The scale of the AI data center build-out is staggering. Capital commitments have already hit hundreds of billions of dollars and are forecast to top a trillion by 2029, larger than the GDP of most countries. Massive campuses spread over thousands of acres are planned. As a microchip executive recently put it, “This is the largest scale infrastructure build-out in the history of humanity.” The question is, are we building the right thing?
The entire build-out rests on an unexamined bet: that the majority of growth in artificial intelligence will happen inside centralized data centers that must continue to expand if AI is to progress. Yet more AI is not synonymous with more data centers. By pretending it is, we’re locking ourselves into massively expensive infrastructure based on a snapshot of today’s technology, while the technology itself is moving toward smaller, local, specialized models.
