How to become a data broker for AI companies

By Cody Houser, Founder · Last updated October 24, 2026

The short answer: decide which kind of data broker you mean. Consumer data brokers sell personal information about people and must register in states such as Vermont, California, Texas, and Oregon. An AI data broker works business to business, introducing established companies to buyers who license their operational records. You build a network of owners, qualify companies, and earn a commission when a deal closes.

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Two jobs share the name “data broker”

Most search results for “how to become a data broker” describe the consumer kind. California’s privacy agency defines a data broker as “a business that collects personal information about consumers from various sources and sells that information to other companies, even when the consumer did not interact with the business”. Think people-search sites and marketing list sellers.

An AI data broker, as the term is used here, does something else. AI companies now pay for the internal records of real businesses: email, file storage, internal chat, CRM, and accounting. The broker finds a company that holds those records, explains the opportunity to the owner, and introduces the company to a buyer or a brokerage. The company licenses its own data under an agreement it reviews and approves. The broker never collects, holds, or sells the data.

Role	What changes hands	Who the client is	Registration
Consumer data broker	Personal data about individuals, sold or licensed to third parties	Marketers, people-search users, other data buyers	State registries in Vermont, California, Texas, and Oregon (see below)
AI data licensing broker	A license to a company’s own operational records, granted by the company	The business owner, and the buyer on the other side	Those registries are written around personal data about consumers; confirm your own position with counsel
Business broker or M&A advisor	The business itself, or a stake in it	The owner selling or the buyer acquiring	Varies by state and deal type; ask counsel

The state data broker registration laws

Four states run data broker registries. Each one is aimed at businesses that trade personal data about people they don’t deal with directly:

Vermont. A data broker is a business that “knowingly collects and sells or licenses to third parties the brokered personal information of a consumer with whom the business does not have a direct relationship”. Under the current registration section, brokers register with the Secretary of State by January 31 each year and pay $100. An amended version taking effect January 1, 2027 raises the fee to $900 and adds a $20,000 bond.
California (Delete Act). Data brokers must register with the California Privacy Protection Agency every year between January 1 and 31. The 2026 fee was $6,000 plus a processing fee. Since August 1, 2026, brokers must check the Delete Request and Opt-out Platform (DROP) at least every 45 days and process deletion requests consumers send through it.
Texas. Chapter 510 of the Business and Commerce Code defines a data broker as a business that collects, processes, or transfers personal data it “did not collect directly from the individual”. Brokers register with the Secretary of State for $300, renewed yearly.
Oregon. A data broker may not collect, sell, or license brokered personal data in Oregon until it registers. The Division of Financial Regulation charges $600 a year and has no education, fingerprinting, or background-check requirement.

Every one of these definitions turns on personal data about individuals, such as names, addresses, birth dates, Social Security numbers, and similar details. Introducing a company that licenses its own business records is a different activity, but the line depends on the facts. If your work could touch personal data, talk to a privacy lawyer before you start.

What an AI data broker does day to day

Talks with owners, CFOs, and COOs in your network about what they’re doing with years of old records
Qualifies a company in a short call, using the questions below
Writes up a description of the company and its systems: no files, no credentials, no personal information
Introduces qualified companies to a buyer or a brokerage that works with buyers

The job is closer to business development than data work. You never touch the records, run a migration, or handle personal data.

Why the market exists now

AI agents need examples of how real work gets done. Published deals show companies are paying for that:

In October 2026, AI training company micro1 committed $1 billion over 12 months to buying and licensing operational data from companies, funded by Citi and Hercules Capital. Its program targets companies with more than 30 employees.
Google agreed to pay $10 million for Spirit Airlines’ internal records in the airline’s bankruptcy; the runner-up bid was $7.5 million. See the Spirit Airlines data sale for the details.
Forbes reported that SimpleClosure, which winds down startups, processed nearly 100 deals in a year selling closed startups’ email, Slack, and documents, at $10,000 to $100,000 per company.

Most owners have never heard of this market. That gap is the broker’s opportunity. For more on buyers and deal structure, read how to sell data to AI companies.

