Artificial Intelligence and Future of India's IT Companies

The future of India's software industry will depend on its ability to move beyond a labour-intensive outsourcing model and capture value from Artificial Intelligence (AI)-driven innovation. While IT companies using AI primarily for cost reduction may face slower growth, those developing AI-enabled products, platforms and services are likely to sustain stronger valuations and competitiveness.

For nearly three decades, Indian software companies have been among the most successful wealth creators in the stock market. Firms such as Tata Consultancy Services (TCS), Infosys, HCLTech, Wipro and Tech Mahindra transformed India's comparative advantage in skilled labour into a globally competitive software-export industry. Their business model—delivering software services through large-scale deployment of engineers—generated sustained revenue growth, strong profitability and premium stock market valuations.

The emergence of AI, however, poses a structural challenge to this model. Investors are increasingly questioning whether the traditional relationship between employment growth and revenue growth can be sustained when coding, testing, maintenance and documentation are increasingly automated.

The Indian IT services model has historically been labour intensive. Revenue growth was achieved largely through expansion in workforce size and deployment on client projects. Generative AI tools now automate several routine tasks, including programming, software testing, documentation and customer support. Consequently, the demand for entry-level programmers and support staff may moderate. According to a recent study, AI already performs 37% of entry-level tasks in India, compared to a global average of 33% (Cognizant and Pearson 2026). The study further reports that 18% of surveyed organisations indicated that AI undertakes at least half of their entry-level work. India's AI ecosystem has expanded rapidly over the past decade. NASSCOM estimates that India is home to more than 2,000 AI-focused startups, making it one of the largest AI startup ecosystems globally (NASSCOM 2024). AI-driven firms have emerged in financial technology, healthcare diagnostics, language technologies, educational platforms, cybersecurity, and enterprise solutions. The growth of digital payments, e-commerce, cloud services, and government digital platforms has created significant demand for AI-enabled solutions.

These developments have implications for stock market valuations. Historically, investors valued Indian software firms on the expectation that workforce expansion would translate into higher revenues. AI weakens this relationship. If productivity gains allow clients to demand lower prices or fewer billable hours, revenue growth may slow even when profit margins remain healthy. As a result, markets are increasingly differentiating between firms that use AI primarily to improve efficiency and those capable of generating new AI-based revenue streams.

Recent stock market trends reveal increasing investor caution towards the traditional IT-services model. Although TCS, Infosys and HCLTech continue to report strong profitability and maintain robust balance sheets, their market valuations have weakened. TCS's market capitalisation increased from about ₹14.8 trillion in 2021 to a peak of around ₹15.2 trillion in 2024 before declining sharply to below ₹8 trillion by mid-2026. Infosys followed a similar trajectory, with market capitalisation rising from about ₹7.9 trillion in 2021 to ₹8 trillion in 2024 before falling to around ₹4.3 trillion in 2026. HCLTech's valuation increased from ₹3.6 trillion in 2021 to more than ₹5 trillion in 2024, but subsequently declined to nearly ₹3 trillion by mid-2026. These developments suggest that investors are placing greater emphasis on future growth prospects than on current profitability, particularly in the context of AI-induced changes to the labour-arbitrage model that historically underpinned the Indian IT industry.

At the same time, investors have shown growing interest in firms with stronger exposure to cloud computing, digital engineering and AI-enabled services. Between 2021 and 2025, the market capitalisation of Persistent Systems increased from about ₹375 billion to ₹936 billion, while that of Coforge rose from ₹359 billion to ₹557 billion. LTIMindtree's market capitalisation increased from around ₹1.3 trillion to ₹1.67 trillion during the same period (NSE, various years). These firms are not frontier AI developers in the manner of specialised AI start-ups such as Sarvam AI, Krutrim or Yellow.ai. Their advantage lies in the ability to commercialise AI through enterprise applications, cloud migration and digital-transformation services. Market valuations increasingly appear to reward technological adaptability rather than firm size alone.

However, predictions of large-scale job losses and the decline of the Indian IT industry appear premature. Available evidence suggests that AI has thus far reduced hiring at the entry level rather than triggering widespread layoffs. Demand for workers possessing AI-related skills, domain expertise and advanced software capabilities remain strong. An ICRIER survey of 651 IT firms across 10 Indian cities found that generative AI adoption has primarily resulted in productivity gains through higher output, improved quality, and time and cost savings, while employment effects remain concentrated in entry-level recruitment (Mishra et al 2026).

The industry is also adapting rapidly to the technological transition. Nasscom (2026) estimates that AI-related revenues reached approximately US$10–12 billion in FY2025–26, reflecting the growing commercialisation of AI solutions. New technology contracts increasingly incorporate AI, automation and data analytics components, signalling a gradual shift from traditional outsourcing towards outcome-based digital-transformation services.

The employment effects of this transition are likely to be uneven. While recruitment of fresh graduates may slow, demand for specialised skills in AI, machine learning, cybersecurity, cloud computing and data analytics is expected to increase. The Nasscom–Indeed Future of Work report notes that between 20% and 40% of work across technology organisations is already supported by AI-enabled systems (Nasscom and Indeed 2026). The report further indicates that AI-assisted software development has become widespread, underscoring the growing importance of workforce reskilling and human–AI collaboration. Nearly 97% of HR leaders expect AI to become an integral collaborator in workplace processes by 2027, fundamentally reshaping how work is organised and performed.

For investors, the central question is whether Indian software companies can successfully transition from a labour-based outsourcing model to an innovation-driven AI model. Firms that deploy AI primarily to reduce costs may experience slower revenue growth and weaker valuation gains. By contrast, firms that develop AI-enabled platforms, consulting services and enterprise solutions may be better positioned to sustain growth and command valuation premiums.

The future of India's software industry will therefore depend less on the number of engineers employed and more on the capacity of firms to capture value from AI-driven technological change. In this sense, AI represents both a challenge to the traditional IT services model and a potential source of renewed growth for the sector.