AI泡沫何时破灭？美银Hartnett建议紧盯这个关键指标

Core Viewpoint - The core warning from Bank of America strategist Michael Hartnett is that the true test of the AI bubble's potential collapse lies not in stock prices but in the credit spreads of technology companies. A widening spread would indicate that massive cash consumption for investments is unsustainable, signaling a potential market crash [2][3][7]. Group 1: AI Bubble and Market Dynamics - The current AI-driven bull market is characterized by significant capital expenditures, with a projected $2.9 trillion in AI-related capital spending by 2028 [5]. - Hartnett draws parallels to the 1999 internet bubble, where a similar widening of credit spreads preceded a market crash [7]. - The market's rebound is highly concentrated, with the "Magnificent Seven" tech companies contributing 80% of the S&P 500's returns since April [9]. Group 2: Labor Market Impact - The impact of AI on the labor market is becoming evident, with the unemployment rate for U.S. college graduates rising from 4.0% in December 2023 to 8.1% [9]. Group 3: Investor Sentiment and Indicators - Despite underlying risks, investor sentiment remains overly optimistic, with 60% expecting a "Goldilocks" scenario of falling interest rates and rising stock prices, while zero expect deflation [13]. - Hartnett identifies a "zero expectation" as a contrarian signal, indicating potential market vulnerability [14]. - Three sell signals from fund manager surveys suggest that a drop in expected economic "hard landing" probabilities could foreshadow a market pullback [15]. Group 4: Investment Opportunities - Hartnett highlights China as an attractive investment opportunity, citing factors such as being overlooked, peak tariffs, consumption stimulus, and record trade surpluses [19]. - The report also maintains a bullish long-term outlook on gold, driven by inflationary pressures, geopolitical isolation, and expectations of central banks reassessing gold reserves [20].