Indian IT equities came under broad selling pressure on February 18, reversing a two-day recovery, as global technology sentiment weakened following the launch of a new artificial intelligence model by AI startup Anthropic. The development revived concerns that generative AI could fundamentally reshape the economics of software development and IT services—an industry that forms one of India’s largest export sectors.

The Nifty IT index dropped about 2.5 percent in morning trade, reflecting losses across both large-cap and mid-tier firms. Persistent Systems led the decline with losses exceeding 3 percent, while Infosys also fell nearly 3 percent. Other major exporters—including Tata Consultancy Services, HCL Technologies, Wipro, Tech Mahindra, LTIMindtree, Coforge, and Mphasis—registered declines ranging from roughly 2 to 3 percent. The correction mirrored weakness in global software stocks, indicating that the trigger was not company-specific but structural.

The immediate catalyst was the launch of Claude Sonnet 4.6, which Anthropic described as a major upgrade across coding ability, reasoning, computer interaction, and autonomous task execution. The model is being rolled out broadly to both free and paid users at unchanged pricing, signaling a push toward mass adoption rather than premium positioning. According to the company, the model can interact with legacy software environments in a manner similar to a human user—potentially reducing the need for custom integrations traditionally built by IT service providers.

Such capabilities directly touch core revenue streams for Indian firms, particularly application development, maintenance, system integration, and enterprise modernization. If AI tools can automate portions of coding, testing, and deployment, clients may demand lower billing rates or reduce outsourcing volumes over time. Investors therefore reacted not just to the product launch but to its implications for future pricing power.

Global technology majors also declined, reinforcing the perception of an industry-wide repricing of risk. Analysts cited uncertainty over which companies will emerge as winners in the AI transition and how quickly automation will affect labor-intensive services. For India, where IT exports account for a substantial share of services earnings and white-collar employment, such concerns carry macroeconomic implications as well.

The decline comes despite recent efforts by IT companies to position themselves as beneficiaries rather than victims of AI disruption. Infosys, for example, had recently announced a strategic partnership with Anthropic to integrate Claude models into its own AI platform offerings and to build domain-specific AI agents for industries such as telecom, financial services, and manufacturing. Company leadership has argued that enterprise-grade deployment requires deep domain expertise, regulatory understanding, and integration capabilities—areas where traditional service firms maintain an advantage.

Industry observers note that the market reaction reflects a broader debate about whether AI will reduce or expand technology spending. On one hand, automation could lower costs and compress margins. On the other, new technologies historically create fresh demand cycles, including system upgrades, data modernization, cybersecurity enhancements, and governance frameworks. Large enterprises typically require external partners to implement such transformations at scale.

Brokerage commentary suggests valuations had already corrected significantly due to AI concerns, placing many stocks in what some analysts describe as a “value” zone. However, persistent uncertainty keeps volatility elevated, especially as investors attempt to estimate long-term earnings trajectories in a rapidly evolving technological landscape. The IT index had already posted its worst weekly performance in nearly a year prior to the recent rebound.

From an Indian market perspective, IT stocks play a disproportionate role in index movements because of their high weightage and export orientation. Weakness in this sector can offset gains elsewhere, particularly during periods when domestic consumption or banking stocks are not providing strong support. Foreign institutional investors also hold substantial positions in IT companies, making the sector sensitive to global risk appetite and currency movements.

Looking ahead, the trajectory of Indian IT stocks will likely depend on evidence of sustained demand, pricing stability, and the ability of firms to monetize AI rather than merely absorb its cost pressures.