From Execution to Influence: How GCCs Are Changing the Game

GCC Transformation: From Execution to Influence

For years, the Global Capability Center (GCC) value proposition was pretty much clear: improve efficiency, access skilled talent, lower costs, and deliver work at scale. That model built the foundation of the GCC ecosystem. But it is no longer enough.

In 2026, the question facing GCC leaders is no longer "Can the GCC execute?" It is "What should the GCC own, influence, and transform?"

The shift is already visible. India has 2,117 GCCs operating across 3,728 units, employing approximately 2.36 million professionals and generating $98.4 billion in revenue in FY2026. The ecosystem has grown 32% since FY2021. More importantly, GCCs are increasingly taking ownership of products, platforms, AI capabilities, analytics, and enterprise-wide transformation.

This is the next phase of GCC evolution: moving from execution at scale to influence at scale.

But getting there raises harder questions.

• How do GCCs turn advanced tools and AI capabilities into everyday business decisions?
• How do GCCs build long-term capabilities while continuing to deliver on immediate business priorities?
• What separates a successful pilot from a capability that scales?

These questions are shaping the GCC leadership conversation. The shift from execution to influence is no longer a future ambition; it is already transforming how leading GCCs operate.

So, what does this GCC transformation actually look like?

The Forces Pushing GCC Transformation Beyond Execution

Four forces are compressing the timeline.

• Business functions are owned end-to-end: Multinationals are handing GCCs full accountability for pricing, revenue growth management, supply chain planning, commercial analytics, and enterprise AI. Nearly 50% of GCCs now operate at a high maturity stage, and 64% of site leaders hold dual mandates combining global functional ownership with site leadership, including cybersecurity and AI governance. This is what a modern GCC operating model looks like.
• Data has to influence decisions, not just describe them: The value ladder has shifted from what happened to why it happened to what should we do to how does the GCC help the business act on it. Descriptive dashboards are commodities now. Decision intelligence is not.
• AI has moved from pilot to production, unevenly: More than 1,200 GCCs in India have embedded AI and ML capability, backed by 250+ centres of excellence and roughly 250,000 AI professionals. Yet many of these pilots never become part of a recurring business decision or workflow. The gap is rarely a modelling problem. It is an adoption, ownership and operating model problem, and as agentic AI starts orchestrating actions rather than producing insight, it widens. Leaders in GCC business transformation will not simply deploy AI. They will redesign how decisions get done around it.
• HQ are becoming co-creators: The old pattern of HQ assigns, GCC executes is giving way to shared roadmaps and reciprocal accountability. The best of these relationships carry a mix of partnership and pressure. This is increasingly becoming central to GCC strategy as centres take on broader enterprise mandates.

Trust Is the Real Currency of Global Capability Center (GCC) Influence

The move from doing to defining is not one leap. It is three trust curves, earned in order.

• Execution trust. Can the team deliver what was asked. Most mature GCCs have crossed this line.
• Expertise trust. Does the team understand the domain deeply enough to be trusted with a full product or decision area. This is where many GCCs plateau.
• Judgment trust. Do business leaders trust the GCC's recommendation when there is no obvious right answer. This is the real inflection point of GCC strategic transformation, and it shows up when HQ stops asking "can you build this" and starts asking "what do you think we should do."

None of these curves can be skipped. Ownership cannot be demanded. It has to be entrusted.

Have a look at our recent GCC Roundtable to grasp more around this:

From Doing to Defining: What Changes Inside the GCC Operating Model

The shifts that separate a GCC that executes well from one that starts shaping the agenda.

• The talent profile changes: Tech depth still matters, but the distinction is increasingly the capability to connect business context with technology: grasp the problem, challenge the needs, translate it into an approach, and drive adoption. As AI takes on more execution, the problem moves upstream to defining the correct problem and the outcome it requires to deliver.
• Teams bring recommendations, not just solutions: The shift is from "here is what we built" to "here is the problem, the options, and what we recommend." That needs judgment and the confidence to challenge whether the business is resolving the right issues in the first place.
• Value also means knowing what to stop: Defining direction is not just deciding what to build; it is deciding what no longer deserves capacity. Low-value reporting and complex work that does not influence decisions can reinforce the GCC as a delivery engine. Retiring it can create more value than adding another dashboard.
• Ownership then extends beyond projects: Leading GCCs are moving toward end-to-end accountability, from understanding the business need and defining the capability to delivering it and owning the outcome. This is where Global Capability Centers transformation becomes visible in the operating model itself.

McDonald's offers a useful example. Its Hyderabad centre is increasingly involved in data governance, engineering and platform architecture as the company scales AI. The significance is not simply that the GCC is building technology, but that its capabilities are becoming part of how the enterprise builds and scales strategic capabilities.

This shift also makes domain depth critical. As centres mature, retaining expertise becomes less about an HR metric and more about preserving the knowledge that enables the next, bigger mandate.

GCC Value Creation Must Now Be Measured in Outcomes

Old metrics break under AI. Reports generated, tickets closed, lines of code, hours worked, token counts. If an engineer finishes in thirty minutes what used to take three days, they are not less productive.

The risk is getting efficient at producing more content without producing proportionally more value.

The framework has to shift to outcomes. Adoption rate. Decision quality. Decision speed. Model performance stability. Governance health and escalation resolution. Operational impact against a real baseline. Customer satisfaction. Revenue matters, but treat it as a lagging indicator. If a GCC waits for revenue to move before proving value, the timeline is too long and the credit too diffuse.

The question is no longer simply how much the GCC produces, but how much better, faster, or more confidently the enterprise can decide because of what the GCC enables. That is the real measure of influence.

What Global Capability Centers Will Look Like in the Next 3 to 5 Years

Within the next five years, 75% of India's GCCs could evolve into full transformation hubs, according to the report. The most advanced will look less like distributed delivery centres and more like globally integrated capability hubs, owning products and capabilities from definition through to outcome.

The gap between leaders and laggards will not be defined by technology. It will come down to how deeply the GCC is integrated with the parent organisation's culture and decision rhythm, and how much of the enterprise agenda it is trusted to define.

The centres that get there will not simply be the ones that executed best. They will be the ones that earned the right to decide.

So, the path from execution to influence requires more than a new mandate, it requires the data, decision workflows, and capabilities to make that mandate real.

How Polestar Analytics Helps GCCs Move From Execution to Influence

Polestar Analytics works with Global Capability Centers on the layer that decides whether AI actually scales: data foundations, decision workflows, adoption and measurement. We build alongside your teams rather than around them, so capability stays in the center after we step back.

If you are transforming your Global Capability Center operating model, that is the right time to get started. Book a consultation with our GCC experts.

Key Takeaways

• Execution is now the baseline: Global Capability Centers are required to move beyond delivering needs to influencing business outcomes and decisions.
• Trust enables ownership: GCCs progress from execution trust to expertise trust and, ultimately, judgment trust.
• AI changes the GCC value prop: It will not be about just deploying AI, but embedding it into workflow, decisions, and business outcomes.
• Outcomes matter the most: GCC value should be measured by the outcomes it enables, faster and better decisions, stronger adoption, measurable business value, and operational impact, not by tickets, hours, or reports.
• The next level will be earned: Global Capability Centers that become strategic partners will be the ones who're trusted to define priorities, challenge assumptions, and own outcomes.

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