After the AI Crash

The author argues an AI industry crash is likely due to unsustainable capital expenses (requiring $2 trillion annually in revenue versus realistic forecasts of far less), circular revenue dependencies among tech firms, high debt funding, public resistance to data centers, corporate skepticism about AI's actual cost-effectiveness, and diseconomies of scale where larger AI models consume exponentially more resources. A potential total crash could mirror the 2000 tech bubble and wipe out $20 trillion in U.S. wealth, though a milder correction with reduced industry expectations is also possible.