{"id":2564,"date":"2025-11-19T03:32:40","date_gmt":"2025-11-18T22:32:40","guid":{"rendered":"https:\/\/paknews.centers.pk\/litigating-and-monetizing-content-licensing-to-llms\/"},"modified":"2025-11-19T03:32:40","modified_gmt":"2025-11-18T22:32:40","slug":"litigating-and-monetizing-content-licensing-to-llms","status":"publish","type":"post","link":"https:\/\/paknews.centers.pk\/ur\/litigating-and-monetizing-content-licensing-to-llms\/","title":{"rendered":"Litigating and Monetizing Content Licensing to LLMs"},"content":{"rendered":"


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Licensing data to LLMs is a potential revenue stream for streamers much like advertising on CTV platforms: it is an opportunity that didn\u2019t exist until recently that has the potential to deliver dividends for years to come. But as with CTV advertising, its viability and profitability won\u2019t happen overnight.<\/p>\n

For now, there are numerous rights lawsuits in the works, and most companies have not come around to respecting content copyright.<\/p>\n

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Image source: ChatGPT Is Eating the World<\/a><\/em><\/p>\n

One of the companies that media analyst Laura Martin<\/a> tracks in her work as a Managing Director at Needham & Company is OTT subscription streaming service Curiosity Stream (CURI)<\/a>. CURI recently reported Q3 2025 revenue of $18.36 million, up 46% year-over-year. \u201cWhat we like most about CURIs 3Q25 was its 425% LLM licensing revenue growth,\u201d Martin says. \u201cToday, CURI is licensing 2 million hours of premium TV, film, and video content to 19 LLMs. In 2026, CURI believes it can double its content supply and grow its LLM licensees by ~50% to ~30 LLMs.\u201d<\/p>\n

Of the 8 deals they have had in place for at least a year, CURI expects revenue from these licensing deals to double in 2026. The company owns ~300,000 hours of their own content and does a revenue share for 50% of any LLM fees they get on the other 1.7 million hours of content distributed through their platform.<\/p>\n

\u201cThis has only happened a couple of times in my career in different companies when you achieve enough scale in one area, that a derivative service line can become potentially the main service line,\u201d says Veritone CEO Ryan Steelberg<\/a>.<\/p>\n

Veritone started in 2012 and is now processing 250,000 hours of unstructured data and content per day. In Q3 2024 they entered into LLM licensing, facilitating deals for backend model training. \u201cWe represent a very large number of audio and video IP owners. The majority of the deals that we\u2019ve done to date are datasets that I had no relationship with before.\u201d<\/p>\n

Content at Scale<\/strong><\/h2>\n

In terms of training mediums, text has a much clearer provenance. \u201cThe through line is very clear,\u201d says Brian McNeill, COO\/CPO and Co-Founder, Stringr<\/a>. Stringr<\/a> has been in business for 12 years and has a videographer marketplace of 160,000 videographers. They have 2.5 million video assets where you can buy stock or have videographers go out and shoot specific content. <\/p>\n

In addition to finished content, there is a large ratio of outs to good shots. \u201cAll of these news agencies have huge archives of images and video that are sitting there,\u201d he says, \u201cThere is a large amount that either goes to archives or is even deleted.\u201d<\/p>\n

Right now, 100,000+ minutes seems to be the minimum for training. McNeill says library content \u201cis only valuable when you\u2019re talking about the 2 million video assets we have or the tens of millions of assets that sit over at Reuters or AP. That’s when the conversation starts to get interesting for the model company, because there\u2019s enough there to actually train on,” says McNeill.<\/p>\n

Do they use existing metadata? No. \u201cMost of the models are using their own image detection algorithms to identify what is in there, as opposed to using the metadata that was provided by the by the contributor.\u201d<\/p>\n

News organizations have been approached by deal aggregators with a wide variety of terms. Currently one consultant in the field is recommending:<\/p>\n