The Governance Gap Stalling the AI Economic Boom

Economic historian Joel Mokyr suggests that societal progress depends on the co-evolution of three distinct layers: codified scientific knowledge, human skills, and institutional governance. Historically, these layers reinforced one another. During the Industrial Revolution, advances in thermodynamics necessitated new corporate laws and labor standards, ensuring that governance evolved in tandem with engineering. Today, however, that synchrony has shattered. While digital tools and AI accelerate knowledge production and skill acquisition at breakneck speeds, governance remains tethered to slow, human-driven bureaucratic cycles.

The Cost of Institutional Friction

This lag is measurable. While Moore’s Law dictates that computing costs halve every 18 months, the European Union’s legislative process has slowed, with the time required to adopt new regulations increasing by over 60% between 1999 and 2019. The EU AI Act, proposed in 2021, took three years to reach political consensus—a lifetime in the world of generative AI. By the time such policies are implemented, the underlying technology has often shifted entirely, rendering the rules obsolete upon arrival.

To bridge this gap, the focus must shift toward AI-assisted institutional design. Rather than relying on episodic, years-long legislative efforts, policymakers could adopt algorithmic rule-making that uses live data simulations for real-time analysis. By integrating AI to identify conflicts and run impact assessments under human oversight, governments could move toward an agile framework that matches the speed of the current era. Without this transformation, the paradox of high investment and stagnant productivity will persist, as administrative structures continue to act as a bottleneck for the very innovation they aim to regulate.