AI stock market crash risk grows as spending boom outpaces revenue

Rising risks of an AI-driven stock market crunch are emerging, as short-term capacity shortages clash with looming overcapacity threats, according to a Financial Times analysis. The recent tremor in AI cloud computing stocks may foreshadow broader market volatility. Tech giants Alphabet, Amazon, Meta, Microsoft, and Oracle plan to spend $800 billion on capital expenditures this year, nearly double last year's figure and exceeding their combined forecast cash flow of $700 billion. Spot market GPU rental costs have surged 50% in six months, while Brookings Institution estimates AI services spending must reach 9.2% of US GDP by 2032 for operators to achieve decent returns. Gartner forecasts $8.5 trillion in AI revenue is needed by 2030 to justify new data centre investments, but projects only $3.6 trillion actual revenue. While productivity gains or construction slowdowns could ease the imbalance, historical tech market manias tend to overshoot, and high growth expectations baked into AI stock prices leave equities vulnerable.