AI hiring in India jumps 59.5% YoY as IT majors, GCCs step up talent push

India’s technology hiring landscape is pivoting toward specialised skills, with AI engineering job postings rising 59.5% year-on-year in 2026—the fastest among major global markets—according to LinkedIn. The surge comes even as overall hiring remains subdued, reinforcing a broader shift visible in recent earnings: from volume-led expansion to capability-driven demand.

IT firms flag AI-led demand in Q4

Top IT companies such as Infosys, Tata Consultancy Services, and HCLTech reported stable Q4 performance, with executives highlighting deal pipelines in AI and digital transformation.

Hiring, however, remains selective, with reports underscoring the broader slowdown in traditional tech hiring.  Instead, companies are prioritising engineers who can deploy AI at scale. In a TechCircle analysis published in January, Sachin Alug, CEO at staffing firm NLB Services, highlighted that enterprises are “redesigning teams for product development, data stewardship, and model operations,” signalling a shift toward high-value engineering roles.

GCCs intensify competition for AI talent

Global capability centres (GCCs) are emerging as aggressive recruiters, expanding India teams for AI-led product engineering and enterprise automation. This is intensifying competition for specialised talent. However, supply remains constrained. A recent report by staffing firm Quess flagged a 38%–42% gap in AI and data talent, now the biggest bottleneck for GCC growth.

Hiring spreads beyond top metros

While Bengaluru continues to anchor India’s AI ecosystem, hiring is expanding geographically. Hyderabad recorded 51% growth, while emerging cities such as Vijayawada saw a 45.5% rise, reflecting a broader distribution of opportunities.
This aligns with a wider industry reset, where distributed teams and hybrid work are enabling companies to tap talent beyond traditional hubs.

Applied AI skills take centre stage

The LinkedIn report further points to rising demand for execution-focused skills such as AI agents, AI productivity tools, and platforms like Azure AI Studio—capabilities tied directly to real-world deployment.

Industry voices echo this shift. “Everyone wants to use AI… few know how to build with it,” noted Rakesh Ravuri, CTO & SVP – Engineering at Publicis Sapient, highlighting a widening gap between ambition and capability in enterprise adoption.

The data and earnings commentary point to a deeper transformation – bulk hiring is giving way to targeted recruitment, with AI, data, and cloud skills at the core. As Ravuri noted, when AI adoption accelerates, the defining challenge for India’s tech workforce is no longer access to jobs—but readiness to build for an AI-first economy.