India's IT services sector is moving from hourly billing to performance-based contracts as AI reduces the need for human labor. Clients are demanding price cuts of up to 30%, which is putting pressure on profit margins. Investors are tracking how large firms manage this transition compared to agile mid-sized competitors.
The Indian IT services industry is undergoing a structural change as artificial intelligence (AI) forces a departure from the traditional model of charging clients by the hour. For decades, companies grew by adding more employees to handle more work. However, as AI tools automate repetitive tasks, clients are no longer willing to pay for time. They are instead demanding contracts tied to specific business outcomes, effectively forcing IT firms to do more work for less cost.
This shift is causing significant pressure on profit margins across the sector. Clients are increasingly asking for price reductions in the range of 25% to 30%. With AI enabling tasks to be completed much faster, major players like Tata Consultancy Services (TCS) and Infosys are restructuring their business models. At TCS, for example, about 80% of contracts in human resources and finance services have already transitioned to outcome-based measures. This means the IT firm's revenue is now linked to the value it provides, such as efficiency gains, rather than the number of hours its employees work.
While the industry is trying to adapt, this transition is not without risk. IT firms are facing revenue headwinds as legacy managed-services contracts shrink faster than new, AI-led projects can scale. This has led to increased market volatility in the Nifty IT index throughout 2026. Furthermore, companies are spending heavily to remain relevant. In the six months ending June 2026, IT firms deployed over $3 billion in acquisitions to buy AI, data, and platform-led capabilities, which can impact short-term cash flow.
Competition is also intensifying. Mid-sized firms like Persistent Systems and Coforge are proving to be more agile. By offering flexible pricing and faster AI-native solutions, these companies have managed to capture market share, often reporting double-digit revenue growth while larger, more established peers struggle to maintain their historical profitability levels.
For investors, this period brings specific risks to consider. Beyond margin compression, there is the risk of execution delays as companies struggle to convert total contract values into actual revenue. There is also potential for legal complexity regarding how business outcomes are measured and attributed under these new, non-standardized agreements. As companies move away from predictable, time-based billing, the ability to maintain consistent earnings quality will be a crucial factor. The next earnings reports will be important to see if these outcome-based deals are truly translating into improved profitability or if they are simply a strategy to prevent losing clients to cheaper, AI-native competitors.