Infosys shares gained over 3% in Tuesday's trading session, emerging as the top performer in the Indian IT sector. This recovery follows a strategic collaboration with Anthropic, a leader in AI safety and research, aimed at deploying advanced agentic AI solutions for global enterprises. The partnership centers on integrating Anthropic’s Claude models, including Claude Code, with the Infosys Topaz platform. This synergy focuses on "agentic AI"—intelligent systems designed to handle multi-step, complex workflows independently rather than providing simple automated responses. Key developments include the launch of a dedicated Anthropic Center of Excellence. This facility will first address industry-specific needs in the telecommunications sector before expanding into financial services, manufacturing, and software development. The market response comes after a period of significant volatility for the sector. The Nifty IT index rose 2.3% today, recovering ground after a sharp 15% decline over the past month. Investors have recently been concerned about structural disruptions in the traditional IT services model, particularly as AI-native tools potentially lower entry barriers for software development. UBS and other major brokerages noted that while valuations in the IT space have corrected meaningfully—now trading at roughly 12–39% discounts to five-year averages—the shift toward becoming "AI orchestrators" remains critical. The Anthropic deal is seen as a pivotal move to modernize legacy systems and accelerate software delivery. Infosys is already utilizing Claude Code within its own engineering units to refine best practices for client adoption. Market data as of February 17, 2026, highlights a broader recovery in tech sentiment. Following a sell-off that erased over $47 billion in market capitalization from Indian software exporters earlier this month, the sector is showing resilience. Current indicators reflect a Nifty IT P/E ratio of approximately 23.2, with analysts suggesting that the most pessimistic disruption scenarios may already be reflected in current pricing. The collaboration aims to transform how businesses handle regulated operations like compliance reviews and risk assessment. By combining engineering scale with frontier AI, the partnership intends to bridge the gap between experimental AI demos and stable, enterprise-grade production environments.