Neysa stated that the majority of the capital will be allocated to the development of extensive GPU clusters, encompassing compute, networking, and storage infrastructure.
Officials caution that talent alone will not secure autonomy, as foreign semiconductor dependence and infrastructure gaps define India’s sovereign AI calculus.
Speakers warn that as AI agents enter finance and public services, voluntary safeguards may not be enough.
As AI systems spread across public and private sectors, panellists warn that soft law may not be enough.
Artificial intelligence is moving faster than India’s education and workforce systems can absorb, with leaders at the India AI Impact Summit warning that narrow technical training and traditional degrees are losing relevance as automation spreads.
