India’s IT services sector is undergoing one of the most significant transformations in its history, as artificial intelligence reshapes how outsourcing contracts are priced, negotiated, and delivered. Major players such as Tata Consultancy Services, Infosys, Wipro, HCLTech, and Cognizant are restructuring their business models, increasingly linking fees to measurable performance outcomes rather than the number of hours billed. This shift comes as clients across the world demand steep price cuts alongside greater productivity, forcing the industry to rethink decades-old commercial practices.
Industry executives report that some work is being lost entirely, as customers use AI tools to bring tasks in-house rather than outsourcing them. At the same time, uncertainty surrounding the pace and scale of AI adoption has led to shorter contract terms, replacing the long, multi-year agreements that once defined the sector. The size of a company’s workforce, once a competitive advantage in winning large contracts, has become less relevant as AI automates routine tasks, levelling the playing field for smaller and mid-sized rivals eager to capture market share.
AI-driven Contracts Move Toward Outcome-based Pricing
Pricing structures across India’s IT services sector are increasingly tied to measurable business outcomes instead of billable hours. Tata Consultancy Services has confirmed that roughly 80 percent of its contracts within finance, human resources, and other business services segments now rely on outcome-based performance measures, a figure that has reportedly doubled since AI adoption accelerated in late 2023.
Other examples illustrate how deeply this change has taken hold. An AI and automation agreement between Cognizant and Daimler Truck, signed in February, stipulates that cost savings generated through AI would be shared between the vendor and the client. Cognizant has acknowledged that client expectations are shifting fundamentally, with customers now seeking more value and measurable results rather than simply paying for time worked.
A separate multiyear cloud management agreement between HCLTech and German utility E.ON, finalised in June 2025, was structured so that HCLTech would not receive payment during the first year, with subsequent payments tied to efficiency gains and specific business outcomes. Such arrangements reflect a broader recalibration of risk, with vendors increasingly required to prove value before collecting fees.
Clients Push Indian IT Companies for Greater Efficiency
As AI drives productivity gains across the industry, clients have become more assertive in demanding better value for lower cost. Persistent Systems has reported that its clients are seeking the same scope of work for 25 to 30 percent less, while simultaneously expecting faster delivery and improved productivity. Despite this pressure, the company noted that AI has also helped it secure larger contracts than it might previously have won, suggesting that scale is no longer defined solely by revenue.
Competition from mid-sized firms within the IT outsourcing industry has intensified considerably. Many clients now prioritise rapid development of pilot programmes, and smaller providers have been able to secure mandates by deploying senior talent quickly and offering more flexible pricing structures. Persistent Systems and Coforge, another mid-sized provider, have both posted double-digit dollar revenue growth for at least eight consecutive quarters. In the April to June period, Persistent’s revenue rose 16 percent, while Coforge’s sales increased by a third. By comparison, Tata Consultancy Services, Infosys, Wipro, and HCLTech recorded more subdued growth of between 1 and 3 percent over the same period.
Concerns Over Aggressive Bidding Practices
As competitive pressure builds, some firms have been accused of taking on excessive risk to win business. Tech Mahindra has warned that certain rivals are factoring in productivity gains of 70 to 80 percent over five to seven years while guaranteeing fixed prices, even as chip costs continue to rise. The company has stated that it has chosen not to pursue such arrangements, citing concerns about their long-term sustainability.
Infosys has also disclosed that it walked away from contracts it deemed no longer economically viable, underscoring the difficult balance Indian IT companies must strike between remaining competitive and protecting profitability. Tata Consultancy Services has indicated that it has so far managed to offset AI-related downward pressure on revenue by securing new work, though the company has acknowledged that the pace of this offset will determine future growth.
A Structural Shift in Hiring and Workforce Strategy
Beyond pricing, artificial intelligence is reshaping workforce strategy across India’s IT services sector. Tata Consultancy Services remains the only major Indian provider to have announced large-scale layoffs during the current AI era, cutting more than 12,000 jobs last year. Several companies have signalled that their traditional role as major recruiters of entry-level engineers may be diminishing, as coding tasks once performed by junior staff are increasingly handled by AI-enabled tools.
Industry observers describe this as the end of the traditional pyramid staffing model that long defined Indian IT companies, in which a broad base of junior engineers supported a smaller number of senior staff. With coding agents now capable of handling basic programming tasks, the demand for large-scale entry-level hiring is expected to decline, pushing firms toward smaller, more specialised teams built around higher-value skills.
Conclusion
The transformation underway in India’s IT services sector reflects a broader reordering of global technology services, where value is increasingly measured by outcomes rather than effort. As outcome-based pricing becomes standard and AI-driven contracts reshape client expectations, Indian IT companies face mounting pressure to balance competitiveness with financial discipline. How the sector adapts to this new landscape, both commercially and in terms of workforce strategy, is likely to determine which firms emerge stronger from this period of disruption.
Published in SouthAsianDesk, August 22nd, 2026
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