Whose AI Is It?

Last week I sat in a room with some of the most powerful executives in AI. TIME brought them together. Amazon Health. Publicis. American Express. The best people working at the intersection of AI and the companies that run the world. I was there with Sam Horton and had the chance to sit with Jess Sibley, TIME's CEO. Great energy in the room. Real conversations. And then the Amex CIO said something that I haven't stopped thinking about. They need control over AI. Compliance. Governance. The ability to contain it. I understood exactly why. And I also knew exactly what the problem was. The AI they're managing is an LLM. A giant model trained on everyone's data, owned by no one, governed by committee, built for the many and not the one. Of course you need control mechanisms. You built something that was never designed to belong to you. That's the architecture problem they can't policy their way out of. I invented web chat in 1997. Took LivePerson public in 2000. Ran it for 28 years. And for most of that time, we built AI for enterprises. For teams. For scale. And something kept gnawing at me. We optimized the person right out of it. At Uare.ai we didn't build a Large Language Model. We built a Human Life Model. Your voice. Your expertise. Your decisions. Your values. One person's knowledge flowing inward, and the value flowing back to that same person. You don't need a governance policy to control it. You own it. That's not the same thing. The compliance conversation isn't a regulatory problem. It's an architecture problem. The companies asking "how do we control AI" are the ones who bought AI that was never theirs to begin with. The better question is: whose AI is it? At Uare.ai, the answer is yours. p.s. — Great to be in the room with Jess and the TIME team. If you were there and we didn't connect, I'd love to fix that.