US tech stocks see sharp falls over AI cost fears

AI development costs now exceed projected revenue for some major tech firms, signaling a potential shift in investor sentiment and prompting a re-evaluation of AI investments.

US tech stocks experienced a significant downturn for the second consecutive day, driven by investor concerns over the massive expenditures on artificial intelligence (AI). Companies like Intel saw their shares drop by up to 30%, following a substantial decline in Alphabet's market value the previous day. Other major tech firms, including Reddit and Amazon, also faced stock price drops, contributing to a more than 3.5% decrease in the Nasdaq index. This sell-off comes as major tech companies, including Meta, Alphabet, Oracle, Amazon, and Microsoft, have collectively committed to spending over $800 billion in 2026 alone on AI development and infrastructure. Alphabet's stock fell after it disclosed that its AI-generated summaries were negatively impacting its core search advertising revenue, and it expects to spend up to $205 billion this year on AI investments. Intel plans to increase AI spending despite a weaker PC market and lower-than-expected revenue forecasts.

The current market reaction indicates that investors are becoming increasingly wary of the profitability and long-term viability of massive AI investments. Companies are committing hundreds of billions of dollars, with some, like Alphabet and Intel, reporting that current or near-term earnings are not meeting expectations due to these expenditures. This suggests a potential bubble or at least a significant 'growth pains' phase for the AI sector, where the cost of building infrastructure and developing technology is outstripping immediate financial returns. The market's punishment of companies like Alphabet and Intel signals that investors are demanding clearer evidence of ROI before continuing to fuel aggressive spending.

This increased scrutiny could lead to a recalibration of AI spending across the tech industry, potentially slowing down the pace of development or forcing companies to focus on more immediately profitable AI applications. Other tech firms, especially those reliant on AI for growth, may face similar investor pressure if their earnings reports do not demonstrate a clear path to monetization that justifies the high costs. The market will likely watch closely for any signs that AI stocks are past their peak, potentially driving a search for new investment themes if the AI trade falters significantly.