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OpenAI introduces paid credits for Sora, signaling a shift towards monetization as it navigates copyright licensing and surging demand for its AI video generation tool.
OpenAI has taken a significant step toward monetizing its AI video generation tool, Sora, by introducing paid credits and hinting at future changes to the free usage model. The move comes as the company faces growing demand and legal challenges surrounding its text-to-video capabilities.
Starting now, power users can purchase additional video generations through Apple's App Store. For $4, users get an extra 10 video gens, which is a notable change from the current limit of 30 free gens per day. This paid model is designed to address the increasing computational demands and GPU constraints that come with scaling Sora.
Bill Peebles, who leads OpenAI’s Sora project, announced these changes on X (formerly Twitter):
"Eventually we will need to bring the free gens down to accommodate growth (we won't have enough gpus to do it otherwise!), but we’ll be transparent as it happens."
In addition to the paid credit model, OpenAI is exploring a new monetization strategy that involves licensing copyrighted material. This approach would allow entities-such as artists, media companies, and individuals-to charge for the use of their artwork, characters, or likenesses within Sora-generated videos.

Peebles emphasized the potential benefits:
"We imagine a world where rightsholders have the option to charge extra for cameos of beloved characters and people."
However, this monetization strategy is not without its challenges. OpenAI is currently facing a lawsuit from Cameo, a platform that connects fans with celebrities, over alleged trademark infringement related to Sora’s cameo feature. This legal battle adds another layer of complexity to OpenAI's efforts to commercialize Sora.
For developers and content creators, these changes mean:
OpenAI’s move to monetize Sora through paid credits and copyright licensing reflects the growing commercialization of AI tools. While these changes offer new opportunities for both users and rightsholders, they also highlight the ongoing legal and ethical challenges in the field of generative AI.
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Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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31 October 2025
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