Policies Affecting AI Developers

Taxing AI model inference to create a revenue stream growing automatically with AI adoption

Taxes on AI companies paid via equity stakes rather than cash.

Payments to individuals for the use of their data in training AI models.

Voluntary commitments by AI firms to share profits above an extraordinary threshold.

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

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

Legal frameworks assigning financial responsibility for AI-caused harms.

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

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

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

Competition enforcement to prevent monopolistic control over essential AI infrastructure.

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

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

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

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

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

International frameworks distributing AI's economic gains to lower-income countries.