India’s Global Capability Centers have a retention story worth paying attention to. Attrition fell from 13% in 2023 to 9% in 2025. That did not happen by accident, and it did not happen because of pay alone.
It reflects a broader shift in retention strategies, including greater investment in upskilling. The centers that approach this deliberately will define the next decade of GCC success.
The Mandate Has Outgrown the Model
GCCs were built on cost arbitrage: deliver the same work for less. That era is ending. 92% of GCCs now aim to deliver value beyond cost arbitrage.
Today’s GCCs are expected to own outcomes, drive innovation, and build enterprise-wide capability. Yet many still run on a workforce strategy inherited from their back-office origins. A center asked to lead cannot be staffed like a center asked to support.
This is the shift from cost arbitrage to capability arbitrage. The edge is no longer cheaper talent. It is better-built talent.
Why Learning Is the Retention Lever
Attrition is costly. For more than a decade, the top reason people quit voluntarily has been a lack of career development.
Employees have long been clear about what keeps them: a company that invested in their development. GCCs are responding. 81% are upskilling internal teams on GenAI, and 71% now treat reskilling as a core talent strategy.
Instead of hiring their way out of every skill gap, leading centers are building capability from within, a lever they fully control.
The Upskilling Paradox
Here is the twist: more training does not automatically mean more loyalty.
In EY’s global 2025 Work Reimagined Survey, employees who received more than 81 hours of annual AI training gained an average of 14 hours of productivity a week, well above the median of 8 hours. That same group was also 55% more likely to leave their organization. Advanced AI skills are in high demand, and outside offers often move faster than internal promotions.
Upskilling without a path forward can make your best people more attractive to someone else.
The AI-ROI Problem Hiding in Plain Sight
The stakes go beyond retention. Organizations may be leaving up to 40% of potential AI productivity gains unrealized because technology adoption is outpacing talent readiness.
That changes how upskilling should be viewed. It is not an HR expense. It protects the AI investments your business is already making.
It Is a Design Problem, Not a Budget Problem
GCCs already invest heavily in talent and workforce. The money is there. What separates strong L&D functions from average ones is design, not volume: personalized learning, new pathways as needs emerge, and visible leadership backing. (SHRM, Skills (R)evolution)
Retention by Design: Four Principles for GCC-Ready Learning
Closing the gap takes a deliberate approach. Four principles define what good looks like.
1. Diagnose. Start where skill gaps genuinely threaten retention and AI returns, not where training is easiest to roll out. A sharp diagnosis keeps budget focused on the capabilities that matter most.
2. Design for AI-native roles. Build learning paths around the roles your GCC is actually scaling into, such as AI/ML, agentic workflows, and domain-plus-AI hybrid skills. Generic content will not prepare people for work that barely existed two years ago.
3. Deliver with senior sponsorship, at scale. Visible leadership support signals that growth is real. It also connects learning to career pathways, which is the answer to the upskilling paradox.
4. Sustain through outcome tracking. Measure success by retention and capability gains, not completion rates. If GCC operations are judged on outcomes, learning should be too.
Ready to build learning that keeps your best people?
Apposite Learning partners with GCCs to design upskilling, L&D strategy, and AI-adoption programs built around retention and real career growth.