Speaking at a breakfast event in London last month, Alexey Dosovitskiy, the cofounder of the newly‑launched AI lab Recursive Superintelligence, enthusiastically discussed his startup’s research ambitions. The headline of the piece asks: "The billion‑dollar question: How will the neolabs actually make money?"

The article frames the challenge of turning cutting‑edge AI research into viable revenue streams, noting the tension between open‑source progress and commercial viability. It highlights the need for new monetisation models that can sustain long‑term innovation while delivering tangible value.

Potential avenues explored include licensing core algorithms, offering managed AI services, partnering with industry giants for integrated solutions, and monetising data insights. The narrative stresses that success will depend on a mix of strategic partnerships, subscription models, and scalable cloud infrastructure.

In closing, the piece underscores the urgency for a clear business roadmap. It calls on founders, investors, and policy makers to collaborate on frameworks that enable AI labs to thrive financially while advancing scientific breakthroughs.