Punctuated Equilibria in Artificial Intelligence: The Institutional Scaling Law and the Speciation of Sovereign AI

Researchers challenge the assumption of continuous AI progress, proposing that AI development follows punctuated equilibrium patterns with rapid phase transitions. They introduce the Institutional Scaling Law, proving that larger AI models don't always perform better in institutional environments due to trust, cost, and compliance factors.