Build **SovereignAI Revenue Engine**, a $50K/year **GovTech SaaS + legal engineering platform** that **enables governments to auto-negotiate, enforce, and audit AI revenue-sharing agreements** with labs via **smart contracts and jurisdiction-aware compliance engines**. The platform would: (1) **Deploy ‘AI Revenue Pools’**: Pre-negotiated agreements to auto-redirect 3-5% of enterprise revenue to sovereign wealth funds (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/year—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 government subscriptions ($50K/country/year) and revenue-sharing (1%).

AI labs (OpenAI, Anthropic, Meta) generate $150B/year in enterprise revenue, yet: (1) **No Public Benefit**: Governments lack mechanisms to redirect AI profits to public goods; (2) **Regulatory Risks**: 60% of AI labs face SWF ownership restrictions (e.g., UAE’s G42); (3) **Compliance Overhead**: Auto-negotiating revenue-sharing agreements costs $2M+/year in legal fees; (4) **No Transparency**: Public lacks visibility into AI-driven economic impact; (5) **Jurisdictional Arbitrage**: Labs exploit regulatory gaps (e.g., ‘Ireland: 0% tax—route revenue’). Countries lose $50B+/year in potential revenue.