Medium Term

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

An annual tax on accumulated net assets rather than income.

Broad-based taxes on spending, that maintain revenue as labor income declines.

Taxes that remove fiscal advantages for automation or directly levy AI and robotic deployment.

State-owned investment vehicles for AI infrastructure and upstream supply chains.

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

Public investment in sectors delivering public value and supporting employment

Fiscal incentives for employers who invest in retraining or hire displaced workers.

Government funding for compute infrastructure or energy to increase competitiveness or democratize AI access.

Free or heavily subsidized access to essential services such as healthcare, education, housing, or transportation.

Governments functioning as an employer of last resort for all willing individuals.

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.

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

Pre-legislated fiscal rules that activate automatically when economic indicators cross defined thresholds.

Adaptations to central bank frameworks to manage AI-driven disruptions to prices and employment.

Modernized competition enforcement targeting 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.

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

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

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

Reduced working hours to distribute work more evenly and convert productivity gains into leisure.

Strengthened collective bargaining giving workers a voice in AI adoption decisions.

Standardized AI exposure measurement directing workforce funding where displacement data indicates greatest need.

Tax incentives and subsidies connecting displaced workers to skills development.

Expanded pathways for displaced workers to start businesses or become self-employed.

Comprehensive AI literacy embedded across all education levels.

Professional development preparing teachers to integrate AI tools into instruction.

Expanded technical education and apprenticeships for skilled trades resilient to automation.