 
change on a daily basis, if not by minutes. Right? And I just 
kind of want to flesh out some of your thoughts on what we 
should be doing in terms of investing to be able to prepare our 
workforce for this new technology.
    And I will start with you, Mr. Crenshaw.
    Mr. CRENSHAW. Well, I think it is important to note, too, 
in addition to AI training, as we are looking at building out 
the infrastructure for AI, we are going to need training in 
that as well, too. You know, we have seen a rise in 
apprenticeship programs for things like electrical work to help 
out build out the infrastructure that is necessary for 
artificial intelligence. So it is a reason why many of the 
companies we work with are working to get people trained in 
those skills as well.
    But it is also fundamentally important that we have small 
business owners trained on how to use this technology. And it 
is one of the reasons why the Chamber launched its Small 
Business Basics program. But also, as we are looking at 
education, we need to begin developing programs where K through 
12 has some degree of AI built into it, postsecondary education 
as well, too, building AI into those curricula, and into an 
interdisciplinary approach in a lot of ways in higher ed. And 
so it really is going to be an across the board strategy 
necessary to ensure that we have an AI-ready workforce.
    Ms. KING-HINDS. All right, thank you.
    Mr. Qaiyum, did you want to chime in?
    Mr. QAIYUM. Yes, thank you. Right now we are probably more 
advanced than most small businesses of our size in using AI. 
But that is because I happen to be into technology, and other 
leaders and I in our business have been pushing ourselves and 
our teams to do it. But even in our company, we feel like it is 
a challenge to get the rest of the company to adopt it. So I 
think that it is important to come up with programs, ideally 
through the SBA or other means, that help us train workers and 
let them experience the advantages that come from learning how 
to use these tools well.
    Ms. KING-HINDS. Mr. Hoang, did you want to say something as 
well?
    Mr. HOANG. Yes, thank you. We are privileged to work with 
almost 170 colleges and universities on their teaching and 
learning with and about AI. What artificial intelligence needs 
is more actual intelligence. And it is that combination that 
allows us to unlock its potential.
    If you think about the nature of work, right? Defining a 
problem, designing a solution, creating that solution, 
validating it, AI makes those middle two steps easier and 
cheaper than ever. But the key isn't those two steps. The key 
is what comes before. Am I using AI for the right problem? And 
what comes after? Does this solution actually work in the real 
world? And so workforce readiness, maybe, ironically enough, 
isn't about learning how to use AI and the tools. It is 
learning how to apply them to the real problems and to solve 
real problems in the world.
    Ms. KING-HINDS. Mr. Aguh, you have the rest of my time.
    Mr. AGUH. I think the only thing that I would add here is 
more real world. You might have kind of heard it in the last 
answer, which is, again, for those of us who are athletes at 
any point in our lives, you didn't read a book on how to do a 
jump shot or throw a football. You did it in the field with a 
coach. And I think right now, AI is, ironically, showing the 
need for more work, true in the field, in the place of work 
training and learning, so folks can learn to use these tools in 
real time. Classes are good. Real life experience is better 
because we are learning how to use these tools because they are 
evolving so fast.
    And so I think that was the only thing I would add here, 
which is how do we make sure that people, really young people, 
are getting to use these in the field, not just in the 
classroom.
    Ms. KING-HINDS. Thank you. I yield back, Mr. Chair.
    Chairman WILLIAMS. The gentlelady yields back.
    I now recognize Mr. Tran from the great state of California 
for 5 minutes.
    Mr. TRAN. Thank you, Mr. Chairman and Ranking Member, and 
thank you for our witnesses for being here.
    AI is no longer a technology of the future. It is already 
changing how main street does business. From helping a family-
owned business manage inventory to allowing a new startup to 
reach new customers, AI has the potential to make small 
businesses more productive and more competitive if we use it 
well.
    As someone who represents Southern California, I see both 
the promise and risks every day. L.A. County and Orange County 
are home to a booming AI and tech innovation ecosystem and also 
home to thousands of immigrant-owned small businesses that are 
worried about what AI means for their livelihoods.
    There is a broad bipartisan agreement that America should 
lead the world in AI innovation. But leadership also requires 
rules of the road. That is where Congress has fallen short. We 
still don't have a clear national framework for AI governance 
that addresses safety, innovation, and equal opportunity.
    Indeed, access to AI is not equal. In many minority 
communities access to high-speed internet, modern devices, 
digital skills, and language-accessible tools remain uneven. 
This digital divide simply does not disappear during time of 
rapid AI adoption. It deepens. This is why AI literacy must 
come a become a national priority. Small business owners should 
know not only how to use AI, but also how to identify its 
risks, protect sensitive business data, recognize bias, and 
make an informed decision about when AI should and should not 
be used. That education has to reach every community, including 
immigrant entrepreneurs, who are often among the most 
innovative small business owners in the country.
    The largest corporations already have the resources to 
adopt AI, manage compliance, and pay for future subscription 
costs. Many small businesses do not. If we fail to close that 
gap, AI could accelerate market concentration and leave main 
street struggling to compete. We need to make sure that this 
doesn't happen. Congress needs to invest in AI literacy and 
establish thoughtful federal guardrails to ensure that AI 
becomes a tool for innovation and opportunity, and not another 
barrier to success.
    Mr. Hoang, given your background, we both know the 
opportunities that this country provided our families, and we 
both chose to give back through military service before 
pursuing entrepreneurship. Your story is a powerful reminder of 
what the American Dream can look like. In your testimony, you 
make an important point that the challenge today isn't only 
access to AI, it is also readiness. You say many small business 
owners have been handed the keys to a Ferrari and sent down a 
muddy road. I never got that Ferrari key, by the way. But can 
you explain how important AI literacy is for consumer and 
entrepreneurs?
