Policies Affecting Public Institutions

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

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

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

Public ownership stakes whose profits are distributed as cash payments to all citizens.

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

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.

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.

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

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

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

Professional development preparing teachers to integrate AI tools into instruction.