India’s Global Capability Centre (GCC) ecosystem is heading into a defining decade, with AI adoption accelerating faster than talent systems can keep up. According to NLB Services’ new report, “Workforce 2.0 Reset – India’s GCCs Go AI-Native,” the sector is on track to employ 3.46 million professionals by 2030, adding 1.3 million new jobs as AI moves from pilot stages into full-scale enterprise deployment.
AI Shifts GCCs From Delivery Engines to AI-Native Enterprises
More than 58% of GCCs have moved beyond pilots and begun embedding AI into daily operations. By 2026 alone, the sector is expected to grow 11%, pushing India’s GCC workforce to 2.4 million.
Nearly 70% of GCCs invested in Generative AI (GenAI) in 2025, with a majority planning to establish dedicated AI safety, governance and oversight teams by 2026. The transformation is quickly reshaping job profiles, operating models and strategic priorities across the GCC landscape.
New Roles Rise as Legacy Positions Decline
AI deployment is pushing organisations to redesign roles and create entirely new functions. The report highlights emerging job categories:
Cybersecurity & AI Governance Architects (29%)
Prompt Engineers (26%)
GenAI Product Owners (22%)
AI Policy & Risk Strategists (21%)
At the same time, several legacy roles are being phased out due to automation:
L1 IT Support – 75% decline
Legacy Application Development – 74%
Manual QA – 72%
On-Prem Infrastructure Management – 67%
This shift reflects India’s move from traditional IT execution to a more strategic, innovation-oriented GCC workforce.
AI-Driven Growth Extends Beyond Tier-1 Cities
India’s GCC map is undergoing rapid geographical redistribution. Rising infrastructure quality, lower attrition, and cost advantages are driving expansion into Tier-2 and Tier-3 cities such as Coimbatore, Ahmedabad and Bhubaneswar.
By 2030:
39% of the GCC workforce will operate from Tier-2/3 hubs
These regions will generate 715,000 net new jobs
Tier-1 cities will remain leadership and R&D centres, but delivery and execution strength is shifting to distributed locations.
Continuous Learning Becomes Non-Negotiable
As AI becomes embedded in every workflow, upskilling has turned into a strategic business priority:
80% of GCCs are funding continuous learning & internal mobility programs
Top talent development models include:
Role-specific micro-credentials (18%)
Corporate academies (17%)
Embedding AI skills within career frameworks (16%)
Additionally, 38% of GCCs are hiring external GenAI talent, while 22% are building in-house AI academies.
Leadership Maturity Now Defines GCC Competitiveness
Cities like Hyderabad (70%) and Bengaluru (69%) show the strongest AI leadership readiness. Their GCCs demonstrate:
Clear AI vision
Governance ownership
Structured budget allocation
Enterprise-wide adoption roadmaps
Industries leading this shift include Telecom & Internet Services (70%), BFSI & Fintech (69%), and Media & Gaming (67%).
AI Governance Becomes a Core Institution
With AI systems influencing decisions across compliance, risk, customer service, and engineering, governance structures are becoming mandatory:
33% of GCCs have formed centralized AI CoEs or governance committees
29% manage AI oversight within business units
Delhi/NCR and Bengaluru lead with the highest maturity in governance centralization
This governance-first approach is redefining India’s AI credibility on the global stage.
India’s GCC Ecosystem Enters Its Most Critical Phase
NLB Services notes that India has reached a pivotal juncture in the GCC 4.0 evolution: moving decisively from experimentation to scaled, AI-native operations. Progressive state policies, strong digital infrastructure, and a deep technical talent base are accelerating this growth.
As GCCs institutionalize AI across engineering, analytics, cybersecurity, and governance, India is consolidating its position as the world’s leading hub for AI-enabled enterprise capability.
