According to a recent LinkedIn post from Protege, company executive Dave Davis was featured in The Verge discussing the fallout from OpenAI’s reported cancellation of its Sora project and a related deal with Disney. The post highlights Davis’s view that Disney’s reaction points to a “licensing-first” landscape for AI-generated video content, with major studios remaining open to licensing agreements with a range of AI providers.
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The LinkedIn post notes that Davis sees potential opportunities for studios like Disney to work with alternative video-generation platforms such as Google, Runway, Luma, Moonvalley, Kling, or Seedance. It also emphasizes that, in his view, established media brands typically pursue licensing as a strategic way to spur fan engagement and experimentation with new formats.
As referenced in the post, Davis interprets Disney’s exit language as signaling continued willingness to license characters to other AI companies, rather than a retreat from AI in entertainment. For investors, this suggests that demand from major rights holders for compliant, licensed AI workflows could remain resilient despite deal-specific setbacks.
The post further observes that xAI moved quickly to highlight its own consumer AI video ambitions following the Sora news, underscoring intensifying competition in video-generative AI. This competitive dynamic may expand the addressable market for intermediaries that help rights holders structure and monetize licensing across multiple AI vendors.
Within this context, Protege’s LinkedIn post positions the company’s media team, including Davis, as focused on helping content providers “unlock new revenue streams” by giving them access to a broad set of video and multimodal model builders rather than a single partner. If Protege can successfully intermediate licensing relationships at scale, it could benefit from recurring, transaction-linked revenue tied to the growth of AI-driven content production.
For the wider industry, the perspective shared in the post implies that legal and commercial frameworks around IP licensing may become a key competitive factor in AI video adoption. Companies able to navigate rights management and aggregate demand from major content owners may be better placed to capture value as studios look to diversify beyond any one AI vendor.

