The most important pattern this week is the simultaneous movement in opposite directions. Government is becoming a more consequential gatekeeper over frontier-model release and hyperscale infrastructure, while open weights and on-device models are making technical alternatives more plausible—and the portability question is becoming more concrete. * White House
Essay
As AI systems learn our preferences, projects, and workflows, portability will determine whether model choice becomes customer power.
Signal
The federal government is becoming the gatekeeper for a privately owned AI infrastructure system. That combination concentrates power—and creates structural incentives for corruption.
This week's note starts with the monthly update for July - where we try to gather up all the events we've studied during the month and tell you where we think things stand. The result - there's still a bias of activity toward centralization, but the
Signal
AI is not simply replacing jobs. It is compressing teams, shifting work outside firms, concentrating implementation expertise, and changing who holds authority. The early workforce struggle is over who controls the redesign—and whether workers can contest it.
Essay
Six practical questions help reveal whether AI choices can still be changed. Applied to data centers, Android, OpenAI Presence, and Meta’s Hyperion project, they show a window being preserved, reopened, narrowed—and nearly closed.
Essay
AI data centers are no longer merely local land-use projects. They are claims on regional power, water, infrastructure, and public capacity. Can our distributed institutions govern the whole before the choices become difficult to reverse?
I have spent the last several weeks reorganizing and restructuring the website of The Race. The major change is rather than try to reduce coverage to a single stream, we're now tracking activity across eight 'lanes'. Activity in AI adoption is happening in so many places
Essay
AI will not reshape society through algorithms alone. It will depend on whether governments, schools, utilities, and other public institutions develop the capacity to understand, procure, and govern it before dependence on a handful of private actors becomes the default.
Signal
AI’s physical expansion depends on electricity, water, land, and grid access. That gives utilities, regulators, and local governments a crucial opening to shape who pays, who benefits, and whether the public retains a meaningful say in the AI race.
Essay
States are beginning to build a public layer for AI through inventories, procurement rules, training, shared tools, and limits on consequential uses. The framework is emerging, but dependence on private platforms remains its weakest point.
Essay
Buying access to AI is easy. Durable implementation capacity depends on whether organizations can redesign workflows, train people, preserve learning, and switch providers without surrendering control to vendors or platforms.