Indian IT giants like TCS, Infosys, Wipro, and Tech Mahindra are shifting from back-office automation to the deployment layer of enterprise AI to make AI profitable at scale.

Analysts warn of a consulting muscle gap as clients seek upstream advisory and agenda-setting capabilities once provided by firms like Accenture, Deloitte, and McKinsey.

Large pilots often stumble due to integration flaws and data/technology debt, creating an opportunity for Indian firms to operate inside messy enterprise environments with deep process, data, and cultural legacies.

Partnerships with AI leaders such as Google Cloud, Nvidia, OpenAI, and Microsoft (for TCS) and Anthropic and OpenAI (for Infosys) are central to delivering end-to-end AI deployments.

Infosys projects the AI services market could reach $300–$400 billion by 2030, highlighting the potential scale of AI-enabled enterprise services.

These firms aim to capitalize on deep client relationships and vast enterprise experience to deploy AI across complex environments, potentially reshaping profit distribution in the AI boom.

India’s AI deployment pivot carries risks: if agents replace many offshore workers, it could threaten legacy revenue streams and weigh on Indian IT stock performance.

The move pits Indian IT firms against American consulting giants, expanding their role to guide technology choices, redesign workflows, govern AI behavior, and tie outcomes to business metrics.

TCS, Infosys, and others report growing AI services revenue, with TCS at more than $2.3 billion annualized in Q1 2026 (about 7.5% of total revenue) and Infosys AI services at about 5.5% of quarterly revenue by late 2025, while Tech Mahindra sees broad AI demand across sectors.