Nasscom on Tuesday, 14 July released a landmark report warning that India's early-career technology workforce, while increasingly AI-proficient, risks becoming AI-reliant rather than truly AI-native without urgent structural reforms in education and industry onboarding. The report, titled 'The State of AI-Native Talent in India: Decoding the Readiness of India's Early-Career Technology Workforce,' introduces the Nasscom AI-Native Talent Index — a structured industry benchmark designed to measure AI-native capabilities across India's emerging tech workforce.

Key Findings from the Index

According to the study, nearly 70 per cent of India's early-career technology professionals are AI-proficient, yet only around 23 per cent qualify as genuinely AI-native. The distinction is significant: AI proficiency implies familiarity with tools and workflows, while AI-nativeness demands deeper engineering judgment, independent problem-solving, and the ability to orchestrate AI systems rather than merely operate them.

The findings indicate that young professionals are increasingly weaving artificial intelligence into their day-to-day work, learning cycles, and decision-making — but the report flags a persistent gap in engineering fundamentals, AI orchestration capabilities, and technical depth that could undermine India's long-term competitiveness.

What Nasscom Said

Sangeeta Gupta, Senior Vice President and Chief Strategy Officer at Nasscom, said India holds a unique structural advantage in the global AI talent race, but cautioned that surface-level AI skills penetration should not be mistaken for genuine AI-nativeness.

'India is uniquely positioned to emerge as a global hub for AI-native technology talent. It is important to keep in mind that AI skills penetration is not the same as being AI-native. Without a rigorous measurement framework such as the AI-Native Talent Index followed by action, India risks scaling a workforce that is AI-reliant rather than AI-native,' Gupta said.

She further stressed that both academia and industry must act in tandem: 'Academia must strengthen fundamentals, while industry must redesign onboarding and mentorship to ensure that the decline of routine work does not lead to a decline in deep engineering expertise.'

The Risk of Automation Without Depth

The report highlights a structural paradox: while AI is demonstrably improving productivity, accelerating learning curves, and enhancing workplace output, it is simultaneously reducing the volume of routine engineering tasks through which earlier generations built technical intuition. Organisations and educational institutions, the report argues, must consciously create opportunities for engineers to develop the kind of hands-on, independent problem-solving that automation is quietly eroding.

This comes amid a broader global debate about whether AI tools are augmenting human expertise or substituting for it — a question with especially high stakes for a country whose technology sector employs millions and anchors a significant portion of export earnings.

Recommendations and the Road Ahead

The Nasscom report calls for a coordinated response from both academia and industry. Educational institutions are urged to move beyond conventional coding curricula and invest in engineering fundamentals, domain expertise, and more rigorous assessment frameworks. Industry, for its part, is asked to rethink how it onboards and mentors early-career engineers in an AI-augmented environment.

Notably, the AI-Native Talent Index itself is positioned not merely as a diagnostic tool but as a call to action — a framework that, if adopted widely, could help benchmark and close the gap between AI proficiency and AI-nativeness across India's technology workforce. Whether industry bodies and universities move quickly enough to act on these recommendations will determine if India converts its demographic and digital advantage into durable global leadership in AI.