Build **SovereignAI Share**—a $30K/year **GovTech SaaS + legal engineering platform** that enables governments to **monetize AI infrastructure via revenue-sharing agreements** without owning the models. The platform would: (1) **Deploy ‘AI Revenue Pools’**: Auto-negotiated agreements with AI labs (e.g., OpenAI, Anthropic) to redirect 3-5% of enterprise revenue into sovereign wealth funds (SWFs) or public benefit corporations; (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: $120K/month AI revenue—redirect 5% to Norway SWF’); (4) **Offer ‘Public Benefit Dashboard’**: Real-time transparency showing economic impact (e.g., ‘Norway: $2B/year added to SWF—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’).

Governments worldwide are grappling with how to capture economic value from AI without stifling innovation. Current models rely on taxation, which is slow, politically contentious, and often ineffective. Meanwhile, AI labs like OpenAI, Anthropic, and DeepMind generate billions in revenue but operate in regulatory gray zones regarding public ownership. The friction is twofold: (1) Governments lack mechanisms to monetize AI infrastructure without outright nationalization, leading to missed economic opportunities (e.g., Norway’s SWF could grow by $20B/year if AI revenue-sharing were standardized); (2) AI labs face escalating geopolitical risks (e.g., export controls, antitrust scrutiny) that could disrupt operations, creating urgency for compliant monetization strategies.