#338 Amith Singhee: Can India Catch Up in AI? IBM's Amith Singhee on What It Will Take
From Eye On A.I. by Craig S. Smith
April 24, 2026 · 47 min · Episode 338
About this episode
Amith Singhee discusses India's position in the global AI race and the necessary steps to enhance its infrastructure and capabilities.
What if the country that trains the world's engineers finally built the infrastructure to match its talent? In this episode of Eye on AI, Craig Smith sits down with Amith Singhee, Director of IBM Research India and CTO of IBM India and South Asia, to explore where India actually stands in the global AI race and what it will take to close the gap. Amith gives an honest, ground-level assessment of why India has been slow to compete. The talent has always been there. But until recently, the investment, the compute infrastructure, and the institutional intent hadn't come together in a sustained, coordinated way. That's changing, and Amith explains exactly what's different now. He walks through IBM Research India's 27-year presence in the country, the research it's doing on foundation models, hybrid cloud AI deployment, agentic systems, and quantum computing. He also explains why building AI from India doesn't just help India. Working with less data, less compute, and more linguistic diversity forces better engineering and makes IBM's models more generalizable for the entire world. We also get deep into the technical frontier. Why catastrophic forgetting is one of the key unsolved…
People in this episode
Host: Craig S. Smith
Guest: Amith Singhee
Topics covered
- AI development
- India's AI infrastructure
- IBM Research
- quantum computing
- agentic systems
- machine learning
Keywords
- AI
- India
- IBM
- quantum computing
- machine learning
- infrastructure
- agentic systems
- catastrophic forgetting
Mentioned in this episode
Organizations: IBM
Places: India, South Asia
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