Beyond Outsourcing: The New High-Stakes World of Global Capability Centers

NEW YORK, NY – July 15, 2026

The narrative surrounding Global Capability Centers (GCCs) has fundamentally changed. Once viewed as remote back offices for cost arbitrage, they have evolved into strategic nerve centers driving innovation, technology, and enterprise-wide transformation. The scale is staggering: India alone now hosts over 2,100 GCCs that employ 2.36 million professionals and generate nearly $100 billion in annual revenue, according to data from Nasscom. These are not delivery centers; they are the engines of global business.

But beneath this story of strategic elevation lies a troubling counter-narrative of operational failure. As ambitions have soared, so has the complexity of execution. A recent analysis of over 300 globalization programs by the enterprise advisory firm Aokah reveals a stark reality: more than 72% of new GCC builds experience significant delays or cost overruns within their first two years. This isn’t an anomaly; it points to what Aokah calls a “system problem.” The decision to globalize is made and the direction is set, but what happens next is where most organizations falter. As enterprises pour investment into these critical assets, they are confronting a new, high-stakes reality where confident execution, not just ambition, is the ultimate measure of success.

The AI Accelerator and its Governance Paradox

At the heart of the GCC transformation is the aggressive, enterprise-wide adoption of artificial intelligence. GCCs are no longer just experimenting with AI; they are becoming the primary accelerators for implementing it at scale. An EY India survey from late 2025 confirms that 83% of GCCs are already investing in Generative AI. Even more telling is the rapid pivot to autonomous systems, with 58% currently investing in Agentic AI and another 29% planning to scale within the year.

This shift is structural. GCCs are embedding AI into core functions like software engineering, finance, and customer operations, moving far beyond isolated pilots. However, this sprint toward AI-first operating models has created a dangerous chasm: the governance gap. While investment soars, the frameworks to manage AI responsibly are lagging catastrophically. According to a 2026 Deloitte report on the state of AI, only 21% of organizations have a mature governance model for autonomous AI agents. This is a gap that Veda Iyer, a senior executive at Mphasis, sees as a defining structural shift. “83% of GCCs are already investing in GenAI, yet only 21% have a mature governance model in place to manage it responsibly,” she notes. “That gap is where the next decade of value, and risk, will be decided.”

The risk is not theoretical. With 78% of technology leaders admitting that AI adoption is outpacing their organization's ability to manage the business effectively, according to EY, companies are accruing massive, unmanaged exposure to algorithmic bias, data privacy breaches, and intellectual property risks. The race to innovate has left the guardrails far behind.

From Delivery Center to Enterprise Transformation Engine

The strategic mandate of the modern GCC has expanded dramatically. The most mature centers are no longer asked what they deliver; they are asked what they make possible. Data now confirms this evolution is well underway. More than half of India’s GCCs (52%) now hold shared accountability for global decisions, and 45% are driving global strategy directly from India. Two-thirds have established dedicated innovation teams and incubation programs to generate, test, and globalize new ideas.

This new role as an enterprise transformation engine is powered by a unique convergence of talent, data, and operational scale. Robert Weltevreden, a Global Business Services Leader and Board Member of Aokah, sees this convergence as a powerful catalyst. “Global Capability Centers are becoming the AI accelerators for their enterprises, as they bring together a unique set of talent, data acumen, deep technology skills and business process operations at scale,” he explains. “This is making these GCCs ideally placed to be THE enterprise AI accelerator, with a real top- and bottom-line impact for their enterprise.”

However, this strategic elevation places immense pressure on workforce strategy. The challenge is no longer just hiring talent but building integrated human-AI teams. Yet, a significant disconnect persists. A stunning 84% of companies have not redesigned jobs or workflows to accommodate AI, according to Deloitte, even as automation expectations remain high. The same report identifies insufficient worker skills as the number one barrier to integrating AI. The organizations that can bridge this gap between technological capability and human readiness will seize a definitive performance advantage.

Confronting the Execution Crisis

The high-stakes evolution of GCCs has exposed a fundamental weakness in execution. Aokah’s finding that nearly three-quarters of new builds fail to meet initial budget or timeline targets is a damning indictment of current practices. This isn't a problem of location or talent; it is a systemic failure of execution intelligence. This claim is bolstered by independent research, which indicates that hundreds of established GCCs are now hitting a “growth plateau” due to structural inefficiencies and a failure to align with evolving enterprise priorities.

To address this execution crisis, Aokah has developed its “Five Wisdoms℠” framework, a methodology built from the firm's experience across more than 300 globalization programs. The framework is designed to provide a structured, proven method for navigating every stage of the process, from initial exploration to sustained performance optimization. “What separates the leaders from the rest today is not ambition,” says Atul Vashistha, Chairman and CEO of Aokah. “It is the wisdom to plan well, the expertise to execute consistently, and the system to sustain it. That is what Globalizing Work with Confidence™ means in practice.”

The New Currency: Confidence in Outcomes

As GCCs become more deeply integrated into enterprise strategy and more technologically complex, the ability to execute consistently becomes the ultimate competitive differentiator. In an environment where change is constant and risks are systemic, simply having a global footprint is no longer enough. The new imperative is to build and operate that footprint with a level of predictability and control that inspires confidence across the organization—from the board room to the teams on the ground.

This is the new standard for enterprise globalization. The conversation has moved beyond whether to globalize to how to do so in a way that mitigates risk and guarantees value. As Vashistha puts it, “The question enterprises are asking has shifted. It is no longer whether to globalize work. It is how to do it in a way that generates real confidence, for the board, for the business, and for the teams executing on the ground.” In the next era of innovation, organizations that can master the science of confident execution will not only survive the complexities of globalization; they will thrive on them.