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India, US, and Mexico Lead as Most Balanced Global Capability Centre Ecosystems: BCG Report 

India’s innovation, scale, and operational efficiency position it at the forefront of the GCC revolution
India, the United States, and Mexico have emerged as the world’s most balanced Global Capability Centre (GCC) ecosystems, according to a new report from Boston Consulting Group (BCG). The report attributes India’s unique leadership position to its ability to blend scale, innovation, and cost efficiency, transforming its GCC landscape into a strategic engine of enterprise innovation and agility
AI: The Core Catalyst for GCC Maturity
The report emphasizes that Artificial Intelligence (AI) — especially advanced use cases like Generative AI (GenAI), Natural Language Processing (NLP), and AI agents — is now a primary driver of GCC maturity and impact. While leading GCCs have moved past the pilot stage to embed AI into their core workflows, the majority still remain in early stages of experimentation.

“GCCs have always been good at acting as the engine room — now the best ones are learning to steer the ship,” said Sreyssha George, Managing Director and Partner at BCG. “AI has brought fresh momentum — enabling GCCs to lead transformation, not just support it.”

According to the report, over 90% of top-performing GCCs have established or expanded AI-led Centers of Excellence (CoEs) in the last 18 months — a trend evident across industries and geographies.
Strategic Framework to Accelerate GCC Maturity
The report outlines a three-step transformation playbook for GCCs to increase enterprise-level impact:
GCCs that successfully redefine their role from execution arms to innovation centers — embedding AI, upskilling talent, and co-owning outcomes — are set to lead the next wave of digital enterprise transformation.

“GCCs which treat AI as a bolt-on will never close the gap,” added Rajiv Gupta, Managing Director and Senior Partner at BCG. “The frontrunners have embedded AI into their operating models at a scale that creates enterprise-level outcomes.”

More than 90% of top performers are already implementing advanced AI use cases, compared to just 50% of others, underscoring a widening capability gap 
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