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Streaming Service Turns to AI for Lucrative Licensing

Streaming Services AI Licensing Curiosity Stream Large Language Models IP Licensing Generative AI Subscriptions
November 21, 2025
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Article Summary

Streaming service Curiosity Stream is undergoing a dramatic shift, driven by its unexpectedly lucrative strategy of licensing its content to large language model (LLM) developers. Founded in 2015 by Discovery Channel founder John Hendricks, the service offers a $40 annual subscription without commercials and has grown to include a television channel, Curiosity Channel, and educational programming through Curiosity University. Initially, the company faced challenges, but a recent turnaround has been fueled by demand for its 2 million hours of content, primarily for AI training. As of late 2025, Curiosity Stream is generating over half its revenue from licensing, a dramatic change from its subscription business. The company is collaborating with nine partners, including hyperscalers, to provide content used in training LLMs, and expects this to surpass subscription revenue by 2027. This strategy is attracting attention from other streaming services grappling with subscriber fatigue and fierce competition. While Curiosity Stream's core business remains subscriptions and advertising, the AI licensing arm represents a critical pillar for future growth, driven by the increasing demand for diverse data sets to train increasingly sophisticated AI models. The company’s leaders anticipate further opportunities beyond initial training rights, envisioning a long-term ecosystem built on display, transformative, and derivative rights, signaling a fundamental reshaping of the streaming landscape.

Key Points

  • Curiosity Stream is generating over 50% of its revenue from licensing its content to AI companies.
  • The company's initial challenge was a slow subscription base, but revenue diversification through AI licensing is now driving growth.
  • Executives anticipate continued revenue growth from AI licensing, even beyond initial training rights, suggesting a long-term business strategy.

Why It Matters

This news is significant for several reasons. It highlights a previously unexpected revenue stream for a niche streaming service, demonstrating a potential pathway for other struggling content companies. The move underscores the growing importance of data for AI development, and the willingness of these companies to pay for diverse content. Furthermore, it signals a broader shift in the media landscape, with streaming services adapting to the demands of a rapidly evolving technological landscape. For professionals in media, technology, and investment, this represents a crucial turning point in how content is valued and consumed, and the potential for new business models to emerge.

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