Asian stock markets opened lower on Friday after the steepest phase yet of the global correction in AI-linked equities. The decline followed a Wall Street session in which Nvidia fell 9.3%, becoming the largest drag on the S&P 500, while semiconductor, data-centre and AI-infrastructure companies recorded broad losses.
The selloff reflects several overlapping concerns. Investors are reassessing the speed and scale of planned data-centre construction, the electricity and regulatory constraints surrounding those projects, and whether current demand projections justify the valuations assigned to AI chip and infrastructure suppliers. Political resistance to data-centre expansion in parts of the United States has added a new variable to an industry already dealing with power availability, grid connections and capital intensity.
The correction has direct implications for Asian semiconductor markets, where companies in Taiwan, South Korea and Japan form critical parts of the global AI hardware supply chain. Memory suppliers, foundries, electronics manufacturers and data-centre component makers had benefited from rising demand for GPUs, networking equipment and high-bandwidth memory. A slower infrastructure buildout could alter purchasing schedules even if long-term demand remains intact.
Indian markets are less concentrated in chip manufacturing but remain linked through IT services, engineering work, electronics production, cloud deployment and foreign portfolio flows. Indian technology-services companies also support global enterprises implementing AI systems, placing them downstream from decisions on infrastructure spending. A change in hyperscaler investment schedules could therefore affect project sequencing even without producing an immediate reduction in enterprise AI work.
The market movement does not establish that global AI expenditure is contracting. It does, however, show investors differentiating more sharply between companies with established revenue, those dependent on infrastructure expansion and businesses whose valuations assume uninterrupted growth. The correction also comes as global technology companies continue committing large sums to compute, while facing demands to cover power, water and local infrastructure costs.
Friday’s Asian session is consequently serving as an early indicator of whether the US adjustment becomes a broader repricing of technology assets or remains concentrated among the most highly valued AI beneficiaries.
