Comment by mbreese 17 hours ago
I would add an addendum to this -- there is no way the announced spending on AI data centers will all come to fruition. I have no doubt that there will be a massive build-out of infrastructure, but it can't reach the levels that have been announced. The power requirements alone will stop that from happening.
I think you're spot on. OpenAI alone has committed to spending $1.4T on various hardware/DCs. They have nowhere near that amount of money and when pushed Altman gets defensive.
https://techcrunch.com/2025/11/02/sam-altman-says-enough-to-...
The incentive for CEOs is announcing the plan to do something, they have no idea if they will actually be able to do it, and it probably won't matter.
This happened in the dotcom too btw. Companies built out fibre networks, it wasn't possible to actually build all the physical infra that companies wanted to build so many announced plans that never happened and then, towards the end, companies began aggressively acquiring stakes in companies who were building stuff to get financial exposure (an example was BT, which turned itself briefly into a hedge fund with a telephone network attached...before it imploded).
CEOs do not operate on the timescale of waiting and building. Their timescale is this year's bonus/share options package. Nothing else matters: announce plans to do X or Y, doesn't matter, they know they will be gone long before it happens.
I think this was definitely true of CEOs in the past but Google and Meta have managed spectacular infrastructure buildouts over many decades with proper capacity planning.
There were a lot of lessons learned in the dotcom boom (mainly related to the great telecom heist if you ask me). If you look back on why there was dotcom bubble it's broadly, imho, related to the terrible network quality in the US compared to other first world countries.
Our cellular services for example lag behind basically every asian market by at least 1 maybe 2 generations now.
I believe there is a difference between what people say publicly and what they are actually committed to doing on the ground. When all is said and done, I'll be more interested to know what was actually spent.
For example, XYZ AI company may say they are going to spend $1T for AI data centers over the next 5 years.
In actuality, I suspect it is likely that they have committed to something like $5-10B in shovel-ready projects with stretch goals for the rest. And the remaining spend would be heavily conditioned -- is power available? are chips available? is the public support present? financing? etc...
Not to mention, it's a much bigger moat if you can claim you're going to spend $1T. Who else will want to compete with you when you're spending $1T. After the dust has settled and you've managed to be one of the 2-3 dominant AI players, who is going to care that you "only" spent $100B instead of $1T. Look -- you were very capital efficient!
So, do I see it as possible that XYZ AI company could spend $1T, sure. Is it likely? No.
Hmm... "CEOs and teams" don't necessary do what's makes sense mathematically. Many, if not most of them, do whatever that sounds good to shareholders in their quarterly earnings call and ignore the reality or long term development.
If "CEOs and teams" are smart enough, they would not have overhired during 2021-2022 and then do layoffs. Who would be dumb enough to do that?
The power requirement is only an issue in western countries, where utilities build at most a double digit buffer, and are used to overall energy use leveling due to efficiency improvements. Now look at China where they routinely maintain a 100% buffer. Demand can double and they can supply that without new generation capacity.