Silicon Valley’s Worst Kept Secret Is Out — And It Could Pop the AI Bubble Keeping the Economy Afloat

Tech elites may have discovered an infinite money glitch. OpenAI commits to massive spending; Big Tech races to raise cash, build data centers — then sells that same capacity back to OpenAI — a cycle that keeps feeding itself. Since America’s economic engine is no longer running on consumer spending or manufacturing, Silicon Valley’s astronomical AI splurge has become the new growth engine — one so massive it’s helping keep the entire economy from tipping into a recession. But what happens when the rest of the world starts to catch on?

AI isn’t the only one making things up: NvidiaNVDA

just announced a $100B partnership with OpenAI to build data centers packed with Nvidia chips. Meanwhile, OracleORCL

shocked Wall Street with a $300B deal with OpenAI, and just yesterday, CoreWeaveCRWV

expanded its data center agreement with OpenAI by an additional $6.5B. The numbers behind these mega-deals don’t add up, and the disconnect between actual cash flow and promised spending has critics calling this peak bubble behavior.

• OpenAI’s current annual revenue sits at ~$12B, yet they’ve committed to spending that would require hundreds of billions in yearly income just to break even.
• MetaMETA
  , MicrosoftMSFT
  , AmazonAMZN
  , AlphabetGOOG
  , and TeslaTSLA
  account for over 40% of Nvidia’s revenue, creating a loop where Big Tech essentially funds its own customers.

When Building the Factory Becomes the Business

Deutsche Bank’s latest analysis warns that without the billions funneled into AI infrastructure, the economy would already be in freefall. This year, AI spending has added more to the US GDP than consumer spending itself. But the growth isn’t coming from revolutionary AI products changing how we work — it’s from a frantic buildout of data centers and chips in the hope that such products will arrive someday. This distinction matters because once the data centers are built and the chips are installed, what happens if the promised productivity gains never arrive?

• Tech investment needs to stay “parabolic” to keep GDP growth alive, but Deutsche Bank’s George Saravelos warns this trajectory is “highly unlikely” to continue.
• MIT researchers found that 95% of AI pilot programs fail to deliver meaningful returns, despite over $40B invested in gen AI projects.

The contrarian case: Not everyone’s hitting the panic button. HSBC’s Max Kettner sees the S&P 500 cruising to 7K by year-end — a 20% surge — arguing that circular investing is simply “the nature of business.” He’s betting earnings growth will continue surprising to the upside, with another 13% rally in 2026 taking the index to 8K. But even Kettner acknowledges the sell signal to watch: an earnings season where margins suddenly drop. Until then, he argues the bigger risk is missing out on gains rather than staying too long at the party — though history’s littered with investors who thought the same thing right before prior bubbles burst.