AI-GenAI
A machine can now ingest an absurd amount of scientific literature and treat it like working memory. It can surface connections no human would spot simply because no human can hold that much context in their head at once.
That is extraordinary.
But the machine does not know which connections matter. It finds all of them: the significant ones and the trivial ones, the ones that unlock new treatments and the ones that are statistical lint.
The human who can tell the difference becomes more valuable, not less.
The machine solves. The human selects.
Selection is harder than solving. That is the thing nobody wants to say.
Microsoft CEO Satya Nadella has ordered a radical AI transformation, telling leaders to rethink every part of the business. Internal documents and interviews show he is consolidating power around AI teams, speeding product cycles, and demanding leaner execution. He promoted longtime sales chief Judson Althoff to run the commercial business so he can focus on technical work, and launched a weekly AI accelerator meeting where frontline engineers—not executives—present. Nadella also opened exclusive Teams channels for senior leaders, directing them to act like individual contributors and learn from early-career talent. The shake-up is pressuring veterans such as Rajesh Jha and Charlie Bell to consider retirement, signaling possible turnover at the top. Insiders say the new structure gives Nadella “extra bandwidth” to lead what he calls a “tectonic AI platform shift,” a moment he ranks alongside Microsoft’s move to cloud.