Which Company Data Do AI Companies Pay the Most For?
AITrainingDataBroker.com
Which company data
do AI companies
pay the most for?
Why scarce records earn more, where AI is still weak, and a quick test for your own records.
Jimmy Lin
Which company data do AI companies pay the most for?
Hello, everyone. AI companies pay for company data. But they do not pay the same for every record.
Some records are common, so they are worth little. Others are scarce, and those are worth the most.
By the end, you will know which team in your company holds the scarce kind. It is probably not the one you think.
So let us start with a number that surprised me.
The video
Full script
Hello, everyone. AI companies pay for company data. But they do not pay the same for every record.
Some records are common, so they are worth little. Others are scarce, and those are worth the most.
By the end, you will know which team in your company holds the scarce kind. It is probably not the one you think.
So let us start with a number that surprised me.
Researchers at Carnegie Mellon and Stanford studied 43 sets of tests for AI agents. An AI agent is AI that does tasks, not just answers questions.
Those tests hold more than 72,000 tasks. Almost all of them are about computer work, like writing code.
But computer and math jobs are only 7.6% of US jobs. So AI gets tested mostly on a small slice of the work people do.
Why does that matter for your company? Before I explain, a quick word about me.
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.
So, let us start with how the price works. It is plain supply and demand.
AI companies already have plenty of code, and plenty of public web pages. One more file of that kind adds very little.
What they lack are records of work that AI has not practiced yet. That is where they pay more, because few others can sell it to them.
So where are those gaps? The same study shows us.
Look at these 3 job areas. Most of their work is done on a computer. For managers, it is 88%.
So AI could help with that work. Yet managers' work is only 1.4% of the tasks in those tests. Architecture and engineering get 0.7%, and legal work gets 0.3%.
That is the gap: lots of computer work, and almost no practice for AI.
But it is not only managers and engineers.
Think about the work your office does every day. Scheduling and dispatch. Quotes and order entry. Billing and collections.
Then there are sales follow-ups, project reviews, and choices about vendors and buying.
In the US, office and admin work alone is about 18.5 million jobs. Yet AI tests mostly skip this kind of work.
So, remember the team I promised to name? Often, the scarce records are not with your experts. They are with your office staff.
Now, what does a scarce record look like? Say you run a parts distributor with 60 people.
A customer emails a rush order. The part is short, so your rep offers a swap and calls them. Then the manager approves extra credit. The order ships, and the bill is paid in 30 days.
No public website shows that chain of choices. But your email, your order system and your notes do. With the outcome at the end, that is the scarce kind.
And it is a license, so you keep your data. Before anything leaves, names and personal details come out, and the contract says how. On your side, the main job is the export, and we guide your team through it.
How can you tell if your own records are scarce? Run a quick check called the search test.
First, pick 1 task your office does every week. For example, how you price a rush job.
Then search online for how a company like yours does it.
If you can not find it, and the answer lives only in your email and your systems, that is scarce work. AI has not practiced it much, and that is what AI companies pay for.
Try it on 3 or 4 tasks, and you will see where your value is.
And finding the scarce part is my job. I am your broker and technical advisor.
As your broker, I find what is scarce in your records and put it in front of buyers, so you get competing offers and a better price. Then I work through the terms with you, and you make the final call.
As your technical advisor, I guide your team through the export, the format, and how names come out.
Nothing moves until your team signs off, and the terms are worked out case by case. As for my fee, I am paid from a closed deal, never before.
So, AI companies pay the most for work AI has not practiced yet. And often, that work is in your office, not on your experts' desks.
If you run a company with 30 or more people, licensing the records you already have could become a new revenue stream, and you keep your data. Find out if yours qualifies, free, at AITrainingDataBroker.com.
Thank you for watching. See you in the next one.
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