The Nasscom US CEO Forum notes that enterprises must translate AI capability into production value through data readiness, workflow redesign, secure deployment, governance, and change management, an area where Indian firms have deep experience.

India’s tech services sector is well positioned for this transition with global delivery capabilities, a large AI-skilled workforce, strong enterprise tech expertise, and a budding ecosystem of AI platforms and startups.

Business process services are set to shift from routine transaction processing to intelligent operations, with humans focusing on supervision, exception handling, analytics, and decision support as AI handles repetitive tasks.

In the AI era, business process services will move toward intelligence-led operations, placing greater emphasis on supervision, analytics, exception handling, and decision support.

The evolution of business process services will reduce routine tasks, redirecting human effort to supervision and analytics as AI automates repetitive work.

Agentic AI platforms are now used by about 85% of technology service providers, with Nasscom projecting an additional $300-400 billion in addressable spend by 2030 driven by AI across legacy modernization, AI operations, cybersecurity, and governance.

India’s AI services workforce exceeds 2 million professionals, with 100,000 to 200,000 trained in advanced AI capabilities.

Industry leaders expect the next AI phase to hinge on converting capability into production value via data readiness, workflow redesign, secure deployment, governance, and change management, leveraging Indian tech services’ experience and leadership potential.

Note: The update is a syndicated agency feed and has not undergone editor review.

Overall, growth will come from platforms, proprietary assets, domain expertise, and outcome-based delivery, signaling a new growth model for the industry.

Future sector growth will rely more on platforms, domain solutions, proprietary assets, and outcome-based delivery rather than linear headcount expansion.

There is a fundamental shift in growth dynamics: expansion will favor platforms, domain expertise, proprietary assets, and outcome-based models over adding headcount.