AI Infrastructure Spending Moves Into a New Phase
Capital that once chased model training is shifting toward inference, power, and the unglamorous plumbing that keeps deployed systems running.
Capital that once chased model training is shifting toward inference, power, and the unglamorous plumbing that keeps deployed systems running.
Compute is the industrial base of the next economy, and the states winning it are doing what smart industrial policy has always done.
Data center incentives hand public money and public water to trillion-dollar firms while ratepayers cover the grid bill. Communities deserve a better deal.
Rack densities have pushed past what air can carry away, and the retrofit market is scrambling to catch up with the physics.
Communities courting computing infrastructure are weighing tax revenue against power, water, and the political limits of industrial land use.
Governments competing for AI infrastructure are discovering that approval speed outbids subsidy size.
Packaging capacity, memory, and power components are the constraints that now shape delivery schedules more than leading-edge logic.
Grid interconnection queues, not chip supply, now set the timeline for new capacity, and the industry is reorganizing around electrons.