Bloomberg's new podcast series is asking hard questions about who gets left behind in the global race for artificial intelligence dominance. The video "Emerging: AI Sovereignty Isn't 'Self-Sufficiency'" posted on July 10th, 2026, examines India's position in a competition dominated by the United States and China—and whether the world's most populous country can build genuine competitive capacity rather than simply chasing technological independence.
The question matters because AI isn't like past technologies. It's becoming infrastructure. It's becoming power. And right now, the distribution of that power is deeply unequal.
Bloomberg launched Emerging, a monthly podcast series hosted by Menaka Doshi and Haslinda Amin, to track how rising economies are shaping the global future. In the first episode, Doshi examines India's AI challenge by speaking with Srikanth Velamakanni, Co-founder of Fractal Analytics, about why countries are rethinking what AI sovereignty actually means.
The Problem With Going It Alone
Velamakanni's central argument cuts against the nationalist framing that dominates policy discussions in capitals worldwide. Self-sufficiency—the idea that a country must build its entire AI ecosystem in isolation—isn't realistic. It isn't even desirable. What matters instead is what he calls "smart interdependence."
This distinction matters enormously for countries like India. The U.S. and China have invested heavily in foundational AI research, computing infrastructure, and talent pipelines. They've built ecosystems. Most other nations haven't, and the gap widens every quarter. Trying to replicate that in isolation would mean diverting resources from other pressing needs—healthcare, education, infrastructure—with little guarantee of success.
Why India's Position Is Distinct
India isn't starting from zero. The country has significant software engineering talent, a growing tech sector, and deep integration into global supply chains. But it also faces constraints. Computing power remains expensive and concentrated. Access to cutting-edge research happens through partnerships, not domestic development. And the brain drain—talented engineers leaving for opportunities in Silicon Valley or Beijing—continues.
The framing of AI as a sovereignty issue, rather than a development issue, can actually harm countries trying to catch up. When governments insist on building everything domestically, they often end up with inferior technology, slower deployment, and less ability to participate in the global AI economy that's already forming.
Smart Interdependence as Strategy
Velamakanni's concept suggests a different path. Rather than viewing partnerships as weakness, treat them as strength. Participate in global AI governance. Build capacity in areas where your country has genuine advantage—India's software talent, for instance. Create the regulatory and educational infrastructure that attracts investment and talent. Develop applications and services that use AI to solve local problems.
This isn't surrender. It's strategy. Countries that recognize their position in a genuinely global system and act accordingly—building leverage through specialization and partnership—will likely end up with more actual power than those that waste resources on autarky.
Why This Matters:
The way countries approach AI development over the next five to ten years will shape economic opportunity, job creation, and geopolitical influence for decades. India, with 1.4 billion people and a rapidly growing middle class, has enormous stakes in this competition. If the country pursues AI independence at the cost of slower development and isolation from global research networks, millions of people will feel that cost in the form of fewer high-skill jobs, less competitive services, and reduced access to AI-driven solutions. Conversely, if India positions itself strategically within global AI ecosystems—leveraging its talent, building partnerships, and developing regulatory frameworks that attract investment—it can create genuine competitive advantage. The debate between self-sufficiency and smart interdependence isn't academic. It's about whether developing nations can participate meaningfully in the technology that's reshaping economies, or whether they'll be locked into dependent, subordinate roles.