Got a 48-Hour Offer for Your Company's Data? Watch This Before You Sign
AITrainingDataBroker.com
Got a 48-hour offer
for your data?
Before you sign
Why the clock is there, what is inside the number, and what to do in the 48 hours.
Jimmy Lin
Got a 48-hour offer for your data? Before you sign
Hello, everyone. Picture an email that lands on a Tuesday morning: an AI company wants to license your company's data, the number looks good, and the offer is only open for 48 hours.
Most owners feel 2 things at once, excitement about the money and pressure to say yes before it disappears.
In this video, I will show you why the clock is there, what is really inside the number, and what you can do in those 48 hours, starting with a story from medicine that is much older than AI.
The video
Full script
Hello, everyone. Picture an email that lands on a Tuesday morning: an AI company wants to license your company's data, the number looks good, and the offer is only open for 48 hours.
Most owners feel 2 things at once, excitement about the money and pressure to say yes before it disappears.
In this video, I will show you why the clock is there, what is really inside the number, and what you can do in those 48 hours, starting with a story from medicine that is much older than AI.
The story starts in the 1940s, when American hospitals were competing for the same small group of medical students, so they made their offers earlier and earlier, with shorter and shorter deadlines.
In 1946 they agreed to keep offers open for 8 days, but by 1949 many offers had to be accepted on the spot, before a student knew what else was coming.
The fix, in 1952, was a national Match where every offer is seen side by side, and the economist who later improved it shared a Nobel prize.
So the lesson for your data is simple: a short deadline is mostly there to stop you from comparing. Before we look at your offer, 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.
So why would an AI company put a clock on your data? Usually for 2 reasons: a short deadline keeps you from comparing offers, and it locks in the deal before other AI companies have a chance to bid.
To be fair, sometimes the deadline is real, because a project or a budget closes at the end of the month, and that is fine.
Either way, you can simply ask why the deadline exists and whether a few more days would change anything, and a serious AI company will answer that question.
Why does comparing matter so much? 2 economists, Bulow and Klemperer, studied this in 1996 and found that adding just 1 more bidder usually earns a seller more than the best negotiating skill in the world.
In other words, the strongest move is not a clever reply to the first offer, because the strongest move is a second offer.
Of course, an offer is not only a price, so let us look at what is inside the number.
Take a big public example: when OpenAI and News Corp signed a deal in 2024, the Wall Street Journal reported it could be worth more than $250 million over 5 years, but part of that value was credits for OpenAI's own technology, not cash.
An offer for a company like yours will be much smaller, but the lesson is the same, because the headline number can hide what you really get.
So compare offers on 6 things: how much is cash, when you are paid, which data they want, what they may use it for, how long any exclusivity lasts, and who de-identifies your data and how.
Most of these terms are worked out case by case, so 2 offers with the same number can be very different deals.
Now, here is what you can do inside those 48 hours. First, reply that you are interested and need a little more time, because a polite request for a week does not end a real offer.
Next, ask why the deadline exists, and write down exactly which data they want and what they plan to do with it.
Then, get at least one second offer for the same data, so you have something to compare, and finally, decide with your team, not alone at your desk on a Thursday night.
Remember, an offer like this only arrives because your data is worth something to AI companies, and that usually means the written trail of how your team gets work done.
That can be email and chat where decisions are made, tickets that show how each problem was fixed, notes on why deals were won or lost, and project files from start to finish.
What makes it worth more is years of it on the same tools, from a team of 30 or more people who work at their desks, and if you have that, more than one AI company will want it, which is exactly why the first offer is not often the best one.
This is exactly the job I do, as your broker and technical advisor.
As your broker, I bring your data to several AI companies and AI labs at the same time, so you get competing offers instead of one deadline, and then I work through the terms with you, and you make the final call.
As your technical advisor, I guide your team through the technical side, from what to export and in what format to how your data is de-identified and delivered.
Nothing moves until your team signs off, the terms are worked out case by case, and I am paid only from the deal you choose to sign.
So, if an offer for your company's data lands with a 48-hour clock, take a breath, ask why, and get a second offer before you sign anything.
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 there.
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