AI's Trillion-Dollar Question: Is Scale Actually Profitable?
Source: Derekthompson
The frenzied infrastructure spending that followed ChatGPT's launch is now colliding with hard unit economics. Companies have bet hundreds of billions on the assumption that bigger models automatically mean better returns, but deployment costs, power consumption, and marginal improvements haven't kept pace with investment. The shift from "move fast and break things" to "prove this actually works" will consolidate the AI market around whoever can demonstrate sustainable revenue models, not just technical capability, narrowing the field from dozens of frontier labs to a handful of defensible platforms.