From cost to capability arbitrage, why India is increasingly becoming the tech R&D muscle for GCCs

The narrative of India as the world’s back office has been officially retired. India now hosts more than 2,000 Global Capability Centres (GCCs) employing over 2 million people and generating close to $100 billion in revenue. Roughly half the world’s GCC workforce and the single-largest concentration of corporate R&D outside the US is in India. That scale, built patiently over four decades now, underpins a more ambitious roadmap: that India’s GCCs are no longer here for scale; instead, they have transitioned as integrated enterprise value creators.

There is an old mariner’s wisdom, “A ship in port is safe, but that’s not why ships are built.” This ruled the Age of Discovery, driving European explorers to cross oceans for silk, spices, labour, and ideas. Now centuries later, businessmen and global corporates are still travelling the high seas for resources. Albeit now, the very definition of resources has changed. Since ChatGPT’s November 2022 launch, over 200 dedicated AI centres of excellence have been stood up inside Indian GCCs, Microsoft has committed $20.5 billion over four years, Google has pledged a $10-billion data centre in Visakhapatnam, and Indian engineers have begun owning global product roadmaps for Fortune 500s.

Today, nearly 50% of the new GCCs are building AI, ML or data science capabilities from day one. The focus is shifting from building AI to scaling it, anchored in clear use-cases across traditional and Agentic AI, economics, and governance.

At the same time, AI is accelerating GCC maturity. Their strength in orchestrating data, models, and platforms, combined with cross-functional coordination, are positioning them to increasingly own enterprise AI mandates. These centres are quietly building the foundational R&D muscle that underpins the global AI economy. Not just applied, but designed, tested, and advanced out of the India centres.

GCCs in India emerging as R&D powerhouses

What sets India apart is the depth of investment in core research. AI builders are committing nearly 10 times more to R&D than users, signalling a shift from application to invention. This is evident in the nature of work emerging from semiconductor and deeptech centres. Qualcomm, for instance, has completed the tape-out of its next-generation 2-nanometer chip from its India engineering teams. Nvidia continues to push the frontiers of GPU-led deep learning, while AMD is advancing AI accelerator design and optimisation. Synopsys is embedding AI into chip design automation, and Intel’s India centres are playing a key role in next-generation processor platforms such as Panther Lake. Even at the foundational layer of memory, critical to AI workloads, innovation is being driven by players like Micron. Samsung, too, is pushing the envelope with on-device AI and has set up a quantum computing lab with IISc, signalling the breadth of frontier research now taking shape in India.

Why the India lead is permanent

On any reasonable comparator, India’s GCC lead is now structural rather than cyclical. Kearney’s Global Services Location Index has ranked the country No. 1 for 13 consecutive years.

Poland for example, India’s closest European peer, operates at two-and-a-half to three times the cost per employee and remains anchored in shared services rather than product-led R&D. The Philippines runs a larger absolute BPO workforce but has barely ventured into deep engineering; at the same time, China has been in structural decline as western MNCs de-risk. India by all accounts is the only hub that simultaneously spans voice BPM, R&D, AI research, semiconductor design, and global product ownership. Since CY25, the core theme of the GCC landscape has been that value redefines scale. Success is no longer measured by the highest FTE count but by strategic business impact.

As enterprises move from experimentation to enterprise-wide transformation, no single entity can deliver outcomes in isolation. Instead, GCCs are beginning to stitch together multi-layered ecosystems: co-creating curricula and research with academia, building co-innovation pipelines with startups, embedding continuous skilling through internal academies and platforms, and shaping standards and policy alongside industry bodies.

From cost arbitrage to ecosystem orchestrator

The deeper signal is the transfer of authority. Global firms are progressively redistributing decision-making authority from a centralised headquarters model to a more integrated structure. This is reflected in the rise of dual leadership roles, where GCC heads are also accountable for global business units, enabling decisions on architecture, product strategy, and AI governance to be anchored in India rather than routed through headquarters. Because of this, GCCs are moving beyond prompt engineering to building proprietary LLMs and sovereign data frameworks. The innovation arbitrage is now visible in how GCCs are fusing domain expertise with AI to create cognitive CoEs that serve as the R&D engine for their global parent organisations.

This orchestration capability, that is aligning speed, scale, and specialised expertise, is what is defining the next phase of global capability leadership from India.

India is transforming from ‘Where Work Is Done’ to ‘Where Strategy Is Shaped’

The next phase must now focus on strengthening these foundations. The growth imperative for GCCs is no longer about scaling headcount but about deepening expertise: building specialised capability hubs anchored in domain and technology, led by lean but leadership-heavy teams that drive outcomes and hold real decision-making authority.

Perhaps the most disruptive force reshaping this landscape is AI itself. By mitigating the labour cost arbitrage that long justified the offshore model, AI is forcing GCCs to fundamentally reset their value proposition. Relevance, going forward, will be defined not by cost efficiency but by speed of innovation, intelligence ownership, and the degree to which these centres influence enterprise-level decisions.

Simultaneously, the role India plays in the global enterprise architecture is being redrawn. GCCs here are shifting from being where work is done to becoming the determinant of global enterprise capability. As integration with parent enterprises deepens, India is increasingly where strategic bets are placed, not just where tasks are delivered.

(The author is president, Nasscom. Views are personal.)