AI SOVEREIGNTY FOR INDIA PRESENTLY IS TOO FAR STRETCHED!

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  • Since time immemorial, humankind has witnessed epochal developments perennially hugely benefiting in more than one way. What was hitherto considered impossible has seen the light of day through human ingenuity that amazes even now. How humankind completely owned up to the time-tested adage – necessity is the mother of all inventions – gets further concretized by innovative advancements that defy logic/sense. The present-day modern world is defined by some of the most advanced cutting-edge technologies promising to further the increasingly restless quest for newer inventions. As we know, the advent of artificial general intelligence (AGI or AI) promises to alter revolutionarily in the days ahead. Let’s dwelve deep to comprehend how.

INDIAai

PC: INDIAai

  • In the fast-unfolding AI scenario, where does India stand, though? For once, we must be realistic about AI sovereignty. Given where we are presently, 50% of the job done on the issue will be creditable. Almost every nation except the US is constrained by AI sovereignty, able to develop and deploy AI only so far as global tech supply chains, cloud infra, and chip exports permit. Consider China. At the start of last year, its DeepSeek AI models were disrupting US markets by outpacing established chatbots and prompting stock gyrations. This month, China’s ByteDance released Seedance 2.0, an advanced text-to-video generation model that has gone viral domestically and caught global attention for its film-quality outputs.

Key points: AI infrastructure discussion at Global India AI summit

PC: MediaNama

  • Further, Hollywood studios and rights holders have already raised copyright concerns, arguing that such models operate without meaningful safeguards against infringement. Despite the capability on display, China’s AI ecosystem remains only partly sovereign – heavily dependent on foreign-made high-end chips that Washington can restrict. India is even further from AI sovereignty. It doesn’t yet possess a homegrown foundational model of anywhere near world-class scale, nor does it have the sprawling, hyperscale data-centre capacity needed for large-model training and inference at scale. That’s why the Adani Group’s announcement of a planned $100bn investment in renewable-powered AI data centres and a sovereign cloud platform by 2035 is significant.

Adani, Google partner to build India's largest AI data center

PC: NewsBytes

  • This commitment, though stretched over a decade, comes amid wider interest in India’s AI infra build-out: the government is reportedly targeting up to $200bn in data-centre investments to make India a global AI hub. Already, Adani has explored investing in Google’s AI data-centre projects in India, signalling private-sector appetite to add compute muscle. Meanwhile, worldwide AI development is exploding. AI is no longer a novelty. Tools like Claude’s latest upgrade are reshaping professional work, while video models such as Seedance now unsettle creatives. India’s advantage, a huge talent pool, gives it one pillar of strength. But without serious investments in compute and foundational model research, it will only ever achieve half-sovereignty. We must build further momentum on the hot subject, backed by huge investments.