Technology stocks on Wall Street faced a significant downturn as investor concerns rose regarding the future of artificial intelligence (AI) data center projects, particularly in the wake of the US midterm elections. The sell-off resulted in the erasure of gains made in the previous session, with a concurrent rise in oil prices exerting additional pressure on financial markets.
The Nasdaq Composite experienced a sharp drop during Thursday’s trading session, with semiconductor companies among the hardest hit. Notably, Nvidia’s shares fell by over 6%, while Advanced Micro Devices (AMD) saw a decline of 12%, and Micron Technology dropped 11%. These companies are key suppliers of processors and memory chips essential for AI data centers, linking their growth to substantial investments in computing infrastructure by technology firms aiming to bolster AI services.
Investor apprehension stems from increasing opposition to large-scale data center developments across the United States. Several successful candidates in the midterm elections have advocated for restrictions or temporary halts on new data center projects, citing concerns over energy consumption, infrastructure demands, and their impact on local communities. This uncertainty regarding potential regulatory changes has weakened confidence in AI-related stocks, which have been among the market’s top performers.
Meanwhile, oil prices rebounded following a sharp decline in the previous session. Brent crude saw a 2.3% increase to $96.79 per barrel, and US West Texas Intermediate crude rose by 2.4% to $90.26. The recovery in oil prices was driven by expectations that political pressure in Washington might lead to diplomatic efforts to resolve conflicts with Iran.
European markets displayed mixed reactions, with major indexes in London and Frankfurt closing lower after initial gains post-US election results. Similarly, Asian technology stocks were under pressure, with South Korea’s benchmark index falling by more than 5%.
The recent sell-off underscores growing investor uncertainty regarding the sustainability of AI-related investments, potential government restrictions on data center expansion, and shifting conditions in global energy markets.