Nasscom has warned that 20–25% of Indian IT firms may struggle to pivot from traditional staffing models to AI-driven services. As revenue growth decouples from headcount, the industry faces a shift toward outcome-based billing, creating uncertainty for investors regarding margins and long-term scalability.
The Indian technology services sector is undergoing a fundamental business model transition that could reshape the competitive landscape. Rajesh Nambiar, President of the National Association of Software and Services Companies (Nasscom), has cautioned that roughly 20% to 25% of IT companies face significant challenges in moving away from traditional models. These firms, which rely heavily on labor arbitrage—charging clients based on the number of staff deployed—may struggle to compete as the industry pivots toward artificial intelligence, automation, and productivity-focused services.
Revenue Decoupling From Headcount
The most significant indicator of this shift is a clear divergence between revenue and hiring. Historical trends in the Indian IT sector relied on a linear relationship: to grow revenue, companies had to increase headcount. Recent data suggests this pattern has broken. Industry revenue grew by approximately 6.1% in the latest period, while employee headcount increased by only 2.3%.
For investors, this decoupling is a critical change. It indicates that revenue growth is no longer solely driven by adding more people. Instead, companies are increasingly using AI and automation to deliver services. While this can potentially improve efficiency, it also signals the end of the traditional 'staff augmentation' business model that supported the profitability of many firms for decades.
The Shift to Outcome-Based Models
The move toward 'outcome-based' services is the primary driver of this disruption. In this new model, vendors are paid for the business value or results they deliver rather than the number of hours or employees allocated to a project. This transition poses a structural risk to companies that have not yet moved their AI experiments into production-level enterprise environments. Firms that fail to pivot may find their services commoditized as AI tools replace repetitive manual tasks, putting intense pressure on profit margins.
Investor Context and Market Volatility
Indian IT stocks have experienced notable volatility throughout 2026, driven largely by investor anxiety over this structural change. Markets are currently scrutinizing technology companies for their ability to maintain margins while navigating a period of cautious discretionary spending by global clients. The concern is not merely about near-term demand but whether the current business models of many mid-to-large IT firms can remain relevant in an 'AI-native' world.
Investors are watching how different companies handle this transformation. Mid-sized and larger firms with existing AI investments appear better positioned to capture this market, which is estimated to generate significant annual revenue from AI-related services. However, the path to implementation involves high integration risks and operational complexity.
The next important monitorables for shareholders include the evolution of operating margins, the stability of client contracts, and the effectiveness of management teams in scaling AI-based solutions. As the industry moves away from the traditional headcount-based growth model, market participants will likely focus on whether companies can achieve profitable growth through technology-led productivity rather than human capital expansion.