The Global Power Shift | India’s Rise in AI & Semiconductors

Contents

Executive Summary

This AMD-hosted panel discussion examines India's emerging position as a global center for AI and semiconductor development. The speakers—experts in policy, supercomputing, manufacturing, and industrial ecosystems—argue that India's success depends not on single actions but on coordinated alignment across silicon design, software infrastructure, manufacturing capability, policy frameworks, and talent development. The window of opportunity is time-bound, requiring decisive execution rather than momentum alone.

Key Takeaways

India's window is open but time-bound. Momentum and will exist, but the combination of capital, talent, manufacturing infrastructure, and policy alignment must happen simultaneously over the next 3–7 years, not sequentially.
"Strategic autonomy" over independence. India should identify 2–3 critical areas where it builds domestic capability (e.g., data sovereignty, core chip IP, critical manufacturing) while collaborating globally elsewhere—maximizing both security and innovation speed.
Design to Global Products, Not Just Apps. India's proven ability to build fast-follower consumer apps must evolve into building globally competitive infrastructure and enterprise products. This requires 10–20x higher capital commitment and international ambition.
PPP De-risks Infrastructure, Not Business. Government's role is to invest in shared research, computing infrastructure, and open standards—creating a platform from which private sector builds profitable businesses. Direct business subsidies are inappropriate; infrastructure investment is not.
Talent and Skilling are Non-Negotiable. India's largest competitive advantage is its talent pool and culture of innovation. Converting that into product-building and scaling requires massive investment in skilling, ease of doing business, and enabling product entrepreneurs—not just service providers.

Key Topics Covered

India's AI & Semiconductor Ambitions: National policies, the India AI Mission, and semiconductor fab initiatives
Intellectual Foundation & Talent: Skilling, education transformation, and knowledge commercialization
Manufacturing & Supply Chain Resilience: Private sector readiness, capital availability, ecosystem development, and localization strategies
Sovereign AI Capability: Strategic autonomy, intellectual property (IP) ownership, and security vs. collaboration balance
Global Competitiveness: Positioning India beyond "fast follower" status; strategic bets for 2030
Public-Private Partnership Models: Reference to the U.S. Genesis program as a framework for collaboration
Sustainability: Integration of sustainability into chip design and supply chain decisions
Emerging Opportunities: Optical interconnects, co-packaged optics, and niche technology leadership

Key Points & Insights

Silicon, Software, and Policy Must Align: True AI leadership requires simultaneous development across three pillars—none can succeed in isolation. India has strengths in talent and design but must build manufacturing depth and coherent policy frameworks.
Credibility Through Scale, Not Announcements: Dr. Vive Kumar Singh emphasized that credibility in deep tech comes from committed scaled deployments, not policy declarations alone. The India AI Mission (₹10,000+ crores over 5 years) and semiconductor ecosystem initiatives demonstrate this intent.
India Lacks IP Ownership: Currently, most semiconductor IP resides outside India. Building indigenous IP generation and ownership is critical but will take time. This is a key differentiator for true sovereignty.
Strategic Autonomy Over Complete Independence: Rather than pursuing isolated autarky, India should pursue "strategic autonomy"—identifying critical sectors to control internally while remaining open to collaboration in non-critical areas. This balances national security with global innovation.
Private Capital is Flowing, But at Different Scale: Rahul Girk noted over $100 billion+ in private sector commitments for data centers and AI infrastructure, alongside government funds. However, this lags commitments in competing nations by an order of magnitude (e.g., $100–200 billion pools elsewhere vs. India's 10–20 billion starting point).
India's Strength: Fast-Follower Apps & Scale: India excels at rapid application development and has become a top-3 nation for building consumer apps globally. The strategic move is scaling this competency to global enterprise and infrastructure products, not just domestic consumer services.
Niche Leadership is Realistic: Rather than compete at cutting-edge 2nm node manufacturing (where others lead), India can establish leadership in supporting technologies—e.g., optical interconnects, co-packaged optics, supply chain components—where global capacity gaps exist.
Education Transformation is Underway: The shift from memory-based learning to problem-solving and product creation is happening via online platforms, startup ecosystems, and university incubators. This is the best time for students to acquire skills, given free access to resources and supportive ecosystems.
Public-Private Partnership (PPP) Model: The U.S. Genesis program offers a template—government de-risks enterprise by investing in infrastructure and open collaborative frameworks (not direct business subsidies), enabling private sector to build innovations on top.
Sustainability as Core Design Principle: Sustainability should not be a trade-off but a foundational design goal in chip manufacturing and data center infrastructure, requiring intentional commitment while acknowledging unknowns and course-correcting.

