Just read an interesting analysis about the real cost behind the AI boom, and honestly it changed how I think about “AI scaling forever.” Everyone talks about models getting bigger, smarter, cheaper… but the hidden constraint isn’t software , it’s infrastructure. The numbers are insane. Around 110 gigawatts of AI data centers are already planned globally Each 1 GW data center can cost $60–80 billion Total projected spending? Up to ~$6.6–7 trillion That’s not startup money. That’s nation-scale infrastructure spending. To put that into perspective, the U.S. Interstate Highway System , one of the largest infrastructure projects ever , cost far less in today’s dollars. And money isn’t even the only problem. There are real physical bottlenecks: Electricity supply Cooling water Copper and materials Power grid reliability Even if funding exists, there’s a real chance many planned data centers never get built or get delayed simply because the physical world can’t keep up with AI ambition. submitted by /u/Remarkable-Dark2840
Originally posted by u/Remarkable-Dark2840 on r/ArtificialInteligence
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