The AI Closed Loop: Big Tech Wins While Corporate America Pays

The current trajectory of artificial intelligence is beginning to look less like a tide lifting all boats and more like a closed-loop wealth transfer. As The Register first reported, analysis from Apollo Global Management suggests that while the 'Magnificent Seven'—a group comprising the hyperscalers alongside Nvidia, Apple, and Tesla—are seeing increases in revenue per worker, the rest of the S&P 500 are finding no such benefit.

As a watchdog of Big Tech, I find the data emerging from the investment sector alarming. Apollo's chief economist Torsten Slok reports that U.S. firms beyond the tech industry have yet to see a financial payoff from AI. Instead of driving growth, corporate America is increasingly viewing token spending as a cost center that actively weighs down company margins.

This isn't an isolated observation. Reporting from The Register highlights a broader pattern of failure in the corporate AI experiment. A PwC report found that most chief executives have seen neither decreased costs nor increased revenue despite heavy investments. Similarly, research from Deloitte indicates that AI tool adoption has failed to help the bottom line for most companies. We are now seeing a shift toward corporate accountability, where projects that fail to prove their worth face the chopping block.

Even the optimists are hedging. McKinsey suggests the corporate world is at a turning point toward seeing returns, yet admits that the number of businesses reporting actual earnings boosts from AI has remained flat.

The fundamental problem, as Slok notes, is that AI lacks the capacity for judgment, trust, and an understanding of ethical trade-offs or culture—the very elements that drive revenue growth and manage reputational risk. Without these, AI remains a tool that can be bought and sold by the giants, but cannot be easily leveraged into profit by the users.

This creates a precarious economic cycle. Billions are being poured into datacenter infrastructure, yet Apollo notes a slowdown in token spending growth, suggesting that demand is highly price-sensitive. If businesses quickly pivot to cheap open-source alternatives at the first sign of a price hike, the economics of these massive infrastructure investments become questionable. We are essentially funding a build-out that may only yield marginal profits for the providers while the users are left with a bill they cannot justify on their balance sheets.