India’s GCC talent sector is undergoing its sharpest transformation yet, according to the new “India’s GCC Landscape 2025” report published by NLB Services. The report tracks how AI maturity, workforce disruption and emerging Tier-2 hubs are reshaping enterprise strategy. The numbers reveal a decisive reset that will influence how global companies build capability in India over the next decade.
AI adoption crosses pilots, but integration lags
As per the NLB report, AI has already moved beyond experimentation inside India’s GCC network. A full 58% of GCCs have crossed the pilot stage. Moreover, 31% have entered structured deployment and 13% have embedded AI in workflows. Still, 17% remain in pilots and 12% have not prioritised AI yet.
Leadership confidence is high. Vision and roadmap clarity stands at 68%, and budget ownership for AI reaches 67%. Yet execution gaps remain sharp. Only 62% show partner–vendor readiness. AI ethics and governance stand at 54%, while change management drops to 50%.
City-level maturity is uneven. Bengaluru leads with 34% structured and 18% embedded deployments. Hyderabad follows at 33% and 16%. Mumbai stands at 32% and 10%.
The GCC workforce enters a redesign cycle
The report shows that AI adoption will increase GCC workforce headcount by 11% in the next 12 months, taking it to 2.4 million. By 2030, the sector is projected to add 1.3 million new jobs, reaching 3.46 million employees.
However, job redesign is accelerating. Mid-level tech roles face 27% redesign. Junior tech stands at 25%. Mid-level non-tech hits 23%, junior non-tech 22%, and senior leadership 19%.
New roles dominate the demand curve. AI Governance Architects lead at 29%. Prompt Engineers follow at 26%. GenAI Product Owners are at 22%, AI Policy & Risk Strategists at 21%, and GenAI Content QA Leads at 19%.
Legacy roles are rapidly fading. L1 IT Support shows a 75% deprioritisation rate. Legacy Application Developers stand at 74%. Manual QA/UAT testers are at 72%. ERP Maintenance Engineers at 69% and On-Prem Infrastructure Managers at 67%.
Additionally, the tightest talent gaps appear in Core Operations (13%) and Leadership (11%). Business-integrated roles follow at 10%, tech-enabling roles at 9%, while AI-native roles have the smallest gap at 8%.
GenAI skills drive inflation and new learning models
The NLB report notes that attrition stands at 26% across GCCs, while AI wage inflation has hit 25%. Demand for AI, cloud and data skills is outpacing supply, especially in Bengaluru and Hyderabad.
As a result, GCCs are shifting to structured skilling systems. Role-specific reskilling journeys now reach 18%. Corporate academies stand at 17%. Embedding AI skills into performance frameworks reaches 16%. AI-powered learning tools account for 15%, internal job rotation 12%, and external partnerships 12%.
Meanwhile, 38% of GCCs rely on IT-BPM/AI vendor partnerships for rapid scale. Another 22% are building in-house GenAI academies. 20% are collaborating with universities and labs.
Tier-2 India becomes the new delivery backbone
A major shift identified in the NLB report is geographic. By 2030, 39% of the GCC workforce will operate from Tier-2/3 cities, as Tier-1 hubs retain 61% for strategy, R&D and leadership.
Tier-2 cities offer strong advantages: office rents 30–50% lower, attrition 10–12% lower and talent costs 20–35% lower. Because of this, GCCs are expanding shared services, AI ops, analytics and compliance delivery outside metros.
State policies amplify the shift. Karnataka targets 500 new GCCs. Maharashtra aims for ~400 new centers and ~400,000 jobs. Gujarat plans ~250 new GCCs. Uttar Pradesh projects ~2 lakh jobs. Tamil Nadu has ~305 GCCs. Odisha is planning ~100 GCCs by 2036.
India’s GCC model moves from cost to capability
According to the NLB report, India now has 600,000+ AI professionals, projected to reach 1.25 million by 2027, forming 16% of global AI talent. With more than 38,000 GPUs, 2,000+ datasets, and multiple Centers of Excellence, India’s AI infrastructure is unmatched in the Global South.
The GCC is no longer a cost centre. As the report concludes, it is becoming a global control tower powered by AI, governed by strong policy and scaled through India’s deep talent ecosystem.
