FM Sitharaman, CEA ask GCCs to move up value chain as AI threat looms - Business Standard

2026-07-09 · Source: artifical intelligence via Google News · Field: Business & Management — Corporate Strategy & Leadership, International Business & Trade, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, short

Summary

Union Finance Minister Nirmala Sitharaman and Chief Economic Adviser V Anantha Nageswaran urged Global Capability Centres (GCCs) in India to significantly move up the value chain, focusing on intellectual property creation, frontier research, and AI application development. This call comes amidst warnings from CEA Nageswaran that AI could erode India's current cost advantage if GCCs remain focused on low-cost, repetitive tasks. Sitharaman highlighted the ambitious target of establishing 5,000 GCCs by 2030, up from the current 2,100, which employ 2.3 million professionals and generate nearly \$100 billion annually. She noted that two-thirds of Fortune Global 2000 companies still lack a GCC in India, representing a vast investment opportunity. The pace of new GCC establishment has accelerated to one per day, with over half being "AI-first." The Finance Minister also advocated for geographic diversification of GCC investments beyond traditional hubs, suggesting cities like Varanasi and Mysuru, and attracting companies from East Asia, West Asia, Eastern Europe, Nordic countries, and Australasia.

Key takeaway

For executives overseeing Global Capability Centres in India, you must prioritize strategic shifts towards high-value activities. Invest in AI application development, intellectual property creation, and frontier research to mitigate the risk of AI eroding cost advantages. Your focus should evolve from mere cost efficiency to capability leadership, exploring new geographic locations and specialized ecosystems. Government support provides a runway, but your innovation drives the plane.

Key insights

India's GCCs must innovate and create IP to counter AI threats and sustain global competitive advantage.

Principles

• Treat AI as a tool, not fate.
• Build specialized ecosystems, avoid replication.
• Government support alone is insufficient.

In practice

• Develop AI applications and own product architecture.
• Lead frontier research and create intellectual property.
• Diversify GCC locations beyond metro hubs.

Topics

• Global Capability Centres
• Artificial Intelligence
• Value Chain Transformation
• Economic Development
• Intellectual Property
• Geographic Diversification

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, Consultant, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.