India's top IT companies have experienced a devastating ₹18 lakh crore loss in combined market capitalization during a brutal multi-month bear market. According to reports from The Economic Times, the Nifty IT index plummeted from its cycle peak of 46,089 on December 13, 2024, to a low of 27,078 on May 14, 2026. The decline was driven by systemic concerns over generative artificial intelligence, weak discretionary spending, and muted earnings growth across the sector. Valuations have now reached levels not seen since the global financial crisis, with the sector experiencing what experts describe as a contrarian valuation call. Latest data shows the Nifty IT index has declined more than 23% year-to-date (YTD), significantly underperforming the benchmark Nifty 50, which has fallen 9% during the same period.
IT sector bellwether Tata Consultancy Services (TCS) alone shed more than ₹8 lakh crore in value as its shares crashed 50%. As reported by The Economic Times, Infosys plunged 45%, while HCL Technologies and LTIMindtree dropped at least 40%. Wipro, Mphasis, and Coforge capitulated by over 30%, with all other index constituents falling by at least 25%. Latest YTD performance shows LTIMindtree as the biggest laggard with a 33% decline, followed by HCL Technologies at 28%, TCS at 27%, Infosys at 26%, and Wipro at 23%. Persistent Systems, L&T Technology Services (LTTS), and Mphasis have lost more than 20% each, while Coforge dropped 17% and Tech Mahindra declined 10% so far this year.
The implication, as noted by Tipnis from Nuvama, is that AI should be viewed not merely as a productivity tool but as a fundamental redesign of the professional services business model itself. As reported by Motilal Oswal Financial Services, AI is increasingly deflationary, with productivity gains being passed on to clients, compressing growth in the existing book. HCL Technologies highlighted a 2-3% deflationary impact from GenAI on its existing business, while Infosys' FY27 guidance suggests such pressures are likely to persist as productivity gains are increasingly shared with clients. Global enterprises are tightening discretionary spending and increasingly migrating workloads to cloud-native and AI-first vendors, reducing market share of legacy outsourcing companies. The dominant delivery construct may be transitioning from large hierarchical execution factories toward smaller, multidisciplinary deployment units, with future competitive advantage deriving less from labour scale and more from deployment capability, reusable workflow IP, and ownership of AI-enabled operating systems.
Following the sharp correction, analysts believe IT stock valuations have turned attractive, though the absence of clarity around AI-led disruption and future earnings growth could cap near-term upside. According to Motilal Oswal, IT valuations have become inexpensive, with Tier-I IT companies trading nearly 20% and 31% below their 10-year and 5-year average valuations, respectively. TCS and Infosys are currently trading around minus one standard deviation (-1 SD) price-to-earnings (P/E) levels and roughly 40% and 26% below their 10-year valuation averages. However, Dr. VK Vijayakumar of Geojit Investments notes that "valuations of IT stocks are attractive now. But there is no clarity on the impact of AI on IT companies' future earnings. Therefore, investors, particularly large institutional players, are refraining from investing in IT stocks." The Q4FY26 earnings season showed nearly 40% of IT companies missed revenue estimates, while margins largely met expectations supported by favourable currency movements and productivity improvements.
IT stocks have shown sensitivity to rupee depreciation as a weaker currency lifts the rupee value of dollar-denominated revenues. However, a sustained re-rating will likely require clarity on the AI revenue impact and signs of a recovery in global discretionary technology spending. The sector currently sits at a crossroads with valuations at generational lows, institutional ownership at an eight-year trough, and a handful of contrarians quietly accumulating even as the AI disruption narrative shows no sign of fading. According to Motilal Oswal, "Until deflationary pressures ease and new AI-led implementation use cases emerge, returns are likely to remain capped." Analysts believe the GenAI adoption curve is likely to remain margin-dilutive in the near term, with industry-wide margins expected to remain broadly flat over the next 18-24 months. The long-term winners will be companies moving from an employee-led model to an IP-led, platform-based model, with Tier-2 IT firms historically gaining market share during tech transitions due to their agility.