    Mr. HOANG. Thank you, Mr. Tran. And I appreciate your 
service as well given our shared heritage.
    Let me just draw that analogy a little wider. So we tend to 
think of AI like a faster car. Let's just do whatever we are 
doing today and just do it faster and better with AI tools. But 
if you think about it, a car is not just the faster horse. All 
right. A car requires, first, infrastructure. It requires 
training. It requires rules of the road. A car requires you to 
build the roads that can handle how fast the car can go. And 
most importantly, a car can go to places horses can't. And so 
in many institutions, organizations, public and private, we 
treat AI like a faster car. We simply do what we were doing 
before, just do it faster.
    I would argue the key to AI adoption and the key to AI in 
small businesses is to rethink the roads, to ask ourselves 
where do we want to go? And it may be a place we could not go 
to before. It may mean that a business that didn't have access 
to marketing tools because they couldn't afford it, now all of 
a sudden does. It may mean that a business that couldn't expand 
its market, could. AI enables these new opportunities, but only 
if we build the better roads, only if we build the privacy, the 
data protections, only if we provide the training, and only if 
we ensure that the regulatory environment doesn't overly burden 
small businesses compared to large businesses.
    Mr. TRAN. Let me follow up and ask you, is AI literacy a 
challenge right now in this country?
    Mr. HOANG. Yes, it is absolutely a challenge.
    Mr. TRAN. Can I ask to read all the panelists going down, 
starting with Mr. Crenshaw, if you agree?
    Mr. CRENSHAW. Yes.
    Mr. QAIYUM. Yes.
    Mr. AGUH. Absolute yes.
    Mr. TRAN. Okay. Then let me follow up with this. Should 
there be a dedicated funding, federal funding, to help bolster 
AI literacy nationwide?
    And let's go down the panel. Mr. Crenshaw?
    Mr. CRENSHAW. We should have public-private partnerships 
that work together.
    Mr. TRAN. Accept that.
    Mr. QAIYUM. I am not an expert on how it gets done, but I 
know we would appreciate it in our business.
    Mr. HOANG. Same answer here. I believe public-private 
partnerships and, you know, from there a wide variety where we 
get AI literacy.
    Mr. TRAN. Mr. Aguh?
    Mr. AGUH. Yes, but we will need public investment.
    Mr. TRAN. Okay. Thank you very much.
    And Chairman, I yield back.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Mr. Fuller from the great state of Georgia 
for 5 minutes.
    Mr. FULLER. Thank you, Mr. Chairman.
    Mr. Hoang, and, Mr. Crenshaw, you may weigh in on this, 
too, so my wife is a small business owner. I am a prosecutor by 
trade. So if you remember the old caveman lawyer, your AI world 
frightens and confuses me. So one of my concerns for small 
businesses on main street and the Appalachian communities that 
I represent is no different than the software you may use in a 
business. You know, someone will sign a contract, and then 
maybe a year or 2 years into it, maybe it is not delivering. I 
think you used the term ``AI adoption.'' Maybe it is not what 
they needed.
    How can we create an industry and framework to make sure 
that for that AI adoption on main street that these businesses 
have the opportunity to become--get the AI that they need to 
actually grow their business and not get into, you know, 24-
month contract for something that is not responding to their 
needs?
    Mr. HOANG. Thank you for the question. There is a lot of AI 
available, some of it is free, a lot of it you can buy month-
to-month. I don't think the locking is a problem. What is a 
problem is context. Right? There is going to be a fight for the 
context in which we provide our AIs and the context that 
emerges when we use AI. And I believe that users should have 
the ability to move that context from platform to platform. We 
do that inside my platform in the sense of like you can share 
context between different models. So if today Claude is the 
better model, you use that. If tomorrow Gemini is the better 
model, you use that. And so I think being model agnostic in 
what you create is the right path forward for industry 
providing these types of tools.
    Mr. CRENSHAW. I think it is important, too, as companies 
are looking at which AI to deploy, they shouldn't have AI be 
the solution for its own sake. They should actually go in with 
an identified set of challenges they are trying to solve for 
and then look for the AI solution that is best talented or best 
positioned and targeted for solving those issues. So, you know, 
I think that is one of the reasons why it is so important that 
we do have facilitated AI training and education so small 
businesses can get smarter about what tools might be better for 
them.
    Mr. FULLER. And I wanted to ask you about that, Mr. 
Crenshaw. So when you are talking about a public-private 
partnership, because if I am thinking about a small business in 
one of my main streets, I mean they don't have the time to 
think strategically and have big thoughts on like what are 
those questions to help me, A, with literacy and then the 
inputs that I need for the AI to improve my business because 
they are worried about, hey, I can't even get someone to show 
up for a shift. And that is going to, you know, ruin my 
Mother's Day, which happened to my wife where someone didn't 
show up to a shift, I don't have the certificate to go in and 
do her shift at her business, she has got to fill it on 
Mother's Day.
    So for those business owners that don't have the time to 
think big thoughts about what AI is appropriate for them, what 
does that public-private partnership look like so you can get 
that AI literacy for a small business to say, this is what I 
need.
    Mr. CRENSHAW. Well, I think that is one of the great things 
about the AI for Main Street Act and the AI-WISE Act are put 
together. They complement each other. The AI-WISE Act provides 
a lot of online tools and online availability of information. 
The AI for Main Street Act would work with SPDCs basically to 
have more of those localized trainings and localized education 
efforts as well.
    It is also one of the reasons why, you know, we think it is 
important that the business community itself takes a role in 
providing training. We at the Chamber have worked with local 
and state chambers of commerce to do trainings for local small 
businesses as well on AI through the Small Business Basics 
program.
