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How AI Companies Can Pay Fair Rates for the Content They Needpreview

Raul Castro Fernandez and Glen Weyl, Harvard Business Review, 2026

Only the publicly accessible summary and opening excerpt were available; the full article requires publisher access.

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Only the publicly accessible summary and opening excerpt were available; the full article requires publisher access.

June 15, 2026

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Summary.

Frontier AI models are trained on the accumulated digital output of humanity, which AI companies acquired essentially for free. This is a problem for both AI companies and content creators. For AI

The fight over the data that trains artificial intelligence has become one of the defining economic conflicts of the decade. Publishers, authors, and visual artists argue that their work was taken without permission or payment. AI companies counter that training on available data constitutes fair use and that even if a market in data were desirable, compensating millions of creators is technically impossible: the cost of figuring out what any given piece of data is worth, researchers have argued, would swallow most of the value that data creates in the first place.

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