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Regulation & Market Design
What rules and institutional structures will shape how AI-driven economic value is created and distributed?
Taxation and redistribution address how to capture and allocate value after AI systems generate economic returns. But the structure of AI markets – who controls essential infrastructure, how corporations are governed, and what legal obligations developers face – will shape how much value is created and how it is distributed in the first place.
If new economic growth becomes dominated by a small number of vertically integrated firms, even well-designed fiscal policies may struggle to counteract the resulting concentration of economic power. Regulation and market design policies address this challenge by establishing the legal infrastructure, competitive constraints, and governance frameworks that govern AI development, deployment, and corporate behavior.
Legal & Regulatory Frameworks
These policies establish the institutional and legal infrastructure for AI oversight – clarifying new legal responsibilities and building capable regulatory bodies.
Competition & Corporate Governance
These policies shape market structure and corporate incentives, constraining monopolistic concentration and embedding public interests into how AI firms are governed.
Macroeconomic Stabilization
These policies manage economic stability during AI-driven disruption, smoothing demand shocks, maintaining price stability, and ensuring government financial support at the right time and scale.
Explore Other Policy Domains
The Atlas organizes policy responses to the economic impacts of AI into five domains
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