    But also, too, I think it is important for individual 
businesses to be forward-thinking. One example is Hrag 
Kalebjian, who is the coffee shop owner I mentioned in my 
opening testimony, who is using AI for cutting his marketing 
down by about 70 percent. But what he does is he actually has 
an innovation hour with his baristas and his staff at the 
coffee shop to just go through how can AI help them and kind of 
going through new AI solutions to get them tooled and ready, 
even if they don't stay at his coffee shop to go on somewhere 
else. So it really is different aspects of the ecosystem when 
it comes to AI that have a role to play.
    Mr. FULLER. Thank you.
    Mr. Chairman, I yield back.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Ms. Goodlander from the great state of New 
Hampshire for 5 minutes.
    Ms. GOODLANDER. Thank you, Mr. Chairman. Thank you to our 
witnesses for being here for this really important hearing.
    You know, one of the through lines in this hearing has been 
a very powerful point that each of you have made, which is that 
getting access to AI is right now not the hard part for small 
businesses. The hard part is actually ensuring that a family-
owned funeral home in Berlin or a home builder in Brookline or 
a daycare in Keene can actually put this technology to use. And 
equally urgent, whether 5 years from now or 5 months from now 
maybe is probably more accurate, that small business will still 
have the leverage over the platforms that they built their 
businesses on.
    Mr. Hoang, thank you for your testimony. Thank you for your 
service. You know, your testimony has laid out for us a really 
clear vision of what doing it right looks like, what closing 
the readiness gap looks like. And I want to ask you, you know, 
our resources are limited. We are fighting tooth and nail for 
every dollar and many dollars that this administration is 
withholding from my state of New Hampshire that could actually 
go to solve and close this readiness gap. With limited 
resources, how could we scale up a model like the one you 
describe in your testimony, the Detroit Neighborhood 
Entrepreneurs Project? How could we scale this up? What would 
be your first concrete steps that we could take to scale up 
this model?
    Mr. HOANG. So I believe in public-private partnerships. A 
lot of the work we do at BoodleBox is with colleges and 
universities. They are the front door to democracy. Today's 
college students are tomorrow's workers. Obviously, state and 
federal funding and governments, you know, are intertwined 
closely with higher education. You know, I would like to see 
greater support for AI literacy at the place where it counts I 
think the most, right, during the formative years of someone's 
development just before they enter the workforce.
    Ms. GOODLANDER. Thank you. I appreciate that.
    I did want to ask about this. You make the powerful point 
that we got to fund the roads, not just the cars. To me, part 
of the road is connectivity itself. I represent one of the most 
rural districts in the country. And access to high-speed 
broadband is for many of my small businesses a core barrier to 
the adoption of AI tools. Can you speak to this in the rural 
small businesses you have worked with? And can you just--you 
agree that connectivity is part of what it is going to require 
for us to build the roads?
    Mr. HOANG. Yeah. Absolutely, Representative. In my written 
testimony, I talk about a rural family in Oklahoma. They live 
well past the last stoplight. Because they have good 
connectivity, they are able to access AI. They are able to have 
a marketing team, a development team, a business development 
team that is AI-powered that they would not otherwise have 
access to. But obviously, if they can't access the AI, they 
can't have access to those potential. And so connectivity is 
really a fundamental foundation for this access to the AI 
economy.
    Ms. GOODLANDER. It is. And I just want to say the Broadband 
Equity Access and Deployment Act, the BEAD program, has been so 
mission critical. We have got $21 million that is currently 
being withheld from the state of New Hampshire that could go to 
exactly this problem.
    Mr. Aguh, I want to ask you, thank you for your testimony 
and for the powerful points that you have made about the role 
of competition and the real perils that small businesses are up 
against. Before I came here to Congress, I was an antitrust 
enforcer. So I think a lot about what the scales have looked 
like and could quickly look like for small businesses. Can you 
talk to us about examples that you have seen in your work of AI 
applications that have actually made small businesses better 
able to compete with large dominant companies?
    Mr. AGUH. Sure. First of all, thank you so much for the 
question. And I think, let me step back for a second to say, I 
think I have seen two things that have helped this. One, you 
need to feel confident about transparency, for a small business 
to be able to know: is this tool doing what I need it to do? 
That is hard right now because the technology moves so quickly. 
So being able on the front end to know what you mean to have 
solved and then actually able to track them on a regular basis 
is so important because that is the first step to know when I 
need to switch.
    I think secondly, to get to the answer to your question, 
where we have seen the biggest advantages in a couple areas. 
First, qualified lead generation. Meaning if I am a business 
who sells by getting on the phone and trying to sell my wares, 
getting a qualified list of who those folks might be versus 
just picking up the phone book, super helpful. Using tools like 
LinkedIn, that is one.
    Secondly, back office capacity, whether it be accounting, 
tax compliance, things like that, being able to track all that 
and make sure that I am proactive versus reactive.
    I think the last piece, marketing. So many small businesses 
don't have a website. So many small businesses are not 
advertising in any way, shape, or form because they can't hire 
a designer. AI can make those things happen.
    Ms. GOODLANDER. Thank you. I yield back.
    Chairman WILLIAMS. The gentlelady yields back.
    And I recognize Mr. Meuser from the great state of 
Pennsylvania for 5 minutes.
    Mr. MEUSER. Thank you, Chairman. Thank you to our 
witnesses. Certainly a lot to talk about. And my apologies, we 
have other Committee responsibilities, many of them today.
