The most revealing thing about this essay is who's missing from it: the individual user. Satya is right. Own your evals, your traces, your learning loop, your right to train on your own outputs. But he frames all of it as an enterprise problem, as if billions of ordinary users facing the same paradox with zero negotiating power is just a given, not a problem. Here's the deal the old internet actually ran on: human scale use was free, machine scale reuse was restricted. You could read anything, act on anything, do whatever you wanted with what you found. Scraping and bulk reuse were for companies, and companies got restricted. That contract made sense when only companies operated at machine scale. Personal AI breaks that assumption completely. Training a model on my own conversation history is now the personal use case. It's the new version of rereading my own notes. Yet the terms of service treat me like a scraper of my own life. And notice the sleight of hand. The labs tell you that you own the outputs. Then they attach a covenant banning the single most valuable thing you could do with them. Ownership that excludes the most valuable use isn't ownership at all. It's custody. The irony runs deeper. These same labs trained on the open web under fair use, arguing that machine learning from data is like reading. Fine, I actually agree. But then learning from model outputs is like reading too. Fair use for me, breach of contract for thee. California won't even enforce noncompetes. A researcher can quit tomorrow and build a rival with everything in their head. We privilege human memory over machine memory, right up until it's the labs doing the machine learning on everyone else's output. When learning only flows in one direction, that is not a market anymore. It is enclosure. If "what you create should belong to you," then we should make it law/new regulation that fits the new AI era. An unwaivable user right to own and reuse the outputs of your own AI interactions, including to train your own models or whatever the fuck you want (even selling it). Otherwise we get a future where a handful of companies own how everyone else learns.