
Public ledger · append only
Data Credits>Carbon Credits
Carbon credits failed at the one thing data credits are naturally good at. A file has a hash, a training run is a logged event, and a public ledger turns "nobody is checking" into a receipt anyone can read.

Data Credits > Carbon Credits
They tell you the service is free.
In 2021 Apple added one switch, asking people whether they wanted to be tracked. Meta told investors it would cost them $10 billion the following year. One data source, one platform, one company, one year.
That is the price of the thing you were handed for free. It is also the only honest number anyone has ever published about it, and it exists only because a competitor forced it out.
The fines are a line item
Meta has paid $5 billion to the FTC over Cambridge Analytica and €1.2 billion for the largest GDPR fine ever issued. Its business is bigger now than before either.
Cost of doing businessMeta
- FTC settlement · Cambridge Analytica$5,000,000,000
- GDPR fine · largest ever issued€1,200,000,000
- Business afterwardsbigger than before
Budgeted
A penalty you can budget for is not a penalty. It is a price. Twenty years of regulation has produced a cost of doing business and a consent banner, and the money still runs one way. The person who generated the data gets a free service. The company that collected it gets the hundreds of billions.
And nobody is checking
The problem is not that the rules are too weak. It is that nobody verifies anything.
You make an account. You accept something. What happens to what you do next, who it is sold to, which model it trains, which broker it ends up in, is disclosed nowhere you will ever look, and nobody audits whether the policy you accepted matches what the company actually did.
It is not that the answer is bad. There is no answer, because nobody is asking the question.
You cannot undo the past
Twenty years of it is already inside the models. It cannot be taken out. Unlearning does not work and no court is going to order a frontier model deleted, so every year spent litigating backwards is another year the same extraction runs forwards, unpriced.
Stop trying to claw it back. Price it going forward. That is what a credit is for.
Data credits beat carbon credits
Carbon had the right idea and the wrong substrate.
So put the credits on a public, append-only ledger. Registering a work mints one. A training run above the threshold burns one. The receipt is permanent and readable by anyone, without asking permission from the lab or the regulator. Train on unregistered data, or buy a dataset from someone who did, and you owe what you dodged times three or five, whatever makes the honest route cheaper.
Register a work
Train a model
- Minted
- 0 u
- Burned
- 0 u
- Penalties
- none
That is the pitch. Carbon credits failed at exactly the thing data credits are naturally good at. And a public burn record is the answer to "nobody is checking," because it is a disclosure that nobody has to be trusted to make.
What it raises
Set the levy the way a radio station pays a blanket licence to broadcast: a percentage, above a compute threshold, into a fund.
| Levy rate | On $100B of model revenue | On $200B | On $500B |
|---|---|---|---|
| 1% | $1.0B | $2.0B | $5.0B |
| 3% | $3.0B | $6.0B | $15.0B |
| 5% | $5.0B | $10.0B | $25.0B |
Fund$6Ba year
= grants of $100,00060,000
Call it $6 billion a year, and it grows with the industry automatically, which is the point of a percentage.
Do not promise everybody a cheque
The honest part
Attribution is crude. One country's levy is another country's export tax. A collecting body is a monopoly and needs watching.
None of that is why it has not happened. It has not happened because the people making hundreds of billions prefer the current arrangement, where the service is free, the fine is a line item, and nobody is checking.