Tech stocks tumbled for a second straight day Tuesday as investors question whether the enormous sums flowing into artificial intelligence will ever pay off. The Nasdaq dropped over 2%, dragged down by sharp losses in chipmakers and AI darlings amid growing jitters over the return on more than $1.5 trillion in corporate AI investment globally over the past five years.
The chip sector takes the hardest hit
Micron Technology led the decline, with shares plunging more than 13% ahead of its earnings report on Wednesday. The memory chipmaker has been a bellwether for AI infrastructure spending, its stock climbing close to 800% over the last year on demand for high-bandwidth memory used in AI data centers. Intel and Advanced Micro Devices each fell around 6%.
Nvidia and Google-parent Alphabet extended their losses from Monday. Alphabet dropped 5% a day earlier, while SpaceX-another Musk-led company tied to AI through its Starlink satellite internet service-fell 16% on Monday before markets in Asia felt the shock Tuesday, with Samsung and SK Hynix each losing 12%.
A market swinging between optimism and doubt
"The market just continues to oscillate between 'AI is going to be great and increase productivity and all these companies are going to win' and 'AI is a big waste of time and it's not worth the return on investment at all and this is all one big bubble,'" said Gil Luria, head of technology research at investment firm D.A. Davidson.
The scale of investment is staggering. Stanford University's AI Index Report puts corporate AI spending at more than $580 billion in the past year alone, on top of over $1 trillion in the four preceding years. For professionals who follow AI for Finance, the question now is whether that capital will translate into durable earnings. "Are we going to start to see returns?" asked Mark Vena, CEO of SmartTech Research.
IPOs loom while profitability remains unproven
The sell-off arrives as two of the largest private AI companies-OpenAI and Anthropic-prepare for what could become two of the biggest initial public offerings in history. Both companies are now generating revenue, but the long-term profitability of generative AI remains an open question. The market is watching Micron's upcoming results closely for indications that the investment cycle is continuing at pace.
Why this matters for finance professionals
The rout in AI-related stocks signals a shift in market patience. After years of building out infrastructure, investors are demanding clearer evidence of revenue and profit. For anyone managing portfolios, advising clients, or allocating capital in tech-adjacent sectors, the next earnings season will be a critical checkpoint on whether the AI spending cycle can continue without triggering broader repricing of high-valuation names.
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