OpenAI has pulled the plug on Sora, and with it, the first real attempt at an AI-native social platform. It’s a significant moment for the industry.
The ambition was undeniable but the execution was rushed. OpenAI attempted to drive relevance through equity deals with high-profile talent, generating headlines without addressing the core issue: most users still don’t understand why they would use an AI video platform, or what it meaningfully unlocks for them creatively. Sora was built around novelty and gimmick, not genuine creative utility, which I believe is a fundamental misread of where adoption actually stands.
Social platforms require content, and content is fuelled by creators. Creators, in turn, require compensation, or at the very least, recognition and attribution. Sora had neither. Without that engine, there is no flywheel.
The bigger question now is what this means for OpenAI’s positioning in the content space more broadly. They made a bet, it didn’t land, and the market will remember that.
For Disney, however, this could prove to be one of the smartest outcomes in the AI space, even if unintentionally so. While the deal was never fully finalised, what they gained was an invaluable window into market reaction, consumer sentiment, and the structural gaps in licensing agreements of this scale. And there were gaps; significant ones. However, Disney emerges better informed, better positioned, and with every option still open. If anything, this moment feels like a get-out-of-jail-free card.
At the heart of the issue was the deal structure itself. Exclusive licensing arrangements between studios and single AI platforms - even for a defined period - run counter to the direction the market needs to move. But beyond exclusivity, there was a more critical absence: technical infrastructure. There were no guardrails governing how IP was being used, no attribution framework, and no enforcement layer, leading to both legal and strategic risks.
Without this infrastructure, Disney would have had no real-time visibility into how its characters were being used: by whom, in what context, and at what scale. This represents not only a loss of brand protection, but a loss of insight. Understanding how audiences interact with IP across AI platforms is fast becoming the next frontier of marketing intelligence. Which characters resonate, in what formats, with which demographics, and in which markets is all data that should inform content strategy, licensing decisions, and broader commercial direction. Without attribution and monitoring embedded into the system, rights holders are effectively flying blind.
Rights holders should not be locked into a single platform. Instead, they need technical infrastructure that enables them to license across any AI tool, where enforcement, attribution, and monetisation are built in. This creates an equal playing field, ensuring IP remains accessible, scalable, and genuinely insight-driven.
This will not be the last deal of its kind to collapse. But the studios and rights holders that invest in platform-agnostic infrastructure - rather than betting on a single partner - will ultimately define how IP functions in the AI era.
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