How data brokers make money

B2B data brokers are typically paid a commission or finder’s fee when a deal they introduced closes. No close, no fee. Rates aren’t standardized, and we haven’t found a reliable public benchmark for this role, so judge any program by its written terms. Your income depends on two things you partly control: how many qualified companies you introduce, and how complete their records are. Deal size is set by the buyer after evaluation, so you can’t promise it. Published figures are collected in how much company data is worth.

Skills and backgrounds that work

Business brokers and M&A advisors already talk to owners about what their company is worth and how to handle sensitive transactions.
Fractional CFOs, accountants, and lawyers have long client relationships and credibility on permissions and contracts.
Consultants and sales leaders with deep networks in one industry, such as legal, accounting, finance, engineering, architecture, construction, manufacturing, or game development.
Operators who ran a company in a data-rich industry and know its owners.

The common skill is talking about privacy carefully. Expect owners to ask what happens to employee and client information, and answer honestly: that’s settled in the buyer’s agreement, which the owner reviews.

Where to find companies

Your own network of owners, CEOs, CFOs, and COOs
Partners at professional and investment firms, who decide together
Owners preparing to retire; retiring-owner businesses can qualify
Businesses that have closed or are winding down but still hold their records; see what to do with a closing business’s data

Warm introductions beat cold outreach. Owners share sensitive information with people they trust.

How to qualify a company

Ask six questions before you introduce anyone:

Desk and office staff: 50 or more is a strong candidate; 100 or more is better.
History: three or more years operating, five or more preferred.
Systems: does it use all five core systems (email, file storage, internal chat, CRM, and accounting), and since when?
Language: is internal communication mainly in English?
Rights: does the company own its records and have the right to license them? Client-owned, privileged, or contract-restricted material may be off the table.
Decision-maker: who signs off? Talk to the owner or the partners, not a manager three levels down.

The data value checklist explains what good answers look like.

Ethics and conduct

Never quote a price or timeline. Buyers set offers after they evaluate the records, and a broker’s guess becomes the owner’s expectation.
Never handle the data. Your job is the description of the company, not its files.
Do outreach under your own name. Don’t imply you represent a buyer or brokerage you don’t.
Follow outreach law. CAN-SPAM covers commercial email and “makes no exception for business-to-business email”. It requires accurate headers, honest subject lines, a physical postal address, and a working opt-out honored within 10 business days. Get consent wherever the law requires it.
Don’t oversell permissions. Never suggest client-owned or privileged data can be licensed; that’s for the owner’s counsel and the buyer’s agreement to settle.

How to start

You don’t need your own buyer relationships. Partnering with a brokerage lets you focus on introductions while it handles the assessment and buyer coordination. Hyperdrive Data runs a broker program: you introduce established companies, and you earn a commission on deals that close. We share the terms with applicants.

Questions people ask

What is a data broker’s salary?

There’s no standard salary for an independent AI data broker, and we don’t know of a reliable public salary survey for the role. Independent brokers are typically paid a commission or finder’s fee when a deal they introduced closes, so income depends on how many qualified companies you introduce and how many deals close. Staff at consumer data broker companies are paid like employees at any other company.

Is being a data broker legal?

Yes, but consumer data brokers are regulated. Vermont, California, Texas, and Oregon require businesses that sell personal data about people they don’t have a direct relationship with to register with the state, and California lets residents send one deletion request to all registered brokers. B2B introduction work is a different activity, but outreach laws such as CAN-SPAM still apply. Ask a lawyer about your specific setup.

Do I need a license to be a data broker?

The four state laws covered here require registration, not a professional license, and they apply to businesses that collect and sell personal data about consumers. Oregon, for example, has no education, exam, or background-check requirement. Whether any rule applies to your work depends on what you do and where, so confirm with counsel.

Can I be a data broker part time?

Yes. B2B introduction work is relationship-driven and paid per closed deal, so many people do it alongside an existing advisory, consulting, or sales role. What matters is the quality of the companies you introduce, not hours logged.

How do AI data brokers find companies?

Mostly through existing relationships: owners, CFOs, and COOs they already know, an industry they’ve worked in, and advisory work such as M&A or restructuring. Businesses that are closing or whose owners are retiring are also good candidates, since their records still have value after operations stop.

Sources

This guide is general information, not legal, tax, or financial advice. Review any proposed agreement with your own advisers.

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