Posted on: August 3^rd 2026 

For decades, the global capability center model was built around a clear proposition: concentrate talent, standardize or optimize processes, improve service quality, and deliver at scale. That proposition remains valuable. But it is no longer sufficient.

The most advanced GCCs are moving beyond execution. They are taking ownership of products, platforms, data, AI, and enterprise transformation. Their value is increasingly measured not only by efficiency or service-level performance, but by how quickly they turn expertise into innovation and innovation into business outcomes. GCCs must evolve from cost-efficient execution engines into strategic drivers of business innovation, digital transformation, and core value creation.

India’s GCC journey offers a useful view of this transition. It also raises an important question for the Philippines: how can a market renowned for operational excellence and customer experience convert those strengths into a larger global innovation mandate?

India’s GCC evolution is really an evolution of ownership

India’s rise as a GCC destination began with scale and talent, but its next chapter is being defined by ownership. Centers that once supported global teams now co-create products, develop AI capabilities, manage enterprise data, and lead transformation programs.

This change is visible in the mandates of global enterprises. Microsoft says its teams across India contribute across the product cycle, from model development and engineering to product innovation, including work on Copilot Studio, Azure AI Search, AI agents, speech and translation, and Azure Machine Learning. Novartis established its first Asian Biome digital innovation hub in Hyderabad to connect internal teams with startups and academia and turn ideas into scalable healthcare solutions.

These examples matter because they show that a GCC does not become strategic simply by adding more technology roles. It becomes strategic when headquarters entrusts it with outcomes, gives it access to the right data and business context, and expects it to create capabilities that can be reused globally.

Looking ahead: Can the Philippines shift from an operational powerhouse into a strategic

engine that actively shapes global enterprise strategy?

The Philippine opportunity starts from a position of strength

The Philippines has built a globally respected IT-BPM ecosystem on communication, service orientation, adaptability, and deep process knowledge. Those strengths are especially valuable as AI changes the nature of enterprise operations.

AI does not remove the need for process expertise. It makes that expertise more important. The people who understand why a process breaks, where judgment is required, how customers respond, and which exceptions create risk are often best positioned to redesign the work around AI.

The market is already showing signs of this evolution. The next-generation Philtech center in Cebu, for example, has been positioned around generative AI, software engineering, customer experience, digital transformation, and enterprise operations. It is an indication of what becomes possible when Filipino talent is connected to a broader transformation mandate.

The opportunity, however, is larger than a handful of advanced centers. The Philippines can establish itself as a destination where enterprises do not merely locate work, but build AI-enabled operating models.

Five imperatives for Philippine GCCs

1. Move from a delivery mandate to an enterprise mandate

A modern GCC needs a clearly defined role in the enterprise’s innovation agenda. That means identifying the products, processes, data domains, or customer journeys the center will own, not simply the tasks it will perform.

The mandate should be jointly designed by headquarters and GCC leadership, backed by decision rights, executive sponsorship, and a phased path from delivery to co-creation and ownership.

2. Build AI where the process knowledge lives

If AI strategy and development remain concentrated elsewhere, Philippine GCCs risk becoming downstream users of tools created without their operating context. The stronger model is to bring process experts, data specialists, engineers, and transformation leaders together inside the GCC.

This allows teams to identify high-value use cases, build proofs of concept, validate them against real operational conditions, and scale what works. It also gives the center a more visible role in enterprise AI transformation.

3. Treat data and knowledge as strategic infrastructure

AI ambition cannot outpace data readiness. GCCs need trusted data, clear ownership, shared taxonomies, strong observability, and governed access. They also need to capture institutional knowledge that is often scattered across people, documents, and workflows.

Treating data and knowledge as products creates the foundation for reusable AI assets, domain-specific models, better decisions, and more reliable automation.

4. Develop an ecosystem, not only a workforce

India’s experience shows the value of connecting GCCs with startups, universities, and specialized technology partners. These relationships help centers move faster from problem definition to experimentation and from prototype to scaled solution.

The Philippines can deepen similar connections across Manila, Cebu, Clark, Iloilo, Davao, and other emerging hubs. A distributed innovation ecosystem can expand the talent pool while creating specialized clusters around areas such as customer experience, financial services, healthcare, analytics, cybersecurity, and software engineering.

5. Measure what the GCC creates, not only what it saves

Cost, quality, productivity, and SLA performance will remain important. But they cannot fully express the contribution of a next-generation GCC.

Leadership scorecards should also measure time to market, AI deployment and reuse, revenue or customer impact, risk reduction, intellectual property created, talent progression, and the number of global programs led from the Philippines. What an enterprise measures signals what it truly expects its GCC to become.

The next advantage will come from combining human insight with AI

The Philippines does not need to abandon the capabilities that built its position. It needs to reinterpret them for an AI-first operating environment.

Customer empathy can inform better AI experiences. Process discipline can support safer automation. Communication strengths can improve adoption across global teams. Domain expertise can help enterprises distinguish between a compelling demonstration and a solution that works reliably in production.

This combination is difficult to replicate. It can become the foundation of a distinctly Philippine model of the next-generation GCC: human-centered, operationally grounded, AI-enabled, and accountable for measurable enterprise outcomes.

The next chapter for Philippine GCCs

The global GCC landscape is changing quickly. As more enterprises distribute ownership of AI, data, products, and transformation, location decisions will increasingly follow capability and strategic value, not cost alone.

For Philippine GCCs, the question is no longer whether the operating model will evolve. It is whether centers will help shape that evolution or wait for the new model to be designed elsewhere.

The next generation of GCC leadership will be defined by centers that can build and run with AI, convert frontline knowledge into enterprise intelligence, and take global responsibility for outcomes. The Philippines has the talent and operating heritage to lead that shift. The imperative now is to turn that potential into mandate, capability, and measurable impact.