For much of the past decade, the rise of artificial intelligence appeared to be governed by inputs that diffuse quickly. Advances in architectures, algorithms, training techniques, and data practices spread rapidly through academic papers, open-source code, and global talent markets. Because these inputs were highly replicable and only weakly tied to geography, it was natural to assume that AI capability would spread broadly across countries and firms. That assumption no longer matches reality.
