OpenAI has abruptly shut down Sora, its artificial intelligence video-generation tool, just six months after its public release. The decision, confirmed last week, was driven by unsustainable operational costs and rapidly declining user engagement, according to an investigation by The Wall Street Journal.

The closure represents a significant strategic reversal for the company, which had heavily promoted Sora's ability to create fantastical scenes from user prompts and uploaded faces.

Financial drain and user exodus

Despite a high-profile launch, Sora's global user base peaked at approximately one million before collapsing to fewer than 500,000. Concurrently, the application was consuming roughly $1 million per day in computational resources, primarily due to the extreme cost of generating AI video.

Every user request drained a finite supply of valuable AI processing chips. "Sora was a money pit that nobody was using, and keeping it alive was costing OpenAI the AI race," the WSJ report concluded.

Strategic refocus and competitive pressure

While a dedicated team worked on Sora, competitor Anthropic gained substantial ground with software engineers and enterprise clients—the core revenue drivers in the AI sector. Anthropic's Claude Code product was identified as a key threat, directly challenging OpenAI's market position.

Faced with these pressures, OpenAI CEO Sam Altman made the final decision to terminate Sora. The move was designed to free up critical computing power and refocus company resources on more sustainable and competitive projects.

Sudden termination shocks partners

The shutdown was executed with remarkable speed, catching major partners off guard. Entertainment giant Disney, which had committed to a $1 billion partnership centred on Sora, was reportedly notified of the tool's termination less than one hour before the public announcement. The lucrative deal was subsequently cancelled.

OpenAI has not detailed what will happen to user data or the technology developed for Sora. The company's immediate priority appears to be reallocating its computational and human capital to areas with stronger commercial prospects and lower operational overhead.