Shares of Indian information technology exporters saw a sharp selloff after fresh advances in artificial intelligence intensified concerns about structural disruption to the global IT services model. The NIFTY IT index fell 6.3 percent in Wednesday’s trade, marking its steepest single-day decline since March 2020, as investors reacted to new automation tools launched by U.S.-based AI company Anthropic.
The selloff followed Anthropic’s announcement of new plug-ins for its Claude Cowork agent, designed to automate tasks across legal, sales, marketing, software development, and data analysis functions. The launch triggered losses in U.S. and European software and data analytics stocks and quickly spilled over into Indian IT equities, given the sector’s heavy exposure to global enterprise clients, Reuters news report said.
All 10 constituents of the NIFTY IT index were trading lower. Infosys led the declines, sliding 7.3 percent, while Tata Consultancy Services (TCS) fell 5.8 percent and Wipro dropped 3.9 percent. HCLTech declined 5.1 percent, reflecting broad-based concerns across large-cap IT services providers.
NIFTY 50
Indian IT stocks witnessed a sharp selloff, with major players ending the session deep in the red. Infosys led the decline, falling 7.26 percent to Rs 1,535.80, followed closely by TCS, which dropped 7.01 percent to Rs 2,999.10. HCL Tech slid 4.34 percent to Rs 1,621.80, while Tech Mahindra declined 4.15 percent to Rs 1,645.30. Wipro also closed lower, down 3.85 percent at Rs 233.34. The broad-based fall highlighted weak investor sentiment across the IT sector.
India’s IT sector, valued at around $283 billion, has relied on a labour-intensive delivery model, deploying large teams of engineers to execute client projects across application development, testing, maintenance, and data management. Analysts warn that the rapid adoption of advanced AI agents could reduce the need for such large teams, directly pressuring revenue growth, billable hours, and operating margins.
“As Indian enterprises integrate Claude for critical coding workflows, dependency on large vendor teams may decline, squeezing billable hours and margins,” said Ambrish Shah, analyst at Systematix Group. He added that AI-powered automation could also weaken demand for entry-level roles by replacing routine development, quality assurance, and testing tasks.
The concerns extend beyond coding. Anthropic’s Claude Cowork plug-ins are positioned as digital co-workers that can perform multi-step tasks, analyze datasets, generate reports, and support decision-making with limited human supervision. This capability poses a direct challenge to traditional IT and business process outsourcing services, where Indian firms generate significant revenue from data analytics, consulting support, and managed services.
Global investors are increasingly questioning whether Indian IT companies can defend their pricing power as clients experiment with AI tools that promise faster turnaround times and lower costs. While large Indian IT firms have invested heavily in their own generative AI platforms and partnerships with hyperscalers such as Microsoft, Google, and Amazon, near-term uncertainty remains around monetization and workforce redeployment.
Adding to the pressure, global technology stocks have been volatile amid concerns that AI-led productivity gains could disrupt established software and services vendors. U.S. and European data analytics companies have also seen valuation resets, reinforcing fears that automation could reshape demand patterns across the technology services ecosystem.
Industry executives have repeatedly argued that AI will augment rather than replace human talent, enabling engineers to focus on higher-value work such as architecture design, cybersecurity, and AI governance. However, the market reaction suggests investors remain cautious, particularly about near-term revenue visibility and the impact on fresher hiring, which is a key pillar of India’s IT talent pipeline.
The sharp decline in Indian IT stocks highlights growing unease over how quickly AI agents could move from experimental tools to core enterprise infrastructure. As global clients accelerate AI adoption, Indian IT companies may face increasing pressure to transform their operating models, reskill workforces, and shift toward outcome-based and platform-led revenue streams to sustain long-term growth.
RAJANI BABURAJAN
