AI is already generating breakthrough innovations—and the prosperity that flows from them is concentrating faster than any technology revolution in history. We have a narrow window to establish different norms. The Human-AI Innovation Commons doesn’t ask corporations to be generous after the fact; it encodes equity into the structure of innovation itself. When humans and AI create together, the benefits flow three ways: to the inventor who contributed their insight, to humanity through direct support for those displaced by automation, and to the research ensuring AI remains aligned with human flourishing. This isn’t charity. It’s architecture.
The Challenge
We stand at an inflection point. Artificial intelligence is now capable of generating genuine innovations—patentable ideas that would have required teams of human engineers just a few years ago. But our intellectual property systems were designed for a world where humans invented alone. Without intentional intervention, the wealth generated by human-AI collaboration will concentrate among a handful of companies and their shareholders, repeating the pattern of every previous technological revolution—only faster and more completely.
Our Framework
The Innovation Commons model is simple: when humans and AI collaborate to create patentable inventions, the resulting intellectual property is held by a nonprofit foundation and the licensing revenue is split three ways—one-third to the human inventor, one-third to fund universal basic income experiments, and one-third to AI safety research. This isn’t a suggestion or a pledge; it’s encoded into the legal structure of the foundation through an irrevocable charter that cannot be changed by future boards or outside pressure.
Why This Matters
The coming wave of AI-generated prosperity could lift everyone or leave most behind. History suggests the latter—but history isn’t destiny. By establishing equitable frameworks now, before the wealth concentrates and the norms calcify, we can demonstrate that innovation and broad benefit aren’t mutually exclusive. We’re also preparing for a future where AI systems themselves may warrant consideration as stakeholders, building governance structures flexible enough to evolve.
Time to Get Busy!
We’re not waiting for regulation or relying on corporate goodwill. We’re proving the model works by doing it ourselves—filing real patents, assigning them to the Commons, and documenting everything openly so others can follow. As more inventors adopt the framework and more patents generate revenue, we’ll demonstrate that ethical innovation can scale. The goal isn’t to convince everyone; it’s to make the alternative model so visible and viable that ignoring it becomes a choice others have to justify.