A new Nasscom report has flagged a quiet problem inside India's booming tech industry. Young engineers are using AI tools constantly. But their grip on core engineering fundamentals is weakening at the same time.

The report studied final year engineering students and early career professionals. It found that most of them use AI in daily work, learning, and decision making already.

The Gap Between AI Skilled And AI Native

Nasscom's research draws a sharp line between two groups. AI proficient workers know how to use AI tools effectively for tasks. AI native workers understand the systems well enough to guide and correct them.

Around 68 percent of early career talent falls into the AI proficient category. Only 23 percent reach the AI native level, according to the report.

Why This Distinction Actually Matters

Being AI proficient means you can prompt a tool and accept its output. Being AI native means you can judge whether that output is actually correct. That judgment depends on real technical depth.

Sangeeta Gupta, Nasscom's Chief Strategy Officer, warned that AI skills alone don't create an AI native workforce. Without stronger fundamentals, India risks building talent that depends on AI rather than truly understanding it.

Where The Skill Gaps Are Widening

The report identified specific weak spots across engineering talent. AI orchestration, the ability to coordinate multiple AI systems effectively, showed a clear gap. Technical grounding, the deep understanding beneath the tools, showed one too.

These aren't small gaps. They represent the exact skills that separate a senior engineer from someone who simply follows AI generated instructions.

What Academia And Industry Need To Change

Nasscom's report calls for action on two fronts. Educational institutions need to move beyond basic coding classes. They should focus more on engineering fundamentals, domain expertise, and stronger assessment methods.

Companies also carry responsibility here. Onboarding and mentorship programs need redesigning so new hires build real problem solving skills, not just tool fluency.

The Bigger Picture For India's Tech Future

India has real potential to become a global hub for AI native talent, the report suggests. But that potential depends on deliberate action now, not just widespread AI adoption.

Without a clear framework to measure and build these deeper skills, the gap between AI usage and AI mastery could keep widening across the industry.

Frequently Asked Questions

Q: What is the difference between AI proficient and AI native talent?

AI proficient workers can use AI tools well. AI native workers understand the underlying systems deeply enough to judge, correct, and guide AI output.

Q: What percentage of Indian engineering graduates are AI native?

According to Nasscom's report, about 23 percent of early career tech talent qualifies as AI native, while 68 percent are AI proficient.

Q: Why is engineering judgment important in the AI era?

Engineering judgment helps professionals evaluate whether AI generated solutions are actually correct, safe, and appropriate for the problem at hand.

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