International

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

Higher effective tax rates on the largest multinational enterprises through coordinated global frameworks.

An annual tax on accumulated net assets rather than income.

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.

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

Competition enforcement to prevent monopolistic control over essential AI infrastructure.

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

International mechanisms distributing AI-generated surplus as payments to individuals worldwide.

New or reformed international bodies for AI governance and standard-setting.

Multilateral development bank financing for AI infrastructure with benefit-sharing conditions attached.