This Company Will Buy Your AI Training Data

Source: Matt Wolfe By Matt Wolfe

Summary

AI companies may start paying users for their data, as demonstrated by the company Verb. Verb allows individuals to select which data they share, block specific companies, and set their own prices. This approach addresses the growing need for AI training data while acknowledging user data privacy concerns. As people become more protective of their information, direct payment could become a common solution for AI companies seeking to acquire more data for training and advertising purposes.

Why it matters

This development signals a potential shift in how AI companies acquire training data. Instead of relying solely on scraping or user agreements, direct payment to individuals for data could become a new model. This directly affects consumers, giving them more control and potential financial benefit from their data. It also impacts AI companies, potentially increasing data acquisition costs but also providing more ethically sourced and potentially higher quality data. Competitors like Google Gemini and OpenAI's ChatGPT might explore similar models if this proves successful, especially for personalized AI services. Future developments to watch include the scalability of this model and the privacy safeguards implemented.

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Hype check
2/5Worth a look

Rated low: routine. Worth knowing, not worth rearranging your day for.

Who's talking about it
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Published
Source
Matt Wolfe (youtube.com)
Author
Matt Wolfe
Company
OpenAI · Web · Videos
Products
ChatGPT
Summary by
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Questions people ask

What is Verb?
Verb is a company that allows users to choose what data they share with AI companies, block specific entities, and set their own prices for their data.
Why would AI companies pay for data?
AI companies need vast amounts of data for training models and advertising. As users become more protective of their privacy, direct payment may become a solution for acquiring this necessary data.

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Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to Matt Wolfe.