How India's GCCs are hiring differently, and the skills that win jobs now
Global Capability Centres in India are becoming more selective as AI transforms hiring, skills demand, and entry-level recruitment.
Artificial intelligence is changing India’s hiring market faster than many companies expected. As multinational companies expand their Global Capability Centres, or GCCs, across India, recruitment strategies are shifting sharply from large-scale hiring to highly specialised talent acquisition.
The result is a more competitive, outcome-focused job market where practical AI capability increasingly matters more than traditional credentials alone. Here's what's happening!
India’s GCC boom is entering a new phase
India remains one of the world’s biggest hubs for GCC expansion. Multinational firms continue building technology, operations, analytics, and research centres across cities like Bengaluru, Hyderabad, Pune, and Chennai.
Industry estimates suggest India could host more than 2,000 GCCs by the end of fiscal 2026, employing millions of professionals and contributing tens of billions of dollars to the economy. But the hiring model inside those centres is changing.
Companies are becoming far more selective about the type of talent they recruit as AI reshapes workplace operations. Instead of simply scaling headcount, many GCCs are now prioritising professionals who can work across the entire AI lifecycle, from data collection and model development to deployment, monitoring, and optimisation.
The work itself is also becoming more sophisticated. Indian GCCs increasingly handle higher-value responsibilities such as automotive software systems, pharmaceutical research support, digital customer experiences, and AI-driven business operations rather than basic back-office functions.
Entry-level hiring is being restructured
One of the biggest changes is happening at the junior level. Tasks that previously formed part of graduate and entry-level roles are increasingly being automated through AI systems. As a result, companies are reconsidering traditional campus hiring models.
Many employers now place greater value on practical AI skills, certifications, portfolios, internships, and hands-on projects rather than relying solely on university degrees or brand-name institutions.
The traditional “zero to two years of experience” hiring category is also evolving.
Instead of large graduate intake programmes, companies are experimenting with apprenticeships, structured project rotations, and contract-based assignments that place younger workers directly into live product environments with measurable outcomes.
The skills companies now want most
Demand is rising for professionals who can apply AI in practical business environments rather than simply understand theory. Companies are actively seeking machine learning engineers, data engineers, cybersecurity specialists, AI operations professionals, and people capable of managing the full lifecycle of AI systems.
But technical knowledge alone is not enough. Employers increasingly value problem-solving ability, communication skills, business understanding, and judgment around privacy, safety, and compliance. Professionals who can explain AI trade-offs clearly to non-technical stakeholders are becoming especially valuable.
The ability to combine technical fluency with practical decision-making is emerging as a major differentiator.
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India’s hiring model is shifting from cost to value
For years, India’s GCC growth story was largely built around scale and cost efficiency. Now, AI is pushing companies toward a value-creation model instead. Many organisations are reducing the number of open positions while making individual roles more specialised and outcome-driven.
Hiring processes increasingly involve portfolio reviews, technical assessments, take-home assignments, and work samples designed to test real-world execution capability. Companies also want employees familiar with AI governance practices such as documentation, auditability, bias testing, and model risk controls as regulatory scrutiny around AI grows globally.
Reskilling is becoming critical
To close skill gaps, companies are investing heavily in internal training programmes, mentorship systems, and job rotations. Many firms are also exploring partnerships with universities to align coursework more closely with industry requirements, including exposure to real datasets, APIs, and AI evaluation methods.
For candidates, demonstrating practical problem-solving ability now matters as much as academic credentials. As AI reshapes hiring, India’s job market is becoming smaller in volume but sharper in expectations. The professionals who combine technical expertise, adaptability, and sound judgement are likely to stand out in this new recruitment landscape.