Global Capability Centres (GCCs) are undergoing a fundamental shift, driven by AI-first GCC transformation. What were once cost-efficient delivery hubs are now emerging as AI-first transformation engines, positioning GCCs as enterprise transformation engines embedded at the core of enterprise strategy. By 2026, the most mature GCCs will no longer be assessed on cost savings alone, but on their ability to drive innovation, value, and enterprise-wide resilience.
This shift is not incremental. It reflects a broader change in how global organisations think about capability creation, talent deployment, and the role of distributed teams in shaping competitive advantage.
This blog highlights the structural shift redefining GCCs in 2026, detailing how capability centres are transitioning from cost-efficient delivery hubs to AI-first, intelligence-driven transformation engines, and outlining the operating, talent, and governance shifts required to position GCCs as strategic drivers of enterprise value.
The original GCC mandate and its limits
For many years, the GCC value proposition was straightforward. Enterprises centralised operational and support functions in lower-cost locations to drive efficiency, scale, and standardisation. Success was measured through metrics such as cost reduction, turnaround time, and process stability.
This model delivered undeniable value. However, it was designed for a relatively stable operating environment. As business models, technologies, and customer expectations have evolved, the limitations of a cost-centric GCC approach have become increasingly apparent.
Enterprises today face near-constant disruptions, from supply chain volatility and regulatory shifts to rapid advances in digital technologies. In this context, GCCs need to extend their focus beyond execution excellence to keep pace with the strategic demands placed on them.
The inflection point: from execution to intelligence
The most significant driver of change within GCCs is the growing role of artificial intelligence and advanced analytics. AI is now embedded in how work is prioritised, executed, and optimised across functions, rather than being confined to siloed automation initiatives.
This evolution is pushing GCCs into a new role:
- From process executors to decision enablers
- From capacity providers to capability builders
- From support functions to strategic contributors
AI-enabled GCCs now support functions such as financial planning, supply chain optimization, product engineering, customer experience, and risk management. Their value no longer lies in just performing tasks, but in shaping how decisions are made and actions are taken across the enterprise.
AI-first GCCs and the shift in operating models
An AI-first GCC operates differently from traditional models, reflecting a shift toward an AI operating model that redefines how work is designed, prioritised, and executed. Instead of layering automation onto existing processes, these centres rethink workflows end to end, using AI to shape how work is structured and continuously improved.
Key characteristics include:
- Embedded AI across operational processes rather than deployed as siloed tools
- Continuous feedback loops that improve performance over time
- Strong integration with enterprise data platforms
- A focus on insight generation rather than activity completion
This approach enables GCCs to proactively identify risks, recommend actions, and support faster response across the enterprise. Over time, this shifts their role from reactive support to anticipatory intelligence.
Talent transformation inside GCCs
As GCC mandates expand, the talent profile within these centres is also changing. Routine, rules-based work is giving way to roles focused on analytics, AI operations, engineering support, and domain-specific expertise.
This transformation has two important implications:
- GCCs are becoming talent magnets, competing for advanced digital and analytical skills.
- The workforce is becoming increasingly aligned to enterprise-critical outcomes rather than transactional tasks.
Upskilling, cross-functional exposure, and career pathways tied to innovation are becoming essential to sustaining this model. GCCs that fail to invest in talent evolution risk stagnation, regardless of technological capability.
Measuring value beyond cost
AI-first GCCs require new success metrics. Traditional measures such as cost per transaction or volume handled no longer capture the full picture.
Leading organisations are beginning to evaluate GCC performance based on:
- Contribution to business outcomes
- Speed and quality of decision support
- Impact on resilience and risk reduction
- Ability to scale innovation across geographies
This shift in measurement reinforces the repositioning of GCCs as strategic assets, not just delivery centres.
Governance and enterprise alignment
With increased autonomy and intelligence comes the need for stronger governance. AI-driven GCCs must operate within clear frameworks that define accountability, ethical use of data, and alignment with enterprise priorities.
Successful models balance autonomy with oversight, enabling GCCs to innovate while maintaining consistency, compliance, and trust across the organisation.
Looking Ahead
By 2026, GCCs that continue to operate primarily as cost hubs will struggle to stay relevant. Those that evolve through AI-first GCC transformation will play a central role in shaping enterprise performance, innovation, and resilience.
The opportunity for enterprise leaders is not simply to modernize GCCs, but to redefine their purpose by embedding intelligence, talent, and strategic impact at the core of global operations.
How Infosys BPM can help
At Infosys BPM, we help organisations accelerate AI-first GCC transformation by aligning data, talent, and workflows within a unified operating approach. This includes embedding intelligence into core processes and scaling capabilities to support enterprise priorities.
By enabling robust AI operating models, organisations can strengthen decision-making, improve execution quality, and respond faster to changing conditions. At the same time, this approach positions GCCs as enterprise transformation engines, driving innovation, resilience, and sustained business value.
