Why Global Tech Giants Are Rushing to India? Ft. McDonald’s CTO & ZEISS India CFO

2026-03-07 · Source: AIM Network · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

A discussion featuring Dr. Dura Praash Devraunda, Head of Technology at McDonald's, and Dhaval Radia, CFO at Z India, explored the evolving landscape of Global Capability Centers (GCCs) in India. Key topics included the misconception that GCCs are merely cost-efficient execution arms, with both leaders emphasizing their transition into strategic, outcome-driven "global value centers." The conversation addressed recent layoffs in big tech and Indian IT, attributing them to parent company recalibrations and AI automation, which shifts routine work while expanding higher-order tasks in India. Critical skill gaps identified include domain expertise, strategic thinking, financial implications of AI (e.g., "token budget"), and cultural sensitivity for global collaboration. Emerging roles demand strategic leadership, end-to-end product ownership, data/AI governance, and interdisciplinary orchestration. Academia is actively developing programs to nurture future GCC leaders, though a significant talent supply-demand gap persists due to rapid innovation and localized talent pools.

Key takeaway

For CTOs overseeing global operations, recognize that Indian GCCs are no longer just cost centers but strategic partners capable of driving advanced AI initiatives. Your teams should focus on empowering these centers with end-to-end orchestration mandates and invest in developing talent with strong domain expertise, strategic thinking, and cultural acumen. This shift will unlock significant value, moving beyond mere cost arbitrage to co-create innovative solutions and drive global strategy from India.

Key insights

GCCs in India are evolving from cost centers to strategic global value centers, driven by advanced AI and a skilled workforce.

Principles

• GCCs must transition from end-to-end ownership to end-to-end orchestration.
• AI automation shifts routine tasks, creating demand for higher-order work and new roles.
• Talent development requires a global mindset and interdisciplinary collaboration.

Method

Organizations should focus on internal skill upgradation and strong learning & development programs, alongside external hiring, to address the talent gap in GCCs.

In practice

• Prioritize hiring for strategic leadership and domain expertise.
• Invest in data and AI governance frameworks.
• Foster cultural sensitivity for effective global team collaboration.

Topics

• Global Capability Centers
• AI Automation
• Talent Skill Gaps
• AI Governance
• India's Digital Infrastructure

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

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Editorial summary, takeaway, and curation by AIssential. Original article published by AIM Network.