The sharp selloff in Indian IT stocks on February 4, and in Indian stocks listed on Nasdaq a day earlier, is being seen as a repricing driven by artificial intelligence-led shifts in the $283-billion IT service delivery industry rather than a signal of weakening enterprise technology demand, analysts said.
Shares of Infosys, TCS, LTIMindtree, and Coforge fell between 6-8 percent, dragging the Nifty IT index down over 7 percent and erasing nearly Rs 2 lakh crore in market capitalisation. The decline followed a global technology selloff, with IT services stocks listed in the US also down between 5 to 9 percent.
The selloff was initially triggered after AI startup Anthropic unveiled new agentic capabilities for its Claude platform, reviving concerns that advanced automation could disrupt software and professional services models.
Market participants also pointed to renewed concerns after enterprise software company Palantir’s latest earnings commentary highlighted how AI-led platforms are compressing timelines for complex enterprise work, worrying expectations around traditional IT services-led revenue models.
“Productivity gains and automation have been around for a while, and Indian IT companies have adapted quickly,” said Amit Chandra, Vice President at HDFC Securities, told Moneycontrol. “AI shortens timelines, but complexity does not disappear. Enterprises still need services firms for data, integration, and execution.”
That view was echoed by Sagar Shetty, Research Analyst at Stoxbox.
“Automation tools like those being rolled out by AI companies (Anthropic) are being perceived as a threat to traditional IT services models, but at this stage, the reaction looks more sentiment-driven than based on any visible slowdown in client spending.”
Moreover, the current sell-off is largely driven by FPIs offloading, and it is mostly a herd mentality playing out, Chandra added. “The reaction hasn’t been as stark in Indian markets.”
AI compresses the services stack
One of the clearest triggers for investor anxiety was Palantir’s disclosure that its AIFD platform can execute large SAP ECC to S/4 migrations in as little as two weeks, work that has historically taken years and formed one of the highest-margin service lines for global IT companies.
“AI-led implementation and orchestration can collapse multi-year enterprise transformations into weeks, creating disproportionate impact with far fewer people,” Palantir CEO Alex Karp said during the earnings call on February 3.
For investors, this raises concerns around fewer billable hours per transformation, smaller AI-assisted teams, and a shift away from labour-based billing toward IP- and platform-led monetisation, where most IT services firms remain structurally weaker.
Transition, not displacement
Analysts cautioned against reading the selloff as a sign of declining relevance for Indian IT firms.
Large IT services players are already embedding AI into their delivery stacks.
Infosys and Cognizant have partnered with Cognition to deploy Devin, an AI engineer aimed at accelerating software development, signalling that services firms are positioning themselves as AI deployers rather than resisting the shift.
An analyst who did not wish to be named said markets were largely pricing in the direction of travel rather than near-term impact. “All of this is valid, and this is where the industry is heading. But for the next few years, this remains implementation-heavy work. Trust, governance and the fact that things still break mean IT companies will continue to exist. Headcount will come down sharply, but the transition will take time.”
Headcount and annuity pressure
Investors are also grappling with what AI-led productivity gains mean for the industry’s headcount-driven growth model.
Palantir cited multiple examples of WarpSpeed-driven efficiency gains, including planning cycles shrinking from 160 hours to 10 minutes, material reviews dropping from weeks to under an hour, and throughput improving up to 40 times in systems with frequently changing designs.
WarpSpeed is the internal name for Palantir's AI-driven execution and orchestration layer.
Palantir CTO Shyam Sankar, in the call, added that AI-led orchestration allows the company to deliver outcomes with a fraction of the people previously required.
Applied to IT services, similar logic could disrupt ERP testing, data migration validation, process mapping, and QA documentation.
“IT services companies will still be required because clients do not know how to deploy these tools, but the number of days and manpower required will be much lower,” Sumit Pokharna, vice president for fundamental research at Kotak Securities, told Moneycontrol.
He added that if the number of hours decreases, billing dynamics will change, and overall revenue could be affected.
Therefore, clients may also slow or defer IT spending to assess new technologies, but demand typically returns as confidence builds in the near term.
“What markets are reacting to is not incremental automation but the speed and scale at which AI platforms are compressing timelines for complex enterprise work,” said Harshal Dasani, Business Head at INVasset. “That challenges service models built on long execution cycles and linear headcount growth.”
Nevertheless, the selloff reflects how quickly AI is forcing investors to rethink service economics, even as client spending holds up.
Also, read: What about Anthropic's new AI tool is spooking investor sentiment towards software firms?
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