AI Companies Pay the Most for These Industries' Data in 2026 (Ranked)
AI companies pay most for data from these industries
Which industries' data do AI companies pay the most for in 2026, and is yours one of them?
I ranked 15 industries by what AI companies pay for their data, from the top to the bottom, and number 1 may surprise you, so let me start with what most owners guess.
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Full script
Which industries' data do AI companies pay the most for in 2026, and is yours one of them?
I ranked 15 industries by what AI companies pay for their data, from the top to the bottom, and number 1 may surprise you, so let me start with what most owners guess.
Ask an owner which industry's data AI companies pay the most for, and many will guess software or finance.
In this ranking, software is only number 11 and finance is number 5, while number 1 is an industry that does not often make the news.
Before I show you the full list, let me tell you who I am.
I'm Jimmy. I have worked in data at Fortune 500 companies, as a data analyst, a data engineer and a software engineer, and I am trained in data science. I am also a Canadian military veteran, where I specialized in data analysis and reporting.
Are you selling your data? We are your broker and technical advisor. We get you the best price, and we guide your team through the technical side, so your data stays private.
Are you buying data for an AI lab? We find the right data for you and see it through to delivery, so you can focus on advancing AI research.
How did I rank them? I looked at what AI companies are paying for in 2026, and I scored each industry on 3 things.
First, how much AI companies pay for that industry's data, second, how many of them ask for it, and third, how hard that data is to find.
I will not name the AI companies or quote their prices, because that is private, but the order comes straight from what they pay for and ask for, industry by industry.
Starting at the top, number 1 is construction, and it is not close. AI companies want the data from whole projects, from the bid and the drawings to the questions sent to the architect, the change orders, the daily logs and the final punch list.
Very few contractors keep all of that together in one place, so a construction company that has kept that data for years has exactly what AI companies are looking for.
In second place are law firms, and that matches what Business Insider reported in October 2026, when it found law data in especially high demand.
What AI companies want is the complete file from a closed matter or a finished deal, which means the drafts, the research, the contracts and the back and forth that led to the result.
The catch is privacy, because client files must be fully de-identified, or have the client's consent, before anything is shared.
Third is manufacturing, and this is where some of the largest data deals on the whole list show up.
AI companies want to see how a part goes from a quote to the shop floor, so they ask for work orders, inspection reports, machine programs and the parts that failed, and why.
Several years of that data, kept in the same systems, is hard for AI companies to find anywhere else.
Now let us move faster through numbers 4 to 6. Number 4 is chip and hardware design, which most owners never think of, because AI labs are asking for circuit-board and CAD files with every revision kept, and very few companies can supply them.
Number 5 is finance, which means investment firms, banks and payment companies, and the demand for its data is strong, but the legal checks take longer.
And number 6 is accounting and tax, which that Business Insider report also named, and AI companies want the returns together with the workpapers behind them, but more firms can offer that data, so it ranks below law.
Next come numbers 7 to 10. At number 7 is architecture and engineering, where the drawings and the reasons each design changed are the valuable part.
Number 8 is healthcare, and the demand for its data is real, but under strict privacy rules, we de-identify every patient detail before any AI company sees the data.
Number 9 is video game studios, where demand for their data jumped in recent months, and number 10 is logistics and freight, because every late shipment and the emails that fixed it show how the work really gets done.
The data from the rest of the list is still in demand, just less so. Numbers 11 to 15 are software and SaaS, biotech labs, consulting, home services and the trades, and insurance.
On the other hand, AI companies ask less often right now for data from marketing agencies, staffing and recruiting firms and companies with only a few people at desks, although unusual data can still get an offer.
Whatever your industry, 4 things move your company up this list.
AI companies look for 30 or more people working at desks, at least 5 years in the same systems, whole jobs kept together from the first request to the result, and data that your company owns outright.
A company with all 4 can draw offers for its data, even from an industry lower on the list.
So how do you turn a spot on this list into an actual license? That is my job, as your broker and technical advisor.
As your broker, I take your data to several AI companies and AI labs so they compete for it, and I work through the terms with you, while you make the final call.
As your technical advisor, I guide your team through the export, and we de-identify your data before any AI company sees it, and because it is a license, not a sale, you keep your data and keep using it.
Nothing moves until your team signs off, and you do not pay anything, because AI companies pay my fee once the license is signed.
Where does your industry sit on this list, and what could your company's data be worth to an AI company? There is one way to find out.
If you run a company with 30 or more people, the data you already have could become a new revenue stream. You can find out if yours qualifies, for free, at AITrainingDataBroker.com.
If you have further questions, leave them in the comments, and I will answer them in the next video.
Thank you for watching, and I will see you next time.