The New Fire
Artificial Intelligence, Geopolitics, and a Transformed World
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A transformative technology is arriving as the post-Cold War international order fragments, supply chains underpinning technological development are geopolitical, capital market valuations assume outcomes that evidence does not support, and governance lags by decades.
The technological transformation is real. The hyperscalers investing billions in AI infrastructure are not making that bet carelessly. Researchers are watching AI systems demonstrate capabilities that were considered impossible five years ago. Companies deploying AI in drug discovery, climate modeling, legal research, and software development are seeing genuine productivity improvements, not hallucinations. This is happening at a genuinely remarkable pace.
The geopolitical transformation is changing from a world where American primacy in technology, finance, and military capability was overwhelming enough to structure all other relationships to one where it is no longer so. It has been replaced by a world in which China has achieved genuine competitive capability in advanced technologies, in which the rules-based international order that American power had underwritten is actively contested, and in which the middle powers—India, Japan, South Korea, the European Union, the ASEAN constellation—are pursuing their own interests with strategic independence.
The capital transformation has never been more concentrated, globally connected, or directly entangled with geopolitical competition. The decisions being made today about where to build data centers, how to structure semiconductor supply chains, which critical mineral deposits to develop, are simultaneously investment decisions, national security decisions, and civilizational bets on which technological architecture will define the next century. Understanding them requires considering the economic, strategic, and institutional dimensions simultaneously.
Every previous transformative technology required governance that took decades to develop after the technology arrived, whether the steam engine, nuclear weapons, or the internet. AI is moving faster, and the governance lag is already visible and costly. There is a lack of international coordination, and regulatory frameworks are inadequate for systems whose behavior emerges from training data rather than from programmed logic. The geopolitical vacuum is creating a bifurcated global technology order in space, semiconductors, and the critical mineral supply chains that underpin all technology.
The world has never had more information about artificial intelligence, geopolitics, and capital markets than it does today. Yet the most consequential questions about our current moment are being systematically misread—not because the information is absent, but because the frameworks being applied to it are wrong.
The frameworks are wrong in a specific way: they are single-domain frameworks applied to multi-domain problems. They analyze each dimension of a complex, interconnected system as though it were a separable component, and then fail to understand why their conclusions keep being falsified by a reality that does not respect disciplinary boundaries.
This examines the evidence and assumptions rather than fitting the analysis to them. Many assumptions may need revision or simply be wrong. Some conclusions may be uncomfortable. More than ever, we need intellectual courage and patience with complexity.
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