The Rollup How Humans Will Earn in the AI Economy with Jordan Gray from Public AI
Oct 19, 2025
Jordan Gray, co-founder of Public AI, delves into the rapidly evolving AI economy, revealing how 3.5 million people are monetizing their data. He discusses the immense value of personal data and the transformative nature of labor in this new landscape. With a focus on 'human-in-the-loop' roles, he explains how AI agents will begin requesting data from humans directly. Gray also explores concepts like the Model Context Protocol (MCP) and the importance of decentralized data markets, shedding light on the future of earnings in the AI-driven world.
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Weigh Permission Tradeoffs
- Decide whether a service's convenience justifies the data permissions you grant before clicking accept.
- Consider privacy-first alternatives like Proton or decentralized options when possible.
Paid Mother-Tongue Audio Campaign
- Public AI ran a mother-tongue campaign paying up to $4 daily for short native-language audio samples.
- The program grew to ~3.5 million contributors with ~300k monthly active users providing real human data.
Human Labeling Boots Edge AI
- Human labeling remains essential for new, edge use cases to bootstrap model performance.
- Initial human-labeled samples train AI to automate future labeling and improve differentiation.