India's IT giants face revenue declines due to challenges like corporations establishing their own global capability centers in the country and the rise of AI
Manish Singh / India Dispatch :
Context & Ripple Effects
India’s major IT providers were already confronting a steep slowdown at TCS, Infosys and Wipro amid economic and geopolitical pressure. This report identifies two more durable pressures on their revenue model: clients building delivery capacity in India themselves and AI reshaping service demand.
The significance is not simply weaker demand. Global capability centers can move work from vendors to captive teams, while AI challenges the labor-intensive delivery model that underpinned much of the sector’s growth.
First-order effects
- Indian IT providers face more immediate revenue pressure as corporate global capability centers bring a larger share of technology work in-house in India.
- AI raises pressure on vendors’ existing delivery work and makes it more important to sell services tied to implementation, integration, and client-specific systems rather than routine execution.
Second-order effects
- IT firms will have to compete more directly with captive centers for client budgets and skilled workers, while differentiating on specialized capabilities rather than scale alone.
- The service mix is likely to move toward the preparatory work highlighted in coverage of the sector’s GenAI response, including data cleanup and system integration, as clients deploy AI tools.
Third-order effects
- If captive-center expansion and AI adoption persist, India’s IT-services industry could shift from a labor-arbitrage model toward a more fragmented market centered on higher-value transformation and managed AI work.
- The eventual scale of AI-driven price deflation remains uncertain, but the combined pressures make sustained export-led growth less dependent on adding conventional delivery capacity.
The trend: India’s IT sector is moving from outsourced, labor-intensive delivery toward AI-enabled and client-owned technology operations, with value concentrating in specialized implementation work.