Build **SovereignAI Share**, a legal engineering platform enabling governments to monetize AI infrastructure via **revenue-sharing agreements** without owning models. The platform would: (1) **Deploy ‘AI Revenue Pools’**: Pre-negotiated agreements with AI labs (e.g., OpenAI, Anthropic) to auto-redirect 3-5% of enterprise revenue to sovereign wealth funds (SWFs) or public benefit corporations (e.g., ‘Norway SWF: +$2B/year’); (2) **Provide ‘Jurisdiction Compliance Engine’**: Auto-adjusts revenue splits based on local laws (e.g., ‘EU: 5% allowed; India: 3%’); (3) **Integrate with cloud APIs** (AWS, Azure, Google Cloud) to auto-calculate usage-based payments (e.g., ‘AWS GovCloud: $120M/month—redirect 5%’); (4) **Offer ‘Public Benefit Dashboard’**: Real-time transparency showing economic impact (e.g., ‘Norway: $2B/year—funds 100% of education budget’); (5) **Include ‘Safe Harbor Mode’**: Auto-redacts sensitive data for sanctioned countries (e.g., ‘Russia: Access granted to Claude-3.5 with 80% revenue redacted’). Monetize via transaction fees (0.5% of redirected revenue) and consulting for governments.

Governments worldwide lack mechanisms to monetize AI infrastructure without owning models or violating sovereignty. Current approaches (e.g., direct investment, subsidies) are politically contentious and fiscally unsustainable. The opportunity cost includes lost revenue (e.g., Norway’s SWF could grow by $10B/year with a 5% AI revenue share) and strategic dependence on private AI labs (e.g., OpenAI, Anthropic). Meanwhile, AI labs face increasing scrutiny over profit-sharing models, with regulators pushing for public benefit clauses in licensing agreements.