Is AI a Bubble? Three Different Answers
Yage breaks the AI bubble into three distinct risks. First, debt contagion: cloud giants borrowed hundreds of billions for data centers; if they can't repay, defaults could spread from weaker borrowers like Oracle. Watch bond spreads, not stock prices. Second, capital distortion: Amazon invested $5B in OpenAI then shelved a biopic about it; Odyssey switched chips to match whoever led its round. Capital is now deciding media releases and chip selection. Third, concentration backlash: Nadella warns that if a few models absorb all professional expertise, society will push back—he and OpenAI are already betting in opposite directions. All three are still signaling, not breaking, but the density of signals in one half-year is itself a warning.
Why it matters: Yage breaks the AI bubble into three distinct mechanisms, each backed by concrete numbers and named cases—not empty alarmism. All three HKR axes hit, with strong angle and evidence. Not 85+ because this is synthesis/commentary rather than a first-hand scoop, and some cases wer...