India’s GCC boom is still alive and well. However, something important has changed. For years, success was measured in headcount. Every new GCC announcement came with promises of thousands of jobs, larger campuses, and expanding teams. Today, companies are asking a different question. Not “How many people do we need?” but “What skills do we actually need?” That shift is quietly transforming India’s technology job market.

Breakdown

India’s Global Capability Centres have spent years moving up the value chain. What started as support functions and shared services gradually evolved into engineering hubs, product centres, and innovation teams. Now, many GCCs are becoming AI-driven organisations. As a result, the nature of hiring is changing.

The scale is already large. India now hosts more than 2,100 GCCs, employing around 2.36 million professionals and generating close to $100 billion in annual revenue. By 2030, the sector could grow to around 2,500 GCCs and 3.5 million employees. However, the more important shift is not the number of centres. It is the kind of talent they are chasing.

Industry reports suggest that GCCs added nearly 200,000 net employees in FY26, compared with around 110,000 added by traditional IT services firms. That gap matters because it shows where specialised technology hiring is moving. GCCs are becoming stronger magnets for AI engineers, machine learning specialists, cloud architects, cybersecurity professionals, platform engineers, data scientists, and product managers.

This is not just normal hiring growth. It is a change in the hiring model. Earlier, growth often meant hiring more people. Now, growth increasingly means hiring people with deeper expertise. In many cases, one experienced AI engineer or cybersecurity specialist may create more value than several generalist technology hires.

The salary market reflects the same reality. GCC salaries are often 15 percent to 40 percent higher than comparable roles in traditional IT services firms. In AI and GenAI roles, salary premiums can be even sharper, especially for people with hands-on skills and domain depth. Professionals are not moving only for higher pay either. Many are choosing GCCs because the work offers more ownership, closer access to global teams, and deeper involvement in product and platform decisions.

At the same time, traditional IT services firms are facing a more complicated equation. Their older model relied heavily on large delivery teams, fresher hiring, and billable headcount. However, AI is automating repetitive development tasks, support processes, testing, documentation, and operational workflows. Consequently, the value of pure execution work is reducing while the value of judgment, architecture, governance, and specialised problem-solving is rising.

This is why GCC hiring is becoming more selective. Industry estimates suggest that nearly 75 percent to 77 percent of GCC hiring now focuses on professionals with three to eight years of experience. These are not entry-level roles built around training large batches of freshers. These are specialist roles where companies want people who can contribute quickly and handle complex work.

However, demand is growing faster than supply. Several estimates place shortages in advanced technology skills close to 40 percent. As AI adoption accelerates globally, Indian GCCs are not just competing with Indian IT firms. They are also competing with employers across North America, Europe, and Asia for the same limited pool of specialised talent.

The geography of hiring is also widening. Bengaluru, Hyderabad, Pune, and Gurgaon remain major hubs, but the GCC story is no longer limited to them. Companies are increasingly exploring Tier-II cities to access talent, manage costs, and reduce concentration risks. This could gradually broaden India’s technology employment map beyond the usual metro clusters.

The bigger impact goes beyond jobs. As AI takes over more repetitive and process-driven work, GCCs are redesigning operating models around product ownership, cybersecurity, governance, analytics, innovation, and AI supervision. The focus is shifting from execution at scale to expertise at scale.

Why this matters

The GCC boom is creating a new talent hierarchy. Degrees alone are becoming less important than specialised capabilities. AI, cloud, cybersecurity, product development, data engineering, and digital transformation skills increasingly determine career growth, compensation, and employability.

For professionals, the question is no longer whether AI will affect jobs. The question is whether their skills become more valuable because of AI or easier to replace because of it.

The Big Picture

India’s GCC story is evolving from a cost-arbitrage model into a capability-arbitrage model. Global companies are no longer coming to India simply because talent is cheaper. They are coming because critical talent increasingly lives here.

The next phase of GCC growth will likely be defined less by the number of jobs created and more by the sophistication of those jobs. That is a major shift for India’s technology economy.

The Crunch

India’s GCCs are still hiring. They are just becoming far more selective about who they hire. And that may tell us more about the future of work than any AI forecast ever could.