Indian information technology stocks remained under heavy pressure on February 16, extending a multi-day decline driven by mounting anxiety that rapid advances in artificial intelligence could reshape the economics of the global software services industry. The downturn reflects a sharp shift in investor sentiment toward a sector long regarded as one of India’s most stable export engines.

The selloff dragged the down about 1 percent to around 32,360 in morning trade, marking its fourth consecutive session of losses and taking the cumulative drop to more than 9 percent over that period. The weakness has been persistent rather than episodic: the index has already fallen roughly 13 percent in 2025 and is down about 15 percent so far in 2026, underscoring a structural rather than cyclical concern.

Large-cap companies bore the brunt of the decline. Infosys fell more than 2 percent, extending a slide of over 20 percent in the past month. Tech Mahindra, Wipro and LTIMindtree also traded lower, while Tata Consultancy Services, HCL Technologies and Mphasis registered marginal losses. In contrast, mid-tier players such as Coforge and Persistent Systems managed modest gains, suggesting selective buying in firms perceived as better positioned for digital and AI-led opportunities.

The trigger for the latest leg of selling appears to be intensifying fears that generative AI tools could compress demand for traditional application development, maintenance and support services - areas that have historically generated large volumes of revenue for Indian vendors. Investor anxiety increased after the launch of new enterprise-focused AI solutions globally, including legal automation tools that highlight the technology’s growing ability to perform complex knowledge work.

Market participants are increasingly questioning whether AI will reduce the need for large engineering workforces, a cornerstone of India’s offshore delivery model. If fewer engineers are required to deliver the same output, revenue growth tied to headcount expansion could slow, altering long-standing valuation frameworks for the sector.

Broader global cues have amplified the negative sentiment. Weakness in international technology stocks, depreciation of the rupee, and continued foreign portfolio investor outflows have all contributed to pressure on Indian IT shares. Additionally, mixed signals from the US labour market - India’s largest export destination for IT services - have added uncertainty about corporate technology spending trends.

Strong headline job growth in the United States in January, accompanied by a lower unemployment rate, suggests the Federal Reserve may keep interest rates elevated for longer to monitor inflation. Higher-for-longer rates typically dampen corporate investment cycles, including discretionary technology spending. At the same time, economists noted that much of the job creation was concentrated in healthcare and social services, raising questions about the breadth of economic momentum.

Industry observers, however, caution against interpreting the selloff as a definitive verdict on the sector’s long-term prospects. Some analysts argue the reaction is driven more by sentiment than by immediate fundamental deterioration. AI tools, while powerful, currently function primarily as productivity enhancers rather than full replacements for human expertise, especially in complex enterprise environments involving legacy systems, regulatory requirements and accountability constraints.

There is also a countervailing argument that automation historically expands markets by lowering costs. If AI makes software development faster and cheaper, more companies across industries may accelerate digital transformation initiatives, potentially increasing overall demand for technology services. In this scenario, Indian IT firms could transition toward higher-value consulting, platform integration and AI governance roles rather than labour-intensive coding work.

Short-term volatility, however, appears likely. Investors are recalibrating valuations to reflect uncertainty about future growth models, pricing power and margins. Large-cap companies with significant exposure to traditional outsourcing contracts are particularly vulnerable to sentiment swings, while firms with established digital, cloud and AI capabilities may attract relative resilience.