July 4, 2026, (Inside AI) — Hiring for artificial intelligence roles in India's IT sector surged 16% year-on-year in June, even as overall IT recruitment slipped 3%, according to a new report from job portal Naukri. The data, drawn from over 150,000 firms, reveals a stark divergence driven by the industry's urgent pivot toward AI capabilities.
The findings come from Naukri's monthly JobSpeak report, released Friday. They underscore a fundamental restructuring of India's $315 billion IT services industry, which is grappling with cautious client spending and the disruptive force of generative AI. While traditional IT roles shrink, demand for AI and machine learning specialists is accelerating across sectors.
Hitesh Oberoi, CEO of Info Edge, which owns Naukri, framed the shift in stark terms. He said:
"The divergence (between AI and overall IT hiring) is important because it shows where tech companies are still investing. AI is increasingly becoming a core capability area, especially as demand shifts towards more senior and specialised talent."
The numbers paint a clear picture. Across 14 sectors tracked, AI and machine learning jobs jumped 25% in June compared to the previous year. Insurance and consumer goods showed the strongest hiring momentum, signaling that AI adoption is no longer confined to pure technology firms.
India's IT giants are publicly aligning with this trend. Tata Consultancy Services, the country's largest software exporter, recently indicated it expects overall hiring to slow as it moves toward a workforce balanced between humans and AI agents. Last July, TCS cut more than 12,000 jobs, and its net headcount fell by over 23,000 in the fiscal year ended March 2026.
This contraction mirrors a broader industry reckoning. For years, India's IT firms thrived on low-cost, high-volume application maintenance and business process outsourcing. Now, clients are freezing discretionary tech spending and demanding AI-driven efficiencies. In response, companies are reskilling existing employees and aggressively recruiting data scientists, ML engineers, and AI architects.
The Naukri report does not break down the specific AI roles in highest demand, but industry recruiters note a surge in positions requiring expertise in large language models, computer vision, and MLOps. Senior roles are particularly hot, as firms seek leaders who can design AI roadmaps, not just execute tasks.
Historical context sharpens the contrast. During the 2008 financial crisis, Indian IT hiring dipped but quickly rebounded as outsourcing demand soared. This time, the threat is structural. Automation is eating into the very services that built the industry. A 2025 study by the National Association of Software and Service Companies warned that 40% of existing IT jobs could be transformed or eliminated by AI within five years.
Yet the 16% rise in AI hiring suggests the industry is not simply shrinking—it is shape-shifting. Companies are betting that AI services will open new revenue streams, from custom model development to AI-augmented consulting. Infosys and Wipro have both announced large-scale internal AI training programs, aiming to certify hundreds of thousands of employees.
Critics, however, caution that the net employment effect remains uncertain. While AI specialist roles grow, they represent a fraction of total IT employment. The 3% decline in overall IT hiring translates to thousands of lost entry-level and mid-level positions, which have long been the backbone of India's engineering workforce.
The report also highlights a geographic dimension. AI hiring is concentrated in Bengaluru, Hyderabad, and Pune, while smaller IT hubs like Coimbatore and Jaipur see slower adoption. This could widen the skills and income gap between India's tech metros and tier-2 cities, where many engineering graduates reside.
Looking ahead, the trend is likely to intensify. India's government has launched initiatives to fund AI research and integrate AI education into university curricula. But the immediate challenge for the IT sector is managing the transition without leaving behind a generation of workers trained for legacy roles.