    Mr. Crenshaw, I would like to start with you, please. You 
know, in business, I used to look at technology in the early 
2000s as it is either a weapon that is used against you or a 
weapon that you use to benefit your company. AI certainly fits 
into that category and then some. What are the challenges small 
business are facing as far as, you know, of course, there is 
privacy? There is, you know, cyber ransom challenges, I mean, 
the onslaught; the competitive nature of AI, whether you are 
there or not, and the usefulness of it. So maybe just give us a 
quick 30 seconds on what main feedback you are getting from 
your Members.
    Mr. CRENSHAW. Uncertainty in the regulatory environment is 
a major barrier. It is the reason why 57 percent of small 
businesses in Pennsylvania are worried about a patchwork of 
regulations that leads to uncertainty.
    Mr. MEUSER. Okay.
    Mr. CRENSHAW. You know, I think examples of that are we 
have a good base in about 20 states for data privacy 
legislation, but we see other states that are operating on the 
margins and trying to take more extreme approaches to 
regulation. We have seen those states, for example, craft 
legislation with the intent of only having their state 
attorneys general regulate to provide some certainty. 
Unfortunately, we have seen instances where the trial bar, for 
example, has gotten creative and used laws never designed for 
consumer privacy to have gotcha lawsuits for basic things like 
collecting cookies.
    So if you are an auto dealer who has a chatbot just trying 
to get in touch with, you know, a potential customer, we have 
seen auto firms that have been sued with smaller ones for--with 
demand letters from people who were never even customers using 
these invasion of privacy statutes that had nothing to do with 
consumer privacy. We have seen hospital systems even sued under 
this as well in Pennsylvania. And it is why we need reform of 
this type of litigation abuse that we are seeing across the 
country.
    And then it really goes to the heart of why we do need a 
national AI framework as well. If we have a state-to-state 
patchwork there, it will be highly problematic because only the 
larger companies are going to know how to actually comply and 
compete, and it is going to leave small businesses in the dust.
    Mr. MEUSER. So basically, one of the most useful tools we 
have had in a long while to create productivity and 
efficiencies and effectiveness, one of your biggest challenges 
is government involvement and intervention primarily at a state 
level?
    Mr. CRENSHAW. I think at this point if you look--let's look 
at data privacy, for example. There was a great survey that 
came out from ITIF that showed that if we have a 50-state 
patchwork of data privacy laws, it will cost the American 
economy $1 trillion over 10 years. Two hundred billion of that 
is going to be incurred by small businesses.
    Another example, I think if you look at the California 
Consumer Privacy Act, there was a rulemaking that came from 
that that was finalized just last year regarding automated 
decision systems, regarding cyber audits, regarding privacy 
risk assessments. The agency took a one line part of the 
California Privacy Act and turned it into a half-billion-dollar 
AI rulemaking. When you combine that with the full rulemaking 
with things like privacy, the agency estimated it was going to 
cost small businesses $16,000 annually to comply.
    Mr. MEUSER. Wow.
    Mr. CRENSHAW. So that is just one state.
    Mr. MEUSER. We will take it seriously of what you are 
saying here. Thank you.
    You mentioned about Basel III, basically that access to 
capital is--will be a very, very important right now, 
particularly with what we passed in the Working Family Tax Cut 
portion of the BBB where we have better bonus depreciation and 
better tax incentives for investment. So clearly that is 
something that is important.
    I am going to move on to Mr. Qaiyum. In your business, and 
congratulations, Merz Apothecary, how is AI helping you? And it 
was interesting the way you said how it now allows you to 
compete more so against the so-called bigger guys. Maybe you 
can talk about that a little bit.
    Mr. QAIYUM. Sure. Thank you, Congressman. You know, I 
always--there is a mantra that when you study small business or 
you look at the business leaders out there, they always say to 
work on your business, not in your business. And for most small 
business owners, that is just like it is a dream, but it is 
never reality. And I feel like in the past year since we have 
been using AI more heavily in our business, it is the first 
time where I feel like our leadership team has been able to 
work on the business. And when you are a small business owner, 
so much of your thoughts, the reason I lose sleep is how do we 
make sure something doesn't happen because it is small and you 
feel like, you know, a pandemic can come along, anything can 
come along and take that away, so.
    Mr. MEUSER. Is the AI investment you are making cost 
prohibitive or you can----
    Mr. QAIYUM. Not at the moment. The privacy laws are the 
biggest concern about using it right now.
    Mr. MEUSER. Great. Thank you, gentlemen, very, very much.
    Chairman, I yield back.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Dr. Morrison from the great state of 
Minnesota for 5 minutes.
    Ms. MORRISON. Thank you very much, Chairman Williams and 
Ranking Member Velazquez, for holding this hearing. And thanks 
so much to the witnesses for being here today.
    Over the past years, we have been talking about this all 
morning, we have seen rapid developments in the field of AI. AI 
tools of all kinds are readily available and some have the 
potential to support entrepreneurs. But I do worry that as tech 
giants race ahead to push out their next AI model, there is 
insufficient attention on the actual utility of this technology 
to our small business owners and, frankly, to the American 
people.
    Too often AI development narrowly focuses on finding out 
what AI is capable of, rather than answering the question how 
can this technology be used to improve people's lives? Now we 
find ourselves in a situation where many people are asking who 
even wanted this and will this technology help me or will it 
actually hurt me or maybe even kill me?
    Mr. Aguh, in your testimony, you highlight that technology 
moves at the speed of innovation, but adoption moves at the 
speed of trust, and that trust has not yet been earned. I think 
this is a really important part of this whole conversation. You 
go on to highlight that this lack of trust is reflected by the 
majority of Americans feeling that AI's risks outweigh its 
benefits and the slow adoption of generative AI by American 
small businesses. You know, Rep. Tran touched on AI literacy.
    Mr. Aguh, can you share steps that tech companies could 
take to build America's trust in AI?
