India’s tech workforce, long celebrated as the world’s back office, is getting a reality check. Multinational companies operating through Global Capability Centres (GCCs) in India have slashed hiring plans by 30% to 50% as artificial intelligence reshapes what kind of work actually requires a human being.

Large GCCs that previously employed upward of 5,000 people are downsizing to around 2,000.

The numbers tell a stark story

Tata Consultancy Services, India’s largest IT employer, plans to hire 25,000 fresh graduates in its current cycle, down from an average of 40,000 hires per year in recent cycles. That’s a 37.5% reduction in entry-level recruitment from the country’s bellwether tech firm.

This follows an even more painful data point: TCS cut roughly 12,000 jobs in 2025.

The top five Indian IT firms experienced a net hiring decrease of approximately 7,000 positions in the financial year ending March 2026.

Oracle executed an estimated 10,000 layoffs in India as it pivoted resources toward AI infrastructure investments. Cognizant launched “Project Leap,” an AI transformation initiative that includes workforce reskilling but also potential layoffs affecting up to 4,000 roles.

What’s actually happening under the hood

The traditional Indian IT model was built on labor arbitrage. Western companies outsourced work to India because skilled engineers cost a fraction of their US or European counterparts. AI flips that equation. When a large language model can handle code reviews, customer support scripts, or data processing tasks that previously required teams of junior developers, the cost advantage of hiring thousands of graduates erodes quickly.

The demand has shifted from volume to specialization. Roles in AI, machine learning, data analytics, and cloud computing remain hot. The problem is that these specialized positions number in the thousands, not the hundreds of thousands that India’s education system produces each year.

India graduates over 1 million engineers annually. The traditional pipeline, where a significant chunk of those graduates flowed into IT services companies for training and deployment, is narrowing at exactly the wrong time.

What this means for investors

Cognizant’s Project Leap is worth watching as a case study. If the company successfully reskills a meaningful portion of its workforce while trimming redundant roles, it could emerge leaner and more profitable. If the transition stumbles, those 4,000 potential layoffs become a cost center rather than a strategic move, with severance expenses and institutional knowledge walking out the door simultaneously.

Oracle’s approach, cutting 10,000 roles to fund AI infrastructure, represents the more aggressive end of the spectrum. Investors should track whether Oracle’s India operations maintain or grow revenue despite the dramatic headcount reduction.

The 30% to 50% hiring cuts aren’t driven solely by AI adoption. Geopolitical uncertainty is pushing some multinationals to diversify their operational footprint away from concentrated India-based centers, creating a dual pressure from automation and geographic diversification.