While everyone’s drunk on AI hype, the numbers tell a different story. AI sector investment now makes up over half of total U.S. investment. That’s more than the dotcom and telecom booms. Let that sink in. Capital expenditures in AI jumped tenfold in three years after ChatGPT dropped. We’re talking about a concentration of wealth that would make robber barons blush.
The top 10 U.S. tech companies are hoarding most of this AI investment. Meanwhile, corporate earnings outside this elite club? Stagnant. Dead in the water. Recent AI startups are hitting billion-dollar valuations with no products, no revenue, and no competitive edge. Just vibes and PowerPoint decks. Remember when companies needed to actually make something?
The U.S. economy’s growth now depends on these massive AI capital expenditures. Job growth is flat. Consumer spending’s role in economic growth has taken a backseat to AI infrastructure splurging. Traditional sectors are watching their investment opportunities dry up because all the money’s flowing to AI. Stock indices outside big tech have basically flatlined.
OpenAI wanted $7 trillion in funding. Seven. Trillion. That’s not a typo. Microsoft, Google, and Meta are forcing AI tools down users’ throats whether they want them or not. Microsoft won’t even report recent AI revenue numbers anymore. Wonder why. Data centers aren’t making money for developers or infrastructure partners, but everyone keeps building them anyway.
The resource drain is insane. AI data centers use 10 times more energy than traditional servers. American electricity prices jumped 6.5% last year, partly thanks to AI’s appetite. Water consumption by AI facilities is causing actual shortages. Foxconn and TSMC are dumping billions into AI infrastructure worldwide.
Nearly $100 billion has poured into AI companies recently. Investors are terrified of missing out, so they’re throwing money at anything with “AI” in the pitch deck. Companies like Thinking Machines are collecting billions without products or revenue. The disruption is so fast that even the disruptors are getting disrupted. Management structures are dissolving as AI replaces entire departments.
The bubble‘s real. The question isn’t if it pops, but when. Despite all this investment, a staggering 77% of small businesses cite lack of technical expertise as a major barrier to adopting these supposedly revolutionary technologies.
References
- https://unherd.com/2025/08/is-the-ai-bubble-about-to-burst/?lang=us
- https://www.wheresyoured.at/ai-is-a-money-trap/
- https://www.bloodinthemachine.com/p/the-ai-bubble-is-so-big-its-propping
- https://www.fierce-network.com/modernization/ai-bubble-verge-bursting
- https://stackoverflow.blog/2025/05/15/whether-ai-is-a-bubble-or-revolution-how-does-software-survive/
