How Humans Will Earn in the AI Economy with Jordan Gray from Public AI
The Rollup19 Okt 2025

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

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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๐——๐—œ๐—ฆ๐—–๐—Ÿ๐—”๐—œ๐— ๐—˜๐—ฅ: ๐˜๐˜ฏ๐˜ท๐˜ฆ๐˜ด๐˜ต๐˜ช๐˜ฏ๐˜จ ๐˜ช๐˜ฏ ๐˜ค๐˜ณ๐˜บ๐˜ฑ๐˜ต๐˜ฐ๐˜ค๐˜ถ๐˜ณ๐˜ณ๐˜ฆ๐˜ฏ๐˜ค๐˜บ ๐˜ข๐˜ฏ๐˜ฅ ๐˜‹๐˜ฆ๐˜๐˜ช ๐˜ฑ๐˜ญ๐˜ข๐˜ต๐˜ง๐˜ฐ๐˜ณ๐˜ฎ๐˜ด ๐˜ค๐˜ฐ๐˜ฎ๐˜ฆ๐˜ด ๐˜ธ๐˜ช๐˜ต๐˜ฉ ๐˜ช๐˜ฏ๐˜ฉ๐˜ฆ๐˜ณ๐˜ฆ๐˜ฏ๐˜ต ๐˜ณ๐˜ช๐˜ด๐˜ฌ๐˜ด ๐˜ช๐˜ฏ๐˜ค๐˜ญ๐˜ถ๐˜ฅ๐˜ช๐˜ฏ๐˜จ ๐˜ต๐˜ฆ๐˜ค๐˜ฉ๐˜ฏ๐˜ช๐˜ค๐˜ข๐˜ญ ๐˜ณ๐˜ช๐˜ด๐˜ฌ, ๐˜ฉ๐˜ถ๐˜ฎ๐˜ข๐˜ฏ ๐˜ฆ๐˜ณ๐˜ณ๐˜ฐ๐˜ณ, ๐˜ฑ๐˜ญ๐˜ข๐˜ต๐˜ง๐˜ฐ๐˜ณ๐˜ฎ ๐˜ง๐˜ข๐˜ช๐˜ญ๐˜ถ๐˜ณ๐˜ฆ ๐˜ข๐˜ฏ๐˜ฅ ๐˜ฎ๐˜ฐ๐˜ณ๐˜ฆ. ๐˜ˆ๐˜ต ๐˜ค๐˜ฆ๐˜ณ๐˜ต๐˜ข๐˜ช๐˜ฏ ๐˜ฑ๐˜ฐ๐˜ช๐˜ฏ๐˜ต๐˜ด ๐˜ต๐˜ฉ๐˜ณ๐˜ฐ๐˜ถ๐˜จ๐˜ฉ๐˜ฐ๐˜ถ๐˜ต ๐˜ต๐˜ฉ๐˜ช๐˜ด ๐˜ค๐˜ฉ๐˜ข๐˜ฏ๐˜ฏ๐˜ฆ๐˜ญ, ๐˜ธ๐˜ฆ ๐˜ฎ๐˜ข๐˜บ ๐˜ฆ๐˜ข๐˜ณ๐˜ฏ ๐˜ข ๐˜ค๐˜ฐ๐˜ฎ๐˜ฎ๐˜ช๐˜ด๐˜ด๐˜ช๐˜ฐ๐˜ฏ ๐˜ฐ๐˜ณ ๐˜ง๐˜ฆ๐˜ฆ ๐˜ข๐˜ด ๐˜ข ๐˜ด๐˜ฑ๐˜ฐ๐˜ฏ๐˜ด๐˜ฐ๐˜ณ๐˜ด๐˜ฉ๐˜ช๐˜ฑ, ๐˜ช๐˜ง ๐˜ต๐˜ฉ๐˜ช๐˜ด ๐˜ช๐˜ด ๐˜ต๐˜ฉ๐˜ฆ ๐˜ค๐˜ข๐˜ด๐˜ฆ ๐˜ธ๐˜ฆ ๐˜ธ๐˜ช๐˜ญ๐˜ญ ๐˜ข๐˜ญ๐˜ธ๐˜ข๐˜บ๐˜ด ๐˜ฎ๐˜ข๐˜ฌ๐˜ฆ ๐˜ด๐˜ถ๐˜ณ๐˜ฆ ๐˜ช๐˜ต ๐˜ช๐˜ด ๐˜ค๐˜ญ๐˜ฆ๐˜ข๐˜ณ. ๐˜ž๐˜ฆ ๐˜ข๐˜ณ๐˜ฆ ๐˜ด๐˜ต๐˜ณ๐˜ช๐˜ค๐˜ต๐˜ญ๐˜บ ๐˜ข๐˜ฏ ๐˜ฆ๐˜ฅ๐˜ถ๐˜ค๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ ๐˜ค๐˜ฐ๐˜ฏ๐˜ต๐˜ฆ๐˜ฏ๐˜ต ๐˜ฑ๐˜ญ๐˜ข๐˜ต๐˜ง๐˜ฐ๐˜ณ๐˜ฎ, ๐˜ฏ๐˜ฐ๐˜ต๐˜ฉ๐˜ช๐˜ฏ๐˜จ ๐˜ธ๐˜ฆ ๐˜ฐ๐˜ง๐˜ง๐˜ฆ๐˜ณ ๐˜ช๐˜ด ๐˜ง๐˜ช๐˜ฏ๐˜ข๐˜ฏ๐˜ค๐˜ช๐˜ข๐˜ญ ๐˜ข๐˜ฅ๐˜ท๐˜ช๐˜ค๐˜ฆ. ๐˜ž๐˜ฆ ๐˜ข๐˜ณ๐˜ฆ ๐˜ฏ๐˜ฐ๐˜ต ๐˜ฑ๐˜ณ๐˜ฐ๐˜ง๐˜ฆ๐˜ด๐˜ด๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ๐˜ด ๐˜ฐ๐˜ณ ๐˜ญ๐˜ช๐˜ค๐˜ฆ๐˜ฏ๐˜ด๐˜ฆ๐˜ฅ ๐˜ข๐˜ฅ๐˜ท๐˜ช๐˜ด๐˜ฐ๐˜ณ๐˜ด.

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