$650 billion a year is being poured into AI infrastructure while 90% of companies report zero measurable impact

Combined hyperscaler AI capex is projected at $650-700B for 2026. SoftBank put $64.6B into OpenAI alone. Big tech collectively issued $100B in bonds in early 2026 specifically to fund AI infrastructure. Sovereign wealth funds from Saudi Arabia and UAE are writing $10-40B checks. Meanwhile: * Fortune/CEO survey (Feb 2026): 90% of firms report no measurable AI impact on operations * MIT Media Lab: 95% of AI projects deliver zero return * Yale Budget Lab: \~55,000 US layoffs citing AI, but no macro-level disruption to employment * AI's direct contribution to total factor productivity: 0.01 percentage points Yet not a single major player is pulling back on capex. Everyone is accelerating into 2027. Either this is the biggest disconnect between capital deployment and realized value in modern history, or we're in the gap between "the technology works" and "the economy has reorganized around it." That gap is where all the risk sits. I mapped the full 9 layer physical dependency chain, from shale wells in Pennsylvania to datacenter clusters in Abu Dhabi, that has to hold together for this bet to pay off: [https://www.bearbull.io/blog/Deep-Dive/AGI-Industrial-Chain](https://www.bearbull.io/blog/Deep-Dive/AGI-Industrial-Chain)