Incentives

Data markets usually sound simpler than they are. A buyer wants data. A seller owns data. A platform matches them. Payment moves. Everyone gives a keynote about “unlocking value.” Then the real problems arrive wearing steel-toed boots: the data is private, the seller may be low quality, the buyer wants a model rather than a spreadsheet, the compute layer may be dishonest, and nobody wants to trust a central broker unless absolutely necessary. ...

TL;DR for operators Users do not experience an AI product as a theorem. They experience it as a bargain. They give data, attention, labour, trust, prompts, feedback, documents, creative work, behavioural traces, and sometimes money. In return, they expect useful output, lower friction, safer decisions, visibility, compensation, privacy, or at least not being quietly turned into unpaid infrastructure. The bargain may be explicit. More often, because apparently we enjoy building planetary-scale systems on implied consent and vibes, it is not. ...