There is a number that should unsettle every executive leader watching India’s Global Capability Centre ecosystem from a distance.

Not 2,117 - the number of GCCs now operating in India. Not USD 98.4 billion in annual revenue. Not even 510 - thenew Global Capability Centres established in just five years, the highest two-year intake ever recorded.

It is 73%.

73% of Chief Human Resource Officers globally say AI disruption is outpacing their organisation’s workforce readiness.

That figure, from the Nasscom-Zinnov GCC Landscape Report 2026, sits alongside another: only 5% of India’s GCCs have reached what the report calls Transformation Hub maturity - the stage at whicha GCC is no longer executing strategy handed down from headquarters, but originating it.

Two numbers. One gap. And in that gap lives one of themost consequential misreads in enterprise strategy today.

The Metric that No Longer Measures What It Used to

For two decades, GCC maturity was proxied by headcount.Scale was the signal. Hiring velocity was the health indicator.

The 2026 report dismantles this with a single data point:hiring across GCCs is slowing at every seniority level — and yet GCC maturity is accelerating faster than at any point in the sector’s history. These two trends moving in opposite directions are not a contradiction. They are the signal.

The organisations reaching Portfolio Hub and Transformation Hub maturity are not the ones with the largest headcount. Theyare the ones that answered a different question at the outset — not “how many people do we need in India?” but “what does India need to own forthis enterprise to function?”

That question produces a different kind of centre. And adifferent kind of competitive advantage.

What Intelligence Ownership Actually Looks Like

The report introduces a phrase worth sitting with: “builders and custodians of enterprise intelligence.” At Transformation Hub maturity, a GCC does not support the enterprise’s intelligence. It is the enterprise’s intelligence. The fraud detection model runs from India. The demand forecasting platform is owned from India. Thirty to forty percent of global leadership mandates in some of these organisations are held by India-based leaders not as a diversity initiative, but because that is where the institutional knowledge lives.

This is not a staffing story. It is an ownership story.

 Mid-market US enterprises still framing the GCC decision as a talent acquisition exercise are asking the wrong question. The organisations pulling ahead are not asking “can we hire AI engineers in India?”- of course they can, India holds the #1 AI hiring intensity among all GCC markets globally and leads GenAI-specific hiring worldwide. They are asking“ what should India own that we currently cannot build fast enough from the HQ?”

Different question. Different answer. Increasingly, a different competitive position.

The Skill Signal That Confirms the Shift

If the mandate has changed, the hiring data should reflect it. It does.

An analysis of 3,500+ job descriptions across India GCCs between FY2024 and FY2026 reveals exactly what enterprises are now recruiting for:

This is not an AI adoption story. It is an AI specificity story. GCCs are no longer hiring for capability labels. They are hiring for thespecific frameworks required to build and own production-grade AI systems - not experiment with them.

The talent strategy has followed the mandate strategy.Enterprises that decided to own outcomes hired for the skills that build outcomes.

What the 73% Number Is Really Telling Us

Return to the figure that opened this piece.

Seventy-three percent of CHROs say AI disruption isoutpacing workforce readiness. This anxiety is real. But for many organisationsit is also a misdiagnosis.

The problem is not that good AI talent does not exist. It exists in extraordinary depth - 250,000+ AI/ML professionals in India’s GCC ecosystem, representing approximately 28% of the global GCC AI talent pool. India’s AI hiring surpassed the US in the second half of FY 2025.

The anxiety leaders feel about AI workforce readiness is, in many cases, a geography problem presenting as a talent problem.

The capability exists. The question is whether the enterprise has built the structure - the mandate, the presence, the ownership model to access it.

GCCs at Portfolio and Transformation Hub maturity are not worried about AI workforce readiness. They have already answered the geography question. The 73% who are worried, by and large, have not.

The Reframe

The GCC conversation in mid-market US enterprises has too long been framed as a headcount decision. How many people? What functions? What cost savings?

The Nasscom-Zinnov 2026 report makes clear this framingis not wrong — it is obsolete. The organisations defining the next decade of enterprise capability are not counting people in India. They are measuring how much of their enterprise’s intelligence — its AI systems, its product architecture, its decision-making infrastructure is owned and governed from India.

Those are the GCCs hiring less and maturing faster. Those are the ones that are difficult to catch once they reach critical ownership mass.

The metric has changed. Recognising it early is, at this point, the competitive decision.

Data sourced from the Nasscom-Zinnov GCCLandscape Report 2026, May 2026.

‍