AI Transformation: Economic Frameworks for the Intelligence Age

We are at a critical turning point. Artificial intelligence isn't just another productivity tool added to existing economic systems; according to leading researchers whose work this paper draws from, it's a source of potentially transformative change. It can condense centuries of innovation into decades, shift decision-making from humans to machines, and challenge every economic institution since the Industrial Revolution.

This paper summarizes emerging academic research on AI's economic impact into clear frameworks for business leaders and policymakers. Based on eight years of research from the National Bureau of Economic Research's Economics of Artificial Intelligence Initiative—and especially the 2025 volume A Research Agenda for the Economics of Transformative AI—it tackles five interconnected issues:

• How AI alters the core economics of innovation, measurement, and growth
• How AI disrupts markets, competition, and firm boundaries
• How AI changes labor markets, income, and human well-being
• How AI impacts knowledge creation, information flow, and systemic risk
• What policy measures are needed to manage AI's financial and existential risks

The key idea is that AI's economic influence is not just about increasing output or speeding processes but involves fundamental changes. It redefines what can be measured, who bears economic risks, how knowledge is generated, and what work truly means for humans. Business leaders focusing only on efficiency will be unprepared for the profound transformations AI will bring.