Notable Quotes or Statements

Jaya Jagadesh (AMD India, Moderator): "True AI leadership itself happens when silicon, software, systems and policy all of these aspects have to come together to achieve that leadership—no one aspect can really get us there."
Dr. Vive Kumar Singh (NITI Aayog): "Credibility doesn't come only from announcements... it's coming as part of commitment for scaled deployments for scaled growth accelerated growth."
Dr. Thomas Zakaraya (AMD SVP): "For a country with the history of India, the ambition of India, the talent of India and now the will of India, there is nothing wrong with aspiring to be strategically deciding where India can be world-leading."
Rahul Girk (Mowglick CEO): "The move that needs to happen is the scale of ambition beyond India into the global platform... we need to up the game on global and we would require a significant amount of public private [collaboration]."
Dr. Vive Kumar Singh: "This is the best time to be a student... you have plenty of information, you want to learn anything, you want to acquire a skill, you always have resources and most of these resources you really don't have to pay for."
Dr. Thomas Zakaraya: "If you follow anybody... you are destined at best to be number two at best because there's always somebody ahead of you."

Speakers & Organizations Mentioned

Name	Role/Affiliation
Jaya Jagadesh	Senior Vice President, Silicon Design Engineering & Country Head, AMD India
Dr. Thomas Zakaraya	Senior Vice President, Strategic Technical Partnerships & Public Policy, AMD Inc.; former director, Oak Ridge National Laboratory
Prof. Vive Kumar Singh (also "Vikram")	Senior Adviser, Science & Technology, NITI Aayog (National Institution for Transforming India)
Rahul Girk	Founder & CEO, Mowglick (industrial supply chain platform)

Organizations & Initiatives Referenced:

AMD (moderator/organizer)
Oak Ridge National Laboratory
NITI Aayog
India AI Mission (₹10,000+ crores, 5-year initiative)
Mowglick (industrial supply chain & manufacturing platform)
NASSCOM Future Skill Prime (online learning aggregator)
IIM Udaipur (audience member: teaches AI & sustainability)
U.S. Genesis Program (grand challenges public-private partnership)
National Supercomputing Mission (India)

Technical Concepts & Resources

Concept/Technology	Context
Exascale Supercomputing	Dr. Zakaraya led deployment of Frontier (first exascale supercomputer); cited as model for India's National Supercomputing Mission
2nm Node Technology	Current leading-edge chip manufacturing; concentrated in US, Taiwan (TSMC), Samsung. India not competitive here near-term.
Co-Packaged Optics (CPO)	Optical interconnect technology for data center infrastructure; identified as niche area where India can establish supply chain leadership
GPU, CPU, SoC Design	AMD India's contributions; recognized as India's strength (design vs. manufacturing)
HPC (High-Performance Computing)	China's 20–25 year intentional investment in HPC infrastructure enabled transition to AI dominance; model for India's planning
Generative AI, Retrieval Augmented Generation (RAG)	Mentioned as enabling technology for student learning and knowledge access
AI Data Localization (AI CoSH)	Indian government platform for creating India-centric AI applications and datasets
Tax Holidays for Data Centers	Policy incentive recently announced by Indian government
Vertical Stack Manufacturing	Indian industry model: integrated chip design → manufacturing → systems → products (vs. Western horizontal specialization)
Open Standards (Helios example)	Framework enabling private sector participation in globally competitive components

Session Context & Framing

Event: AMD-hosted panel at an AI summit (exact summit name not stated in transcript)
Focus: Global power shift in AI/semiconductors; India's positioning
Audience: Includes students, industry professionals, and policymakers
Tone: Optimistic but realistic; emphasizes execution urgency and aligned action across sectors
Duration: Approximately 90 minutes (concludes with 1 audience question due to time constraints)