Abundant Intelligence (blog.samaltman.com)

A major AI infrastructure push was announced with a bold goal: build a "factory" that can produce a gigawatt of new AI compute capacity every week. The pitch frames abundant compute as a foundational economic driver — potentially a near–human-rights–level utility — because wider access to both training and inference compute will determine what problems we can tackle. The statement posits concrete scale examples (e.g., 10 gigawatts enabling breakthroughs like accelerated drug discovery or personalized tutoring at global scale) to show how compute scarcity forces painful prioritization unless capacity is dramatically increased. Getting there will take years and “innovation at every level of the stack”: custom chips, datacenter power and cooling, buildings and logistics, and robotics for rapid deployment. The plan emphasizes domestic buildout in the U.S. to counter faster infrastructure moves abroad, and signals forthcoming announcements about partners and novel financing tied to the idea that more compute directly expands revenue. Technical and policy implications are large — supply-chain and energy footprint challenges, geopolitical competition over fabs and power, and accelerated capability timelines — but proponents argue the scale-up is both feasible and necessary to unlock transformative AI applications.