    Mr. AGUH. First of all, thank you so much for the question. 
I think this is a really important point.
    I think I go back to a point that has been made, I think 
repeatedly, which is one thing that creates trust is beyond any 
company, but it is having a national set of frameworks around 
what are our rules of the road around AI, from security to 
privacy to bias to civil rights. Having a single set of rules 
that we all know, understand, agree upon, and can trust it.
    I think secondly, having more collaborations between the 
public and the private sector like these companies to solve 
really large issues, again around things like--some examples 
here are things like the Claude Corps, basically Claude 
Anthropic working with nonprofits to teach them how to use 
these tools for the betterment of the work that they do in 
their communities. Small example, but a good one, and we would 
love to see more there in that vein.
    I think lastly, helping small businesses pick the tools 
that are right for them, even if those tools are not their 
tools, I think that is really important. Consumers and small 
business leaders having those choices is so important. I think 
right now you have to make sure--it is tempting to believe that 
everything is a nail and that is amenable to the AI hammer or a 
particular AI hammer. And helping these small business leaders 
pick the exact hammer for the exact right nail is so important. 
It might be Claude, it might be ChatGPT, it might be a 
Midjourney, it might be a Notion. But how do we basically 
figure out what those tools are and putting that agency in the 
hands of small business leaders I think is really key.
    The last point, small business leaders also reflect the 
feelings of their workers. So the more that workers become more 
comfortable, again are involved in these decisions, figuring 
out how it can benefit the business, the better off their 
employers are going to be and more trusting their employees 
will be with these companies.
    Ms. MORRISON. Thank you so much. And I am sympathetic to 
this idea that if we have a patchwork of state regulations 
across the country, that creates all kinds of complications. 
Could any of you give two specific examples of what a federal 
framework would look like for regulating AI?
    Mr. CRENSHAW. One of the notes I think important to note, 
68 percent of small businesses in Minnesota are worried about a 
patchwork. And one of the solutions can come out of Minnesota 
is copying Minnesota's data privacy law and making it the 
national standard. And so that is a----
    Ms. MORRISON. Love that answer. Sorry to interrupt.
    Mr. AGUH. I would say one piece that is not talked about 
enough is intellectual property, meaning when a lot of 
intellectual property was created, back when it was, this use 
was never thought of, never considered. So whether I am 
Universal Music Group, who regulates, you know, 30--has 30 
percent of the world's music, or, candidly, I am a bluegrass 
artist from Kentucky, I may never have thought of what happens 
if my music used by this. And we need a framework to govern how 
I say it can be licensed, how I am compensated, how I want to 
be compensated, and by whom. Right now, we just don't have a 
framework for this because back then we didn't think that this 
would be possible. So that is one example of an issue that is 
under talked about that is really, really key and a big trust 
issue.
    Ms. MORRISON. Thank you. I am running out of time, but one 
quick last question. You know, before I ran for Congress, I 
worked as an OB/GYN for many years. So as you might imagine, 
patient confidentiality is critically important. And one of the 
pieces of AI regulation that I think is crucial is that data 
privacy question. And I think it is something that people are 
worried about, too. And I know small business owners also have 
concerns about it. How can we protect patient privacy?
    Mr. Aguh, do you have any thoughts on it?
    Mr. AGUH. I know I am over time, so I am looking at the 
Chairman to----
    Chairman WILLIAMS. I will give you a little extra time.
    Mr. AGUH. Sure. I think, candidly, we already have a lot of 
health privacy laws, and I think the question is how do they 
intersect with this new technology? And so I think that is the 
question. How do we take existing relations and expand it to 
this new technology? And I will stop there out of respect to 
the Chairman.
    Ms. MORRISON. Thank you.
    And thank you, Mr. Chair. I yield back.
    Chairman WILLIAMS. The gentlelady yields back.
    I now recognize Mr. Bresnahan from great state of 
Pennsylvania for 5 minutes.
    Mr. BRESNAHAN. Thank you, Mr. Chairman, Ranking Member, and 
to all the witnesses for being here today.
    Over the past few years, artificial intelligence has become 
a part of nearly every corner of our economy. And small 
businesses have increasingly embraced these tools to help them 
compete and to grow. Whether it is summarizing research, 
analyzing data, streamlining customer service, or organizing 
documents, AI has allowed small business owners to compete in 
minutes, which used to take hours or even days. But there is no 
question these technologies can make businesses more efficient. 
But we continue to adopt AI, we also have to make sure that 
those gains don't come at the expense of American jobs. We need 
to make sure employees have the training and skills to use 
these tools efficiently and AI enhances the work rather than 
replacing it.
    So I am going to--my first question for Mr. Qaiyum. 
Congratulations to you and your family and everyone at Merz 
Apothecary on celebrating 150 years of service to your 
community. My question would be, at what point did you decide 
to take the initiative to start looking at different AI 
implementation?
    And something that I hear from a lot of small businesses 
and coming from a small business background was sometimes, you 
know, the local plumber, heating contractor doesn't even know 
where to begin. So at what point for you in your business did 
you decide that, hey, in order for us to scale, in order for us 
to grow, we need to be thinking outside the box and finding 
ways to implement some sort of AI technology?
    Mr. QAIYUM. Thank you for the question, Congressman, and 
for your congratulations.
    You know, I came to the retail and small business, this 
industry, through the dot-com rise in the '90s. So I have 
always been into technology and so I may be a bit rare in that 
sense that I view it as my--as part of my role in the business 
has always been to stay ahead of the technology curve. So I 
have been following it for a few years now at least, and I have 
been the person testing it out on the weekends and at nights to 
see what it could do, and then bringing it to the team and 
saying, look at this. So I feel like for me, I happen to be 
personally interested in it, but I know that that is not most 
of my small business friends, the other business owners on the 
block. So I think, you know, we do need support in that sense.
