AI still has a concrete footprint: buildings, power lines, cooling systems, land, and debt. The current data-center spending surge shows that the industry is making physical bets before anyone fully knows how large profitable AI demand will become.
That is not automatically irrational. If AI usage keeps growing, capacity will be the scarce asset. But if model efficiency improves faster than expected or demand concentrates among fewer winners, some of today’s buildout could look excessive.
The stakes extend beyond tech companies. Utilities, cities, lenders, and cloud customers all inherit the consequences of the buildout, whether it produces cheaper AI or a costly infrastructure overhang.
Was this useful?
Help Pagish understand which AI stories are worth covering more deeply.
Tell Pagish if this story was useful.