How Much for Your Brain?

It started with memory. Contacts in the phone, dates in the calendar, routes in the GPS. Reasonable enough. Memory is storage, might as well delegate it.

Then we outsourced computation. Spreadsheets, recommendation algorithms, search engines. Still defensible: raw calculation isn’t thought.

Now we are outsourcing imagination. The construction of a response, the formulation of an argument, the generation of an image, the sketch of a plan. And here we hit something different. We are hitting the last human domain.

The Transfer in Progress

This is not a metaphor. Every time a professional asks an LLM to write on their behalf, to structure their reasoning, to propose solutions to a problem they haven’t yet fully articulated, they are transferring a real cognitive capacity. Not content. A capacity.

Bernard Stiegler named this movement with precision: proletarianization. Not the proletarianization of bodies, the nineteenth-century kind, but of knowledge. The moment when a skill that was yours, because you practiced it, because it constituted you, passes into the machine. And once it has passed, it atrophies in you. The lathe operator’s know-how was yesterday. The executive’s know-how of thinking is today.

Stiegler did not condemn technology. He described its logic. Pharmacology: any tool that relieves a capacity will eventually replace it. GPS didn’t kill navigation, it made navigation unnecessary. What is unnecessary is no longer practiced. What is no longer practiced disappears.

The Invoice as Confession

Meanwhile, the subscriptions accumulate. Claude Pro. ChatGPT Plus. Gemini Advanced. Midjourney. Perplexity. Corporate AI budgets grow quarter after quarter. These are real expenditures, justified, often defended internally as productivity investments.

But the money leaving your account is the accounting trace of a cognitive transfer. You are not simply paying for a service. You are paying to keep functioning without the capacity you have gradually stopped exercising. That is the precise structure of dependency, Mark Fisher would have recognized it as capitalist realism in its starkest form: the inability to imagine an alternative, even to one’s own dispossession.

The Double Reversal

This is where the paradox reaches its tipping point.

Shoshana Zuboff showed how surveillance capitalism transforms human experience into raw material. You use a free service, you produce behavioral data, that data is sold. You are the product. The formula is well known.

But what is happening with generative AI is more radical still. You pay. And you still produce the raw material. Every prompt, every correction, every implicit signal of feedback on a response, that is training data. Your brain is training the companies you pay.

This is not a conspiracy theory. It is the declared mechanics of continuous learning systems. The user improves the model. The model becomes better than the user. The user subscribes to access what they helped build.

So how much would you pay for your brain tomorrow? The question is not rhetorical. It is financial. If the capacity to reason, to imagine, to construct complex arguments becomes an external service, the way we now rent storage space or computing power, what is its price? And who will be able to afford it?

What Cannot Be Delegated

None of this is inevitable. Stiegler did not argue for rejecting technology, he argued for individuation, for the deliberate maintenance of a practice that resists outsourcing. The tool must remain a third party, not a substitute.

The question is not whether to use AI. It is knowing precisely what you hand over, and what you choose to keep. Not out of nostalgia, but out of calculation. Because what you stop practicing, you eventually have to buy back.

And the price is rising.