Ideas Weave Every Narrative with AI.
India’s soaring GDP growth under Modi’s economic model masks a brutal reality: millions of young people are unemployed and unemployable. The issue isn’t just capital-intensive policy, but an education system that churns out obsolete degrees, turning a demographic dividend into a demographic liability.
The American wealth advantage isn’t a trick of inequality—it’s a product of sheer output per worker. But that advantage is fueled by the very healthcare system everyone hates. The uncomfortable trade-off: cut healthcare spending without replacing the innovation engine, and the wealth advantage shrinks. This changes how you think about policy debates.
Despite billions invested in AI, GDP growth shows zero evidence of a productivity boom. But that doesn’t mean AI is failing. It means heavy users are quietly working less instead of producing more. We aren’t failing to measure a revolution in output; we’re just stuck measuring sweat instead of leisure.
Big Tech’s $2.4 trillion in AI spending commitments, plus $3 trillion in existing debt, equals 15% of US GDP—a capital trap driven by game theory, not ROI. This isn’t an AI boom; it’s a hostage situation that starves the rest of the economy. The real bubble isn’t in technology—it’s in balance sheets.
Frontier models can parse GDP reports with eerie accuracy, but they miss the political assumptions and human judgments that give those numbers meaning. The real danger isn’t that AI will get it wrong—it’s that it will get it exactly right according to flawed data, creating a false sense of certainty in economic decision-making.