New AI Models Heighten Pressure on Indian IT Firms
India's IT sector saw a downturn on April 9, 2026, as the Nifty IT index dipped about 1% in early trading. The pressure grew after Anthropic previewed its 'Mythos' AI model, said to outperform previous versions like Claude Opus in coding and cybersecurity. This suggests AI could soon automate more complex tasks handled by IT service providers, sparking worries about future revenue and business models.
Major IT companies experienced drops, with Infosys, LTI Mindtree, and Coforge falling about 2%. Oracle Financial Services Software, Tech Mahindra, and HCL Tech decreased by 1%, while Persistent Systems, Wipro, and Mphasis also traded lower. This widespread selling highlights how sensitive the market is to AI developments that could disrupt services like manual testing and cybersecurity assessments.
'Mythos' AI: A New Challenge for IT Services
Anthropic's 'Mythos' model marks a major advancement, reportedly excelling at finding and fixing cybersecurity flaws better than humans and current tools. This comes after the 'Opus' model's release in February 2026, which had already worried tech investors. Motilal Oswal noted that 'Mythos' extends AI into coding, ERP, and cybersecurity, potentially reducing the effort needed for key IT services. Its limited rollout under 'Project Glasswing' indicates its development for critical business uses.
Even with complex legacy systems requiring integration help, advanced AI like Mythos represents a fundamental change. The risk isn't just automating tasks, but potentially cutting out traditional IT providers if they don't offer AI-boosted solutions and strategic integration for these complicated systems. Disintermediation means removing the middleman, which IT firms could become if they don't adapt.
TCS Earnings Report Amidst Sector Fears
As the IT sector faces this pressure, Tata Consultancy Services (TCS), India's largest IT firm, is due to report its Q4 fiscal year 2026 results today. Analysts expect modest revenue growth and a solid jump in operating profit, with EBIT margins possibly steady or slightly up from currency benefits and cost controls. TCS has a market value of about ₹9.26 trillion and a P/E ratio near 18.1, trading lower than the wider IT sector's average P/E of 22.4.
Analysts generally feel positive about TCS, with many recommending 'Buy' and an average target price of ₹3,093, suggesting good potential for stock growth. Investors will be watching the earnings call for details on TCS's AI strategy, its deal pipeline (expected between $7 billion and $10 billion), performance in areas like BFSI, and its margin forecast amid tough competition. How TCS handles AI changes and shows strong growth will be key for the whole IT sector's outlook.
Rival IT Firms and Sector View
Rival companies are also under review. Infosys, valued at about ₹5.3 trillion with a P/E of ~18, has mixed analyst ratings; Nirmal Bang suggests 'Buy' with a ₹1,746 target, while others rate it 'Hold'. Wipro's P/E is around 16.7, and HCL Technologies trades at a higher P/E of about 23.75, with a market cap near ₹3.9 trillion.
The overall Indian IT sector's valuations corrected in 2025. AI is expected to cause deflationary pressures, potentially reducing traditional IT services revenue by 2-3% yearly. However, the sector could see an added market opportunity (TAM) of $300-400 billion by 2030 from AI services. While AI creates new jobs, the shift risks displacing workers in older roles and requires a strategic move to AI-enhanced delivery methods.
AI's Impact on IT Services: Challenges Ahead
Advanced AI models like Mythos significantly challenge traditional IT service models. AI could automate coding, testing, and cybersecurity tasks, leading to lower profit margins and less demand for manual work. Motilal Oswal notes that while integrating AI into large enterprises with old systems is complex, AI will likely handle these tasks more efficiently long-term.
Firms that don't adapt their business models to offer AI insights, integration skills, and strategic advice risk losing ground to quicker rivals or AI-first solutions. The industry also faces a 'productivity paradox': AI efficiency might not boost revenue if clients pay for fewer working hours. Relying heavily on big deals needs to be seen alongside changing service delivery methods. Although TCS has won large contracts and holds a strong market position, how quickly AI is adopted and its effect on demand for old services are key unknowns for the sector. The steep investor pullback in February 2026, when the Nifty IT index dropped 19.5%, shows how sensitive the market is to these disruptive AI trends.
Adapting to AI: The Path Forward
The IT sector's future depends on integrating advanced AI into its services, shifting from basic task execution to becoming strategic partners in AI-driven digital changes. Expected growth in AI services points to a larger market, creating new chances as older roles change. Companies skilled in using AI for complex problems, better cybersecurity, and smooth integration into various systems are set for long-term growth. The market will closely observe how TCS and others present their AI strategies and prove real business value beyond just efficiency, as the industry handles this major technological change.