Major technology stocks, especially those in the AI sector, experienced a sharp downturn this week, triggering widespread doubt about the sustainability of the AI boom. The tech-focused Nasdaq index fell approximately 3% by close of trade, and a primary index of global chip firms also slid. This sell-off comes after a relentless three-month climb that saw tech sector stock prices more than double from their 2022 lows, leading some to believe investors had moved too quickly to fund hardware behind the AI shift. Analysts are now split on whether this is a healthy, temporary pause or the start of a much larger retreat for tech investments, with sceptics pointing to cooling corporate IT budgets and broader economic pressures.
Driving these concerns are questions about whether actual corporate adoption of AI can justify the high valuations and whether massive AI investments are generating real profits instead of just marketing buzz. Companies like Microsoft and Meta are now in a bear market, having lost a fifth of their value from their peaks, while Amazon, Apple, Google, Nvidia, and Tesla are in correction territory, falling at least 10% from recent highs. This market dynamic has led to increased caution, with some investors noting that AI stock valuations have been largely built on promise rather than bottom-line profit growth. OpenAI is reportedly considering delaying its IPO due to market volatility, which could make it difficult to achieve its desired $1 trillion valuation.
One significant factor in the sharp market swings has been the rapid proliferation of leveraged ETFs, accounting for about $200 billion in assets. These ETFs, particularly those focused on technology and momentum, can amplify market moves. For example, a 1% move in an underlying index can trigger roughly $9 billion of rebalancing in the same direction. Volatility has been rising sharply, and continued sharp moves could prompt volatility-control funds to become heavy sellers, with estimates of $21 billion in selling flows on two weeks of daily 1% moves in the S&P 500. Some hedge funds have already begun reducing exposure to crowded AI trades.
Despite the sell-off, some analysts maintain an optimistic outlook. Bank of America's Vivek Arya suggests that sticky inflation and strengthening demand will ultimately drive sector forecasts higher. Arya believes the industry is transitioning from defending initial return on investment to solving physical infrastructure and power constraints. Demand for AI infrastructure remains robust, with companies like Alphabet, Amazon, Meta, and Microsoft expected to spend as much as $720 billion this year on AI infrastructure and data centers. However, concerns about the returns on these vast investments and the realism of long-term earnings expectations for chipmakers are now at the forefront.
