Bloomberg launched a new monthly podcast series this week that asks a question Western policymakers are beginning to confront: Can countries really go it alone on artificial intelligence, or does the future belong to those willing to cooperate strategically?
The debut episode of "Emerging," hosted by Menaka Doshi and Haslinda Amin, focuses on India's position in the global AI race. Fractal Analytics Co-founder Srikanth Velamakanni argues that the conventional wisdom about AI sovereignty—the idea that nations must develop independent, homegrown AI capabilities—misses the point entirely.
The Sovereignty Trap
Countries worldwide are rethinking what AI sovereignty actually means. The instinct is understandable: whoever controls cutting-edge AI technology shapes the future. Yet Velamakanni's central argument challenges this assumption. True sovereignty isn't about complete self-sufficiency. It's about strategic positioning within a competitive global ecosystem.
India faces a particular challenge. As the world's most populous country, it has enormous potential—a massive talent pool, growing computational resources, and an economy increasingly integrated into global tech markets. But it also competes in a race dominated by the United States and China, two nations with deeper capital reserves, established tech ecosystems, and years of head start.
Smart Interdependence Over Isolation
The Bloomberg series explores why smaller and mid-sized economies might achieve more by embracing what Velamakanni calls "smart interdependence" rather than pursuing the impossible goal of complete AI independence. This approach recognizes economic reality: in a globalized world, absolute self-sufficiency in advanced technology is neither achievable nor efficient.
The framing matters. Countries that obsess over building entirely domestic AI capabilities risk wasting resources on redundant infrastructure while falling further behind in actual innovation. Alternatively, nations that strategically partner with allies, secure critical supply chains, and develop specialized expertise in high-value AI applications can punch above their weight.
For India specifically, this means leveraging its strengths—software engineering talent, growing venture capital, and a massive domestic market for AI applications—while remaining pragmatic about where global partnerships make sense. It's a market-based approach to geopolitical competition, not a command-economy model.
The Broader Implications
Bloomberg's new "Emerging" series arrives at a moment when governments worldwide are grappling with AI policy. The podcast's focus on emerging economies and rising powers reflects a shift in how the world thinks about technological competition. It's no longer simply about the U.S. versus China. It's about how dozens of nations position themselves within an AI-driven global economy.
Menaka Doshi's investigation into India's AI challenge sets the tone for what Bloomberg promises will be an ongoing examination of how rising economies shape the global future. The first episode airs on the same day the series launches, making the India case study the immediate focal point.
Why This Matters:
The AI sovereignty debate carries real consequences for how governments allocate resources and structure their tech policies. Nations that pursue wasteful, autarkic AI development strategies will drain public budgets without competitive returns. Conversely, countries that embrace strategic interdependence while protecting genuine security interests may accelerate innovation and economic growth. For India and similar emerging economies, the choice between isolation and smart partnership will determine whether they become genuine competitors in AI or permanent consumers of foreign technology. Bloomberg's framing—questioning the mythology of complete self-sufficiency—reflects a growing recognition that effective geopolitical strategy requires acknowledging economic interdependence, not pretending it doesn't exist.