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Windfall Policy Atlas

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

Legal & regulatory frameworks establish the institutional and legal infrastructure for AI oversight – defining liability, clarifying new legal responsibilities, and building capable regulatory bodies to supervise AI markets as they evolve.

Intellectual Property Reform

Adapted copyright and patent frameworks for AI training data and AI-generated outputs.

Regulatory Agencies

Dedicated bodies with technical capacity to monitor high-risk AI systems.

AI Liability

Legal frameworks assigning financial responsibility for AI-caused harms.

Legal Economic Personhood

Legal recognition of AI systems as taxable entities with financial obligations.

Public Utility Regulation

Common carrier and universal access obligations applied to AI infrastructure and services.

Regulatory Markets

Competitive markets of licensed private regulators selling compliance services to AI companies.

Competition & Corporate Governance

Competition & corporate governance policies shape market structure and corporate incentives, constraining monopolistic concentration while embedding public interests into how AI firms are governed.

Antitrust Law

Modernized competition enforcement targeting control over essential AI infrastructure.

Public Benefit Corporations

Corporate structures requiring directors to balance societal benefit alongside shareholder returns.

Fiduciary Mandates

Legal duties requiring AI developers to act in users' and society's interests.

Public Board Representation

Reserved board seats at AI companies for workers or public interest representatives.

Minority Public Ownership

Non-controlling government equity stakes in AI companies and critical technology firms.

Procurement Policies

Public purchasing rules that shape AI markets and attach public benefit obligations.

Public-Private Partnerships

Structured government-private collaborations to co-finance and co-govern AI infrastructure.

Explore Other Policy Domains

The Atlas organizes policy responses to the economic impacts of AI into five domains

Labor Market Adaptation

Helping workers and institutions adjust to AI

Examples

Retraining Programs

Education Reform

Shorter Work Weeks

Wealth Capture

Ensuring AI generated wealth benefits society

Examples

Universal Basic Income

AI Dividend Funds

Windfall Taxes

Regulation & Market Design

Rules that shape AI markets and corporate

Examples

Antitrust Policy

Corporate Taxation

AI Governance

Global Coordination

International cooperation on AI impacts

Examples

Global Funds

Tax Coordination

Technology Transfer

Explore Other Policy Domains

The Atlas organizes policy responses to the economic impacts of AI into five domains

Labor Market Adaptation

Helping workers and institutions adjust to AI

Wealth Capture

Ensuring AI generated wealth benefits society

Regulation & Market Design

Rules that shape AI markets and corporate

Global Coordination

International cooperation on AI impacts

Securing humanity's AI future

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