Artificial intelligence relies on one of the most complex industrial systems ever built. From chip design and lithography to semiconductor manufacturing and hyperscale data centers, the global AI supply chain reveals how machine intelligence ultimately depends on materials, infrastructure and geopolitics.
Artificial intelligence appears weightless, yet it runs on energy-hungry machines nearing physical limits. As moving data becomes costlier than computing it, engineers are turning from electrons to photons. This shift toward light-based hardware may determine the scalability, economics, and geopolitics of AI.
As artificial intelligence continues its exponential growth, the world is approaching a critical threshold: the electricity required to move data between chips is fast approaching and in some cases surpassing, the power consumed by the computations themselves.
When Warren Buffett speaks, markets listen. His annual letters are dissected line by line, his investment choices treated as signals of economic truth. Yet far from the spotlight, a far larger and arguably more consequential investor shapes global capitalism with almost no noise at all. Norway’s Government Pension Fund Global — often called the world’s largest sovereign wealth fund — does not try to beat the market. It is the market.
Quantum computing is often presented as a technological race: who has the most qubits, the lowest error rates or the boldest scientific claims. That framing is misleading. The real story unfolding in 2025 is not about hardware benchmarks, but about how societies choose to organize technological power.
