The profit engines of Big Tech are being dismantled for kilowatts. Amazon's free cash flow is down 97% this year, with Microsoft, Google, and Meta each down at least 8%, as they pivot from returning cash to shareholders to a $700+ billion capital expenditure sprint on data centers and power contracts.
This isn't just a chip race. According to Chamath Palihapitiya on the All-In podcast, hyperscalers are signing long-term power purchase agreements at more than double the spot rate to lock in supply, morphing into highly leveraged industrial businesses. The strategic bottleneck has shifted from code to the physical grid, with the White House invoking the Defense Production Act to fast-track transformer manufacturing as data center demand is set to double US electricity use by 2030.
"The asset-light era of software is ending."
- Chamath Palihapitiya, All-In
AI labs are trading their futures for access to this scarce infrastructure. Anthropic has signed $73 billion in combined deals with Google and Amazon, locking in capacity that rivals Microsoft's entire 2024 global data center footprint of about 6 gigawatts. As Nathaniel Whittemore notes on The AI Daily Brief, these are compute-for-equity swaps that bind startups to specific clouds for a decade, securing the gigawatts needed to stay in the race.
Microsoft and OpenAI unwound their exclusive partnership to adapt to this new reality. Microsoft dropped its exclusive sales rights, allowing OpenAI to sell on AWS and Google Cloud, but secured its 27% equity stake and revenue share through 2030. This polyamorous pivot, as Jason Calacanis called it on This Week in Startups, lets Microsoft capitalize on OpenAI's wider growth while hedging its own infrastructure bets.
The demand for AI is not the constraint. Semi Analysis analyst Dylan Patel notes token demand has officially outpaced global compute supply, leading to rationing. Anthropic's Opus 4.7 is currently "compute-gated," and labs are sold out of capacity. This creates a new competitive moat: sheer physical ability to serve tokens. As Ben Horowitz argues on the a16z Show, capital can now bridge technical gaps, making physical bottlenecks - electricity, chips, land - the decisive factors.
"The historical rule that you can't throw money at a software problem to catch up is now false. Capital can accelerate progress."
- Ben Horowitz, The a16z Show
The outcome is a brutal capital race where the hyperscalers, owning the physical stack, extract massive premiums. Google’s new AI-designed TPU chips offer 80% better performance-per-dollar for internal workloads, and the company now controls an estimated 25% of the planet's AI compute. The game is no longer about who has the smartest model, but who controls the factories that produce the tokens.





