Indian GCCs prioritize internal AI retraining as roles evolve
Indian global capability centres are shifting toward retraining current employees in artificial intelligence rather than filling most needs through outside hiring. A Dell and Zinnov report estimates that 55% of routine GCC work is already exposed to AI automation and that 60% of the workforce may need new skills by 2030. Companies are moving staff toward engineering, product development, and business problem-solving as repetitive tasks shrink.
A Dell–Zinnov study cited in the report indicates that more than half of routine tasks in Indian global capability centres are already susceptible to AI automation, and by 2030 three-fifths of their staff may need fresh skills. Consequently, firms are redirecting employees toward engineering, product creation, and business problem-solving as repetitive duties decline.
Catalyst Brands India describes a staged internal upskilling path, from basic AI understanding to fluency, then enterprise solutions and operational redesign. Quess data shows adjacent technical roles evolving—data scientists toward model operations, data engineers toward applied AI, cloud engineers toward platform engineering—while Broadridge India has broadened recruitment beyond traditional IT services toward product and engineering firms and Tier-II campuses.
This shift could affect current GCC employees, especially those in repetitive roles, by making continuous learning and role mobility more important. Workers with adjacent technical foundations may find new paths into AI engineering, while others may face pressure to reskill quickly. It may also influence hiring pipelines, colleges, and local tech ecosystems as firms value adaptable skills over static headcount. The broader impact may depend on how evenly training access is distributed.