Top executives from India-based Global Capability Centres are increasingly securing C-suite roles in Fortune 500 firms. This reflects a shift from mere operational support to strategic global leadership. However, industry data suggests that most Indian centers still function as executors rather than decision-makers for core AI and business strategies.
The role of India-based Global Capability Centres (GCCs) within multinational corporations is undergoing a significant evolution. A growing number of professionals from these centers are now securing executive-level positions within Fortune 500 companies, marking a shift in how global firms utilize their Indian talent pools. Notable appointments include leaders at major global organizations such as Verizon, Walmart, Michelin, Honeywell, and Maersk, who are now overseeing enterprise-wide functions in technology, data, and artificial intelligence.
Transition to Strategic Decision-Making
Historically, GCCs in India were primarily viewed as cost-efficient hubs focused on backend execution or service delivery. The current trend suggests a change in this perception, as leaders based in India increasingly take ownership of global customer relationships, engineering mandates, and digital transformation initiatives. This shift implies that Indian hubs are becoming central to the strategic operations of their parent companies, rather than operating as isolated offshore units. By managing global budgets and technology roadmaps from India, these executives are effectively bridging the gap between offshore delivery and corporate strategy.
The Reality of AI Maturity and Ownership
While the rise of Indian executives to top global roles is clear, research indicates that this may not represent the standard for all centers. A study on AI maturity by Zinnov highlights that a significant gap remains between potential and operational authority. The findings reveal that approximately 87% of GCCs still operate largely in an execution-focused mode. Furthermore, only 19% of these centers currently manage end-to-end artificial intelligence mandates. Many firms continue to face limitations where local teams perform experiments, pilots, or hackathons, but struggle to scale these projects into full-scale enterprise solutions.
Challenges for Scaling Innovation
The primary barrier to deeper integration appears to be the existing operating models of many multinational corporations. Experts note that even when local leaders have the necessary technical skills, they often lack the formal authority over budgets and governance required to act as primary architects of global strategy. Without deep domain expertise and clear mandates to control enterprise-wide technology decisions, these centers often remain focused on implementing strategies developed at global headquarters rather than creating them. Investors tracking this sector may monitor whether more corporations move toward empowering Indian teams with full budget control and end-to-end responsibility, as this would be the next critical phase in the maturity of the Indian GCC landscape.