    Mr. BRESNAHAN. So you have been around for 150 years. What 
generation are you in the business?
    Mr. QAIYUM. I am the fifth owner in the second family to 
own the business, so.
    Mr. BRESNAHAN. Wow. So what was the first piece of 
technology that you implemented that was in the ecosystem of 
AI? Was it just utilizing language models to respond to 
inquiries or to summarize research? What was like that initial 
barrier that you overcame?
    Mr. QAIYUM. Yeah. You know, we used some early language 
models around coming up with variations, like we would write 
marketing copy and then come up with 10, 15, 20 variations on 
that. And that was many years ago, but I would say ChatGPT in 
the past few years was the first model that I started using 
kind of, you know, as an experiment on my own.
    Mr. BRESNAHAN. My last question would be, and then before I 
divert over, have you actually needed to bring anyone on that 
had experience in managing AI models or has that been something 
that you have been able to sustain with inside of your 
operations?
    Mr. QAIYUM. So far we have sustained inside of our 
operations. And, you know, the models are getting to the point 
where when we don't know something, they can kind of often 
guide us on how to do it. So I call us sort of like, you know, 
pseudo techies in a way. But I think we are at the point now 
where we would like to bring someone in who has more experience 
because we see so much opportunity ahead.
    Mr. BRESNAHAN. I think that is what we need to be 
curtailing some of our educational opportunities and teaching 
the next generation of workforce how to work with inside of 
these parameters. But also being very conscientious of we are 
not looking to replace jobs. We are looking to add jobs, 
specifically to the skill set relating around artificial 
intelligence. And I think when you say AI, it is a very broad 
spectrum of innovation that could be implemented.
    So I am going to pivot over to Mr. Hoang. What are the 
biggest challenges you see small businesses facing when they 
begin implementing AI? And what kind of advice could I take 
back to some of my small businesses that are right on the cusp 
of considering to take the leap just to kind of give them some 
assurances and relieve the agita about taking that initial 
plunge?
    Mr. HOANG. Thank you for the question. I will try to be 
brief. The main two challenges are, first, just where to get 
started. What are the use cases? AI can do so much, so what is 
the first thing? And I always advise businesses to start with 
the problem that is most important at hand. What is the thing 
that bothers them day to day? That is where to get started.
    The second is AI is only as good as the information you put 
into it, the context. A lot of businesses are fearful of 
putting their proprietary data in. That is unfortunate because 
that is how you get the best results from AI. And so the advice 
I would suggest you take back is get started and find a 
platform where you feel the privacy and security allow you to 
use your data.
    Mr. BRESNAHAN. Thank you. Garbage in, garbage out. I yield.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Ms. Scholten from the great state of 
Michigan for 5 minutes.
    Ms. SCHOLTEN. Thank you, Mr. Chair and Madam Ranking 
Member. Thank you to our witnesses today.
    Our small businesses juggle a wide range of 
responsibilities and tasks every day to keep their operations 
running. While AI offers tools to help streamline many of these 
needs, we know that many entrepreneurs simply don't have the 
time or resources to utilize this technology to its fullest. 
That is why I was so proud to introduce my bill, the AI-WISE 
Act, which directs the Small Business Administration to create 
learning modules for small businesses to help them navigate 
this emerging technology. I am pleased that my bill passed the 
House earlier this year. We are, of course, hoping to have it 
signed into law.
    Mr. Aguh, how would an SBA resource to help entrepreneurs 
think about AI usage more effectively, how would that benefit 
small business businesses?
    Mr. AGUH. It will benefit hugely. One, because, again, we 
talk about kind of the promise and the peril. You have heard, I 
think, from a number of the witnesses, you need certain tools 
and means to actually capture that promise. And the first thing 
is knowledge. So knowing, again, where I can apply this most in 
my business. Should I apply it toward my inventory issue? 
Should I apply it toward my back office? Should I apply it to 
my marketing first? Getting guidance on where to start with 
that I think is really helpful, one.
    I think, two, small businesses are unclear. Okay. How do I 
introduce this with my workers? That is a hard part of this, 
particularly when you are in a small business, because there is 
fear, there is lack of knowledge, there is uncertainty. What 
does that changed management look like?
    And then I think the third piece is how do I monitor these 
tools over time? The ubiquity of these tools, the amount of 
these tools is only useful to the extent that I know enough to 
switch when I need to. Therefore, what am I doing to monitor 
these tools over time to make sure, hey, you know, what 
actually is ChatGPT here versus Claude? Or I need to use a 
Perplexity here versus another tool or there actually isn't a 
gap. Right? There is a gap right now in terms of the market for 
what I need.
    I think those are three specific areas, where to apply, how 
to do changed management, how to monitor over time, where a 
resource like this could be really, really valuable.
    Ms. SCHOLTEN. Yep. Yep. West Michigan is home to our 
regional Small Business Development Center, SBDC, which served 
over 500 clients last year and spurred $10.4 million in capital 
formation. These centers are foundational to the success of our 
local economies. And on a national level, America's SBDCs 
partnered with Google AIU to facilitate training SBDC staff 
across the country to assist clients with using AI in their 
operations. Not sure if you are familiar with that. Michigan 
now has the second highest number of staff trained in AI 
literacy in the country. We are super proud.
    Mr. Aguh, again, how important is it that SBDCs receive 
full federal funding and support these kinds of activities? And 
I will actually open it up to the whole panel. I saw some heads 
nodding. You know, feel free to weigh in on usage there.
    Mr. AGUH. I cannot overstate how important the resource and 
not just the funds, but also the people.
