The week closed with a useful correction to the AI fantasy. Public markets are suddenly nervous again, but the underlying race is not slowing down. It is getting heavier, more expensive, and more political.

CNBC reports that the Nasdaq just posted its worst week since April 2025, as investors sold tech on rising energy prices and war fears. Meta fell more than 11% for the week, Alphabet nearly 9%, and Microsoft almost 7%. That kind of tape matters because AI is no longer a story you can tell with product launches alone. It now depends on an industrial base that has to be financed through bad weeks, not just good ones.

The clearest proof came out of Texas. Crusoe says it is building a new 900-megawatt AI factory campus in Abilene for Microsoft, next to its existing site, bringing total projected capacity there to 2.1 gigawatts. That is the signal beneath the signal. The next phase of AI competition is not mainly about who demos best onstage. It is about who can secure land, power, cooling, and balance-sheet tolerance before everyone else runs into the same physical bottlenecks.

Meanwhile, the product war is shifting from model quality to workflow capture. OpenAI has launched Codex plugins that package skills, app integrations, and MCP servers into reusable workflows. Google is pushing from the consumer side with new Gemini tools that let people import memories and full chat histories from other AI apps. Same move, different audience: make the assistant harder to leave by turning it into a working environment rather than a chat window.

That leaves the governance layer looking even more fragile. Reuters reports that Monika Bickert, Meta’s longtime content policy chief and one of the company’s central figures on moderation and safety, is leaving for Harvard Law School after more than a decade at Facebook and Meta. In a week already shaped by court losses, platform scrutiny, and market stress, her exit reads less like a routine personnel change than another reminder that the institutions steering speech and safety online are being asked to stabilize systems that are scaling faster than their oversight models.

So the board this morning is straightforward. Markets are wobbling. AI infrastructure spending is still accelerating. Platforms are moving to own user context before assistants become interchangeable. The old AI race was about who had the smartest model. The current one is about who can fund the compute, capture the workflow, and survive the backlash that follows.