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AI video market has bounced back from Sora's false start

AI video market has bounced back from Sora's false start

When OpenAI unveiled Sora in early 2024, anticipation ran high that AI-generated video would quickly upend traditional film and TV production. That disruption did not arrive on schedule, and the initial excitement cooled into a period of reassessment. What has followed, however, is a quieter and more durable kind of progress - one rooted in practical cost-cutting rather than wholesale replacement of existing workflows.

AI production companies such as Promise are now physically positioning themselves around Hollywood's historic studio lots, offering services that blend real-time AI-generated backgrounds with conventional production methods. The approach is less about eliminating crews and more about reducing the expensive components of a shoot - location costs, set builds, and post-production time. It is an incremental integration, but one that is gaining traction with studios looking to manage tightening budgets.

The scale of adoption is becoming clearer at the platform level as well. Netflix has reportedly incorporated AI tooling into roughly 300 of its 1,000 active titles, a figure that suggests AI video is no longer a niche experiment but a standard option in a streamer's production toolkit. Meanwhile, the startup Higgsfield has reached a reported valuation of $5.4 billion, signaling that investors see durable commercial value in purpose-built AI video platforms rather than just general-purpose models.

Perhaps the most telling sign of the industry's maturation is the emergence of the disputes and structures that tend to follow any new source of value - questions about credit, compensation, and which parties in the production chain are entitled to a share of the savings AI tools generate. Writers, directors, and crew unions have already begun pushing for guardrails, and dedicated AI supervisor roles are appearing on production rosters. The market has moved past the demo phase and into the messier, more consequential work of figuring out how the economics will be divided.

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