    Ms. SCHOLTEN. Yeah.
    Mr. AGUH. Because in the end, what we find is most people, 
they want to talk to people about how to use these tools. And 
that does require resources.
    Ms. SCHOLTEN. Additions, additional comments or thoughts on 
that?
    Mr. QAIYUM. I would echo that. I think with our team 
oftentimes it is not enough to just keep hearing how good it is 
or watch this video. I think it is having some structured 
format and people who demystify it and provide a doorway in. 
And my experience is that once you give someone that doorway, 
then they can actually go really far.
    Ms. SCHOLTEN. Yep. In my remaining time, I want to talk 
about a different bill of mine, the SBA AI Adoption and 
Reporting Act. It is really important for small businesses to 
have the tools they need, right, to use AI effectively. But the 
federal government also has the opportunity to utilize AI for 
its own purposes and its own operation. The SBA is no 
exception. From evaluating contracting bids to improving 
research and programming, the government can take steps to 
ensure AI is working for main street in every single way from 
within the administration itself. That is why I introduced the 
SBA AI Adoption and Reporting Act, which would direct the SBA 
to implement AI use disclosure policies and procedures as 
required by law and recommended by the Government 
Accountability Office.
    How could this help address small businesses' concerns 
about the government's use of AI? Those people who might say I 
was weeded out because I didn't fit the algorithm, you know, or 
they have concerns about that. Any reflections from your work? 
I will open it up to the panel again.
    Mr. QAIYUM. Well, our business is the beneficiary of an SBA 
loan--that almost didn't happen at one point because of some of 
the challenges with the banks and everything. I would say that 
my experience would be having transparency and help along the 
way to make that an easier process would have been a huge help 
for our business. And thankfully, it did work out, but I would 
like to see more businesses get that opportunity that we had.
    Ms. SCHOLTEN. Heard. Heard. Thank you. Thank you.
    Well, thank you again, gentlemen, for coming, for your 
time, and, most importantly, for your incredible work in small 
businesses across the country. Thank you.
    I yield back.
    Chairman WILLIAMS. The gentlelady yields back.
    I now recognize Mr. Jack from the great state of Georgia 
for 5 minutes.
    Mr. JACK. Thank you very much, Mr. Chairman.
    And I would like to begin my line of question by 
recognizing someone in the audience with us. Alex Mealer is in 
the audience with us from Houston, Texas, the great state of 
Texas. So I am delighted that she had a chance to get to see 
how Committee processes work.
    And I would like to start my first line of questioning with 
Mr. Qaiyum. And, you know, a question I have for you, and it is 
something that I hear a lot within my district, is there is a 
natural fear that AI could replace workers and especially 
within entry level roles. And I am just curious, in your own 
experience, has AI replaced people or has it helped you bring 
more people in? What is your perspective?
    Mr. QAIYUM. Thank you, Congressman. In our experience, AI 
has helped us bring more people in. It has created more 
opportunity. So I look--you know, AI right now is this new, 
exciting, potential big advantage for small business. But 
ultimately, it will be software and it will become a commodity. 
And I think humans are the durable advantage that you have. So 
to us, we look at it as a way to--or as a method and a set of 
tools to help us increase our capacity and then bring more 
people on. And when we are serving our customers better and in 
a specialty business knowledge--we speak, I think, 10 languages 
on our staff, and have experts across various fields, including 
pharmacists, makeup artists, certified herbalists, you name 
it--so that is not going to be replaced. People like to talk to 
people. So we see it as a creative opportunity.
    Mr. JACK. Thank you very much.
    Mr. Hoang, the same question to you.
    Mr. HOANG. Yes, if you are a small business of one to five 
employees, there is not many people to replace. Right? AI 
actually enables you to grow your business faster and employ 
more people.
    I would also like to note there is this interesting concept 
called the Jevons paradox. What it says is if you look at a 
broad enough time horizon and you look across enough 
industries, technology ends up creating more jobs over time 
than it replaces. Technology will replace jobs. But as we saw 
past technological revolutions, right, new jobs emerge.
    I have an 11-, 8-, and a 6-year-old. I think I heard the 
statistic that 66 percent of the jobs that a 10-year-old is 
going to have don't even exist yet.
    Mr. JACK. Thank you very much.
    Mr. Crenshaw, I would like to speak specifically about an 
initiative, specifically President Trump's SBA in collaboration 
with Perplexity AI recently launched, as you may be aware, the 
main street AI accelerator, which offers computing credits to 
small businesses that hold SBA-backed loans. Do you believe 
that a program like that is the right model when approaching 
the AI gap? And what would make assistance in this capacity 
most useful to owners who need it most?
    Mr. CRENSHAW. I think it is incredibly important that there 
is AI training and AI accelerators. So I think this is an 
opportunity where small businesses can grow.
    And I think--and I want to really kind of echo the points 
of some of the other panelists is that, you know, as we look at 
AI, AI is doing much like what we saw at the turn of the 20th 
century. With the turn of the 20th century, technology brought 
about an industrial revolution. Well, now we are seeing 
technology create an entrepreneurship revolution where small 
businesses and small companies can get off the ground and run 
and grow. And 82 percent of small businesses and Georgia grew 
their workforce, the ones who are using artificial 
intelligence.
    This is confirmed in many ways, too. We have seen some 
great studies as well by Ramp, came out recently, that showed 
that the more companies are investing in artificial 
intelligence, they are growing their headcount at faster rates.
    And then finally, I think it is really important to note, 
too, that the Federal Reserve has put out really great data 
over the last few years. And as you see, the number of small 
business applications over the last few days decades, it was 
pretty stagnant up until about 2020. That number skyrocketed 
after 2020. Many thought that that was in large part due to 
COVID and people kind of starting out on their own. But those 
numbers have continued to go up post introduction of ChatGPT 
and generative artificial Intelligence. And that has been a 
sustained increase in new business starts.
