India's Unmatched GCC Dominance
Global Capability Centres (GCCs), the dedicated offshore units of multinational corporations, have found an unparalleled home in India. The country hosts 180 retail GCCs employing over 272,000 professionals, making its workforce 34% larger than the next
five competing markets—Poland, the Philippines, Mexico, Germany, and Egypt—combined. Global retail giants are increasingly relying on their Indian centres not just for back-office support, but for high-value functions like supply chain transformation, product engineering, and data-led operations. Hiring has boomed, with demand doubling between 2024 and 2025, generating over 52,000 jobs in 2025 alone. This growth has shifted India's role from a low-cost execution centre to a strategic hub where global retail strategy is built and owned.
AI: The New Engine of Retail
At the heart of this evolution is Artificial Intelligence. AI penetration within India's retail GCCs has more than doubled since 2022 and is projected to reach 7.2% in 2026, a higher rate than any peer nation. These aren't just experimental projects. AI is powering everything from generative AI-enhanced customer experiences to complex supply chain optimisation and MLOps (Machine Learning Operations). The demand for skills in areas like Large Language Model (LLM) engineering and GenAIOps is growing at over 100% year-on-year. In response, functions like technology, customer success, and data analytics, which currently make up 60% of the workforce, are expected to drive over 80% of hiring demand by 2028.
The Crucial Gap: A Scarcity of Leaders
While India has a growing pool of junior AI talent, the problem lies at the top. A recent report from TeamLease Digital highlights a stark leadership deficit: across all 180 retail GCCs, there are only 320 professionals with more than eight years of AI experience. This averages out to fewer than two senior AI specialists per centre. The issue is compounded by geographic concentration, with Bengaluru alone accounting for 54% of this senior talent pool. This creates a significant capability risk, as companies lack the experienced hands needed to guide large-scale AI strategy, mentor burgeoning teams, and manage complex, mission-critical deployments.
The High Cost of Inexperience
This senior talent shortage is more than a simple HR challenge; it's a strategic threat. Without experienced leadership, ambitious AI projects can stall, innovation slows, and GCCs risk being unable to scale their most advanced operations. It also fuels an intense war for talent, with 90% of recent AI hires in retail GCCs coming from outside the retail sector, primarily from IT services and product companies. This competition drives up costs significantly. AI specialists with just three to six years of experience can command salaries of ₹46 lakh, double the market median, while senior leaders with over 15 years of combined retail and AI expertise can earn upwards of ₹1.2 crore.
Bridging the Divide, Building the Future
Addressing the leadership gap requires a multi-pronged strategy. Leading companies are moving beyond just external hiring. Internal upskilling of existing mid-career professionals is becoming crucial to cultivate domain-specific AI knowledge. This involves creating structured pathways for high-potential employees to gain expertise in MLOps, cloud AI platforms, and GenAI engineering. Collaboration between industry, academia, and government is also essential to build a sustainable talent pipeline from the ground up. For corporations, the focus must shift from simply hiring AI talent to strategically building AI capability. This includes investing in continuous training, fostering a culture of learning, and creating clear career progression for technology leaders.
