A short-sighted response to AI-driven productivity gains is cutting headcount. Visionaries know better: why save a few dollars when you can scale the business multiple times over?
@sundarpichai $400B is massive.
But the real story is full-stack control — infra, chips, models, distribution.
When you own the entire AI pipeline, adoption compounds way faster than model quality alone.
AI Product Design
One of the most interesting questions about mathematics is whether it's invented by people or discovered from reality.
Product design is about how things work. Specifically, how people can solve problems with computers. The solutions are systems of UI, logic, and data. We've always assumed you had to invent the whole system upfront, then fill in the details.
But AI is changing this. You can now execute isolated ideas immediately and try them. Each idea can solve a particular aspect, unconstrained by a system that doesn't exist yet.
What emerges is something closer to discovery than invention. You're not designing a system from first principles. You're connecting patterns across isolated solutions until a system takes shape.
Turns out the best systems aren't invented. They're found.
thinking about how we’re getting closer to designing emotionally intelligent machines evolving from our terminal world. User interactions will move from conversational UIs to ambient devices. The ethos & question of how disruptive this would be to our brains can’t be answered yet