The Technical Context
I dug into the source of this story not out of curiosity, but because such rumors can quickly infect the market. The message was harsh: OpenAI was allegedly shelving Sora due to compute costs, poor retention, legal pains, and pressure from cheap Chinese competitors. It sounds plausible, but as of today, March 25, 2026, there is no confirmation of this.
What are the facts? Sora 1 was indeed decommissioned for some US users in March 2026. But this doesn't look like shutting down the entire initiative: Sora 2 is already its replacement, and product development continues around it. Moreover, the integration of Sora into ChatGPT is being publicly discussed, which suggests an expansion of distribution rather than a surrender.
I looked at indirect signals, and the picture is more mundane. Yes, video generation has expensive inference. Yes, such products often suffer from low retention: people experience the 'wow' effect, create a few videos, and not all of them return. Yes, the market has gotten tougher—Kling, Veo, and other players are applying pressure on both price and release speed.
But there's a huge gap between "the unit economics are challenging" and "the project is being shut down." For now, I see not an abandonment of video, but a typical restructuring for a major lab: something gets turned off, something gets repackaged, something gets hidden inside a stronger product. This is a classic move when a standalone application can't maintain retention, and the technology thrives better as part of a larger ecosystem.
Another point caught my attention. Even if the rumor about a "pivot to coding/research" isn't confirmed, the market vector itself is clear: models and products that directly accelerate the work of developers and knowledge workers are more predictably monetized than a pure generative video spectacle. And this is no longer gossip, but sound business logic.
What This Changes for Business and Automation
If we set the drama aside, the conclusion is very practical. Video generation remains powerful, but it's not the layer I would recommend starting with when implementing artificial intelligence in a company. The economics are too heavy, the results too subjective, and the ROI too difficult to prove, unless you're in media, advertising, or a content factory.
At Nahornyi AI Lab, I usually see a different pattern. The most successful scenarios are where AI automation reduces manual labor today: processing applications, support, sales assistants, internal copilots, document search, code generation, QA, and process orchestration. It's easier to count the money, maintain quality, and build an AI solutions architecture without surprises on the GPU bill.
Who wins from news like this? Those who didn't fall in love with a single model or one flashy demo video. I would bet on teams that design their AI architecture modularly: a separate LLM layer, a separate routing layer, and separate providers for text, code, search, vision, and video. Then, changing a supplier or model doesn't turn into an expensive adventure.
Those who build their strategy on hype lose. Today, it seems like video will change everything; tomorrow, the pricing, API availability, or moderation policy changes—and the whole system falls apart. I've seen this many times: the model shouldn't dictate the business process; the business metric should dictate the choice of model.
Therefore, my conclusion is this: I wouldn't present the rumor about "Sora's shutdown" as a fact in presentations. But as a reason to recalculate the economics of multimodal features—absolutely. Especially if you're planning an AI integration into your product and wondering whether to include video generation as a core function.
This analysis was prepared by me, Vadim Nahornyi of Nahornyi AI Lab. I don't just repeat what others are saying—I look at how such shifts impact real-world architecture, budgets, and the implementation of AI in products. If you'd like, I can quickly help you assess where AI business solutions will generate revenue in your case, and where they will just be an expensive firework show. Get in touch with me—let's discuss your project in detail.