Technology stocks experienced a significant downturn on Wall Street as investors expressed concerns over the future of artificial intelligence (AI) data center projects in the wake of the US midterm elections. This decline wiped out much of the previous session’s gains and was compounded by a rebound in oil prices, adding pressure to financial markets.
The Nasdaq Composite saw a sharp decline during Thursday’s trading session, with semiconductor companies bearing the brunt of the losses. Notably, Nvidia shares dropped more than 6%, while Advanced Micro Devices (AMD) fell 12%, and Micron Technology saw an 11% decrease. These companies are primary suppliers of processors and memory chips crucial for AI data centers, and their growth has been closely tied to investments by tech companies in expanding computing infrastructure to support AI services.
Investor apprehension was fueled by increasing opposition to large-scale data center developments across the United States. Several candidates who fared well in the midterm elections have advocated for restrictions or temporary suspensions on new data center projects, citing concerns regarding energy consumption, infrastructure demands, and their impact on local communities. This uncertainty over potential regulatory changes has weakened investor confidence in AI-related stocks, which have been top performers in the market.
Meanwhile, oil prices rebounded after a sharp decline in the previous session. Brent crude rose by 2.3% to $96.79 per barrel, and US West Texas Intermediate crude increased by 2.4% to $90.26. This recovery followed expectations that political pressure in Washington might lead to diplomatic efforts to resolve the conflict with Iran.
European markets displayed mixed reactions, with significant indexes in London and Frankfurt closing lower after initial gains following the US election results. Similarly, Asian technology stocks faced pressure, with South Korea’s benchmark index dropping by more than 5%.
The recent sell-off underscores growing investor uncertainty about the sustainability of AI-related investments, the possibility of governmental restrictions on data center expansion, and evolving conditions in global energy markets.