    And so when you look at all of that, I think we are 
optimistic about the impact of AI, but it is important that we 
also have training and accelerators for small businesses to 
ensure they reap the full benefits.
    Mr. JACK. Wonderful. In our closing 40 seconds, you 
mentioned Georgia. Both my colleague Clay Fuller and I 
represent districts that in some places need broadband access. 
Could you speak to how imperative it is that we are able to 
ensure that all of our constituents across the country have 
access to broadband internet that enables them to potentially 
enjoy some of these resources?
    Mr. CRENSHAW. Broadband is essential to operating in the 
21st century economy. A small business cannot compete without 
access to connectivity and to data.
    Mr. JACK. Wonderful.
    Mr. Chairman, I appreciate you convening this hearing, and 
I yield back.
    Chairman WILLIAMS. The gentleman yields back.
    I now recognize Ranking Member Velazquez from the great 
state of New York for her 5 minutes.
    Ms. VELAZQUEZ. Thank you, Mr. Chairman. And thank you to 
all the witnesses for being here. And I am sorry I wasn't when 
you were making your statements because I was participating in 
another hearing on financial services.
    Mr. Aguh, I concur that transparency in AI and information 
on AI is crucial. And for Members of this Committee and other 
committees of jurisdiction regarding AI policy, accurate data 
is important in order for us to make effective AI policy. 
Estimates for small business AI adoption rates vary widely. The 
SBA's Office of Advocacy estimates the rate is 8.8 percent, but 
the U.S. Chamber estimates that it is at 58 percent, a nearly 
50 point gap. Why does this difference exist?
    Mr. AGUH. Well, probably a long answer, but, candidly, it 
depends on how you define adoption. Is adoption an employee who 
uses ChatGPT to answer a question once or twice a day or is it 
kind of working truly side by side with a number of AI tools to 
do your work? That is a wide definition.
    What I would say is when I think about the 200 businesses 
that we support, or even ask any CEO in the private sector 
currently, no one will say that AI adoption is where they want 
it to be. All of them would say that their workforces are not 
where they want to be to get the full value for their business 
and for their community.
    And so the question is, how do we increase that adoption? 
And I think that goes to the trust questions, that goes to the 
infrastructure questions, goes to the literacy questions. But I 
think right now it depends on how you define adoption. But if 
you were to ask a CEO what do they want from adoption? They 
want--I want my people using AI to do the things that people 
shouldn't be doing and so they can do the things that only 
people can do so that our business grows, we make more revenue, 
and we help our communities and grow jobs.
    Ms. VELAZQUEZ. Thank you. And bias and discriminatory 
decision-making are major AI risks. How can this harm small 
firms and incur legal and reputational costs?
    Mr. AGUH. I will use a very specific example. This actually 
comes from my time when I was serving federally. But we would 
hear from small businesses who were using AI-driven resume and 
hiring tools to comb resumes, to begin to kind of sift out 
people for that first round. And what they began to find, this 
particularly became an issue during the pandemic, was at times 
people who could do the job were unintentionally screened out, 
which, of course, for the business created a problem of there 
is an empty billet of someone who could have done a job and now 
that job is not being done. That is one very specific example 
where not only do we--does that type of bias offend our values, 
but it also goes against kind of common sense, the interest of 
the business.
    So the key is how do we make sure that we mitigate bias not 
just for our values, but for the sake of the business who's 
actually trying to get the benefit? It is the right thing to 
do, but it is also the smart thing to do.
    Ms. VELAZQUEZ. So can training data be adjusted to reduce 
bias?
    Mr. AGUH. The answer is yes. But the important thing is 
that that is not on the small business. It can't be.
    Ms. VELAZQUEZ. Yeah.
    Mr. AGUH. They are not making the tool. This goes to, I 
think, the largest folks who are making these tools and the key 
thing that I would say is it is in their interest to do such. 
If I am a small business and I am creating a tool, I want it to 
reflect my community so I can serve my customers better. Tools 
that don't do that are not going to help me serve my customers.
    So if I am a provider, an LLM provider, Hyperscale is 
trying to create a tool, you want to help your customers help 
their customers, and having representative data that actually 
reflects reality and the outcomes that it produces is best for 
everyone.
    Ms. VELAZQUEZ. Thank you. Mr. Hoang, you write in your 
testing testimony the principle behind the AI-WISE Act, that 
federal support should remain neutral among specific tools and 
vendors, is exactly right. Why? What are the consequences if 
the SBA and other agencies favor certain vendors over others?
    Mr. HOANG. Thank you, Ranking Member, for the question. We 
are in the very early days of AI. It is too soon to start 
picking winners and not winners.
    In our own work with hundreds of organizations, we see that 
different tools are right for different purposes and that 
organizations that succeed don't just rely on one single AI 
tool. They use different tools, they combine them, they bring 
humans. I truly believe the future of work and teaching and 
learning are multiple AIs and multiple people working together 
in a collaborative environment.
    Ms. VELAZQUEZ. Thank you.
    Thank you, Mr. Chairman. I yield back.
    Chairman WILLIAMS. The gentlelady yields back.
    And I would like to thank our witnesses for their testimony 
today and for appearing before us. It has been great dialogue.
    Without objection, Members have 5 legislative days to 
submit additional materials and written questions for the 
witnesses to the Chair, which will be forwarded to the 
witnesses. I ask the witnesses to please respond promptly.
    And if there is no further business, without objection, the 
Committee is now adjourned.
    [Whereupon, at 11:56 a.m., the committee was adjourned.]
                           
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