TCS, Infosys, and HCLTech are now sharing specific AI revenue figures to show progress. While AI-related business is growing, it is not yet driving total revenue growth due to weak client spending. Investors are watching to see if AI efficiencies translate into profits or get lost to client demands for lower prices.
Indian IT services companies are increasingly reporting specific revenue figures related to Artificial Intelligence (AI) to address investor questions about the return on their heavy technology investments. In the latest quarter, major players provided a breakdown of AI contribution to their business, aiming to move beyond broad promises of capability to showing concrete commercial gains.
Tata Consultancy Services (TCS) reported an annualized AI revenue run rate of $2.6 billion for Q1 FY27, up 13.6% sequentially. Infosys noted that AI-led services accounted for 8.2% of its total revenue, while HCLTech reported $171 million in AI-led revenue, marking a 62.1% year-on-year increase. These numbers show that clients are indeed spending money on AI integration and modernizing their data systems.
However, these figures do not fully represent the overall health of the IT sector. While AI revenue is rising, total revenue growth for large IT companies remains muted. The sector continues to face hurdles from weak discretionary technology spending, where clients remain cautious about big-ticket projects due to global economic uncertainty.
One of the most important aspects for investors to monitor is the impact of AI on profit margins. While AI tools are helping companies work faster and automate routine tasks—thereby protecting operating margins at a healthy 22-23%—this efficiency has a secondary effect: pricing pressure. Because the work is being done faster or with fewer people, clients are increasingly asking for lower service costs. This makes it difficult for IT firms to achieve significant expansion in profit margins, as they must balance client demands for lower prices against the high costs of training employees and building expensive infrastructure.
Furthermore, the competitive environment is intensifying. Global Capability Centres (GCCs)—in-house technology units set up by multinational firms—are becoming more capable, adding to the competition for IT service providers. IT firms are also spending significantly on talent acquisition and advanced computing technology to remain relevant. This cycle of heavy investment is necessary to maintain their position, but it also creates a short-term cap on how much these AI initiatives can boost the bottom line.
For investors, the key monitorable is not just the growth rate of AI revenue, but the ability of these companies to convert new deal wins into actual revenue and defend their pricing power. As the sector moves forward, the ability to offer outcome-based pricing—where the client pays for the value delivered rather than just the time spent—will be critical to seeing if AI can shift from a margin protector to a true driver of future profit growth.