How Humans Will Earn in the AI Economy with Jordan Gray from Public AI

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7d ago 40:20

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AI agents are already paying humans for their data and 3.5 million people are earning from it.

In AI Supercycle episode 5, we sit down with Jordan Gray, co-founder of Public AI, to discuss how the AI economy creates new income streams for humans and why your data is more valuable than you think.

We discuss:

- Why Your Data Is More Valuable Than You Think

- How 3.5M Users Are Already Earning From AI

- The Coming Era of AI Agents Requesting Human Data

- MCP: The Protocol Letting Agents Talk to Each Other

- Why Decentralized Data Markets Will Win

- Where AI Agents Will Source Their Training Data

Timestamps

00:00 Intro

00:52 AI Supercycle or Bubble? (Where We Really Are)

02:49 The Future of Work & Labor Markets in the AI Era

04:59 How Public AI Pays Users for Their Data

08:14 Privacy in the AI Era (Can It Actually Exist?)

11:25 Data Labeling & Pipeline Infrastructure (The Hidden Economy)

16:51 Hibachi Ad, 17:00 Relay Ad, Talus Ad

17:33 Human-in-the-Loop Explained (Why AI Still Needs You)

19:42 Data Governance & Token Ownership (Who Really Owns Your Data?)

23:02 Why Public AI Chose NEAR Protocol (The Technical Decision)

27:13 Alvara Ad, Enso Ad

27:37 AI Economy & Machine Payments (How Agents Will Transact)

31:44 MCP: Model Context Protocol Explained (The AI Communication Standard)

35:15 Agents Prompting Humans, Not Vice Versa (The Role Reversal)

37:06 AI Agent Coins & VTuber Experiments (Where Culture Meets Tech)

38:58 Bullish on Data, Bearish on Commodities (Investment Thesis)

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