The AI-driven technology rally is facing a major reality check as IBM, Oracle and several Nasdaq heavyweights come under selling pressure. The Nasdaq has reportedly retreated more than 4% from its record highs in October 2026, reflecting growing investor concerns over stretched valuations, rising infrastructure costs and uncertain returns on artificial intelligence investments.
Semiconductor stocks are among the hardest hit. AMD reportedly suffered a sharp single-session decline following an outlook that disappointed elevated market expectations. Nvidia also faced pressure as investors reassessed AI growth assumptions, while Micron, Intel, Marvell, Arm Holdings and SanDisk were caught in a broader semiconductor selloff.
AI infrastructure companies are experiencing similar turbulence. CoreWeave and Nebius reportedly recorded steep declines, while connectivity specialists Astera Labs, Credo, Coherent and Lumentum faced selling pressure. These movements highlight concerns about the capital-intensive nature of AI data centres and the availability of affordable financing.
Software and data analytics companies face a different challenge. Palantir and Thomson Reuters have reportedly experienced valuation pressure amid fears that generative AI and autonomous agents could disrupt traditional software licensing, enterprise analytics and subscription-based business models.
Technology giants are confronting an expensive AI investment cycle. Alphabet's reported capital expenditure plans of $175–185 billion for 2026 have intensified questions about infrastructure spending and monetisation. Meta and Tesla have also faced pressure as investors increasingly prioritise profitability, cash flow and measurable returns over ambitious AI expansion plans.
Macroeconomic uncertainty is amplifying these concerns. Higher-than-expected US inflation could sustain elevated interest rates, reducing the appeal of growth stocks whose valuations depend heavily on future earnings. Meanwhile, warnings about excessive AI investment have reinforced fears that infrastructure expansion may outpace commercial demand.
The larger concern is whether AI investments can generate sustainable profits at the scale markets anticipate. IBM's reported growth challenges and Oracle's debt exposure illustrate company-specific vulnerabilities within a broader technology repricing. The market is shifting from rewarding AI ambition to demanding financial discipline, operational efficiency and demonstrable returns on investment.
