The Dirty AI lie : How the GREATEST bet in human history started to crack in June 2026?
Think School's case study of the AI infrastructure bubble: $725 billion of Big Tech capex in 2026 against $75 billion of actual AI revenue - a 9-to-10x gap that JPMorgan prices as the '$650 billion question' and Sequoia's David Cahn calls the $600 billion question. The episode connects Apple's first-ever mid-year price hike to the memory-chip war (Samsung, SK Hynix and Micron shifting 93% of production to AI memory, DRAM up 171% year-on-year), runs the capital-cycle pattern against the 1996 telecom bubble (97% of fiber unused, $2 trillion wiped out, then the wreckage becoming the backbone of Google and Netflix), and lands on an uncomfortable middle: very high possibility of a bubble, not a certainty - because Nvidia earns $120 billion a year and NASDAQ trades at 26x forward earnings, not 60x. FULL COVERAGE: the captions appear to cover the entire episode. All statistics and quotations are the video's own assertions, drawn from its cited reporting (WSJ, FT, CNBC, JPMorgan, PIMCO, McKinsey, BCG, MIT) - treat them as claims to verify, and note some are auto-captions of third-party clips. Sponsor: Odoo (mid-roll segment). Nothing here is investment advice.
Executive Summary (TL;DR)
Is AI the greatest business bet in human history or the greatest bubble ever inflated? The numbers in this case study: Big Tech will spend $725 billion on AI infrastructure in 2026 (8x 2020), consuming 94% of operating cash flows, while every major AI model company combined earns about $75 billion and loses at least $17 billion - JPMorgan says the spending only makes sense if AI earns $650 billion a year. Meanwhile the cost is landing on you: memory makers get 10x more per module from AI data centers, so DRAM is up 171% and Apple raised prices mid-year for the first time ever. The bull case cracked in June 2026 when enterprises like Lindy and Uber revolted over token costs and Palantir's CEO called the models 'irresponsibly oversold'. The historical mirror is telecom 1996-2001: the technology was real, the internet did change everything, and the bubble still burst - 97% of the fiber sat unused while $2 trillion vanished, then demand arrived and the survivors owned the backbone of the modern internet. The honest verdict: very high possibility of a bubble, not a certainty. FULL COVERAGE: captions appear complete. Sponsor: Odoo. Not investment advice.