[Perspective: The AI Investment Cycle Has Entered 'Overtime,' Four Indicators Can Warn of Capital Expenditure Bubble] BlockBeats News, July 10 — BCA Research investment strategists stated that the current AI investment cycle has entered 'overtime,' with the AI bubble being more evident in profitability rather than valuation. The pressures brought by profit growth, demand structure, and supply expansion may become concentrated around 2027, at which point the growth rate of AI capital expenditure could significantly slow down. Investors should focus on four key bubble warning indicators: GPU rental prices, AI storage chip prices, AI application adoption rate and corporate investment, as well as Token prices and AI programming agent download volumes. Among these, the decline in Token prices and stagnation in downloads of AI programming tools are the most noteworthy early signals, reflecting that companies are gradually shifting from pursuing the most advanced models to focusing on cost control. If the AI bubble ultimately bursts, its impact on the U.S. economy and capital markets could surpass the 2000 dot-com bubble. According to estimates, U.S. stocks could experience a 30% to 50% correction, dragging down U.S. consumption and economic growth through the wealth effect.