India's AI deployment ambition needs robust power grid, supply chain: Report
New Delhi, May 25
India needs a coordinated national strategy combining resilient power system, competitive semiconductor market and computing supply chain for large‑scale AI infrastructure deployment, a new report said on Monday.
The report from Applied Materials and AMCHAM India advocated a framework with three pillars -- a stronger, more resilient electricity grid for AI workloads, an energy‑efficient computing supply chain from algorithms to materials, and development of globally competitive semiconductor markets.
The computing supply chain should span from algorithms and system design to semiconductor equipment and materials, whereas markets will help translate infrastructure capability into sustainable economic growth.
As India scales AI and semiconductor ambitions, it has structural advantages such as a large engineering talent pool, a digital economy of over one billion users and policy support, said the report.
India's policy framework has mobilized capital and institutional support for both AI and semiconductors.
The report, however, flagged that AI ambition is constrained by physical infrastructure. Advanced computing workloads require large, continuous and reliable supplies of electricity.
"We urge energy policymakers to consider that the electricity grid is the single largest constraint on India's AI ambitions. Non-fossil sources represent over 52 per cent of installed capacity," said Ranjana Khanna, Director General CEO, AMCHAM India.
The report's central proposition was that AI infrastructure must be planned and executed as a connected national system.
"Semiconductor design and manufacturing, compute deployment, research and innovation, and power generation and delivery are interdependent. Weakness in any one layer constrains the entire system; strength across all layers enables scale, efficiency, and resilience," the report detailed.
India's planned fabrication capacity with Rs 1.6 lakh crore in investments under the India Semiconductor Mission (ISM) must be supplemented with deeper know-how, the report urged.
"ISM 2.0's explicit focus on indigenous equipment and materials is the strategy. We urge that this be prioritised with the same urgency as fab expansion itself," said Ranjana Khanna.
— IANS
Reader Comments
As someone working in the semiconductor industry, this resonates deeply. India has incredible talent but infrastructure is a real bottleneck. The 52% non-fossil capacity is great for sustainability, but AI workloads need consistent baseload power that renewables alone can't always provide. Need a balanced approach with nuclear or gas backup.
Good points but I'm skeptical about the execution. We've had the India Semiconductor Mission for years now and still no functional fabs. The report says Rs 1.6 lakh crore investment is planned, but where is the actual progress? We need less reports and more ground-level action. The talent pool is there, but we seem to get stuck in planning phases.
It's refreshing to see a report that looks at the whole ecosystem rather than just one piece. The interdependent layers mentioned - power, compute, design, materials - that's exactly what a national strategy needs. India's digital economy is massive but we can't run AI on ambition alone. Let's hope ISM 2.0 really prioritizes indigenous equipment as stated.
One thing missing from this discussion: skilled workforce for the power grid itself. We have great engineers graduating every year, but how many specialize in power systems engineering for modern data centers? The report mentions talent pool but we need to upskill people specifically for this intersection of AI infrastructure and energy. Otherwise, it's just theory.
Finally, someone said it! The electricity grid IS the biggest constraint. I work in data center operations and we face power quality issues regularly. The report is spot on that AI
We welcome thoughtful discussions from our readers. Please keep comments respectful and on-topic.