OpenAI shut down its viral video generation platform Sora in October 2025, but the creative industry had already moved on to other tools that better fit their actual work processes. The discontinuation marks a turning point in how professionals evaluate AI video tools, shifting focus from flashy capabilities to practical integration with existing creative workflows. What Happened to Sora After Its Explosive Launch? Sora made an undeniable splash when it debuted in 2024. The platform hit 100,000 installs on its first day, climbed to the number one spot on the U.S. App Store, and reached 1 million downloads faster than ChatGPT itself, according to usage tracking data. OpenAI even released an updated version with more realistic footage, audio capabilities, and improved physics, intensifying both excitement and concerns across Hollywood about job displacement. But behind the scenes, something was already shifting. Usage data from Higgsfield, a video generation platform serving creators and agencies, shows Sora peaking around its October 2025 launch before steadily declining. By contrast, competing models like Kling and Nano Banana doubled their share of generations on Higgsfield between November 2025 and January 2026 and continued growing. "Our user base is predominantly professional creators and agencies, and they need consistent quality, controllability, and reliable output for commercial work. Sora found an audience in more casual content which is a valid use case, but not core to the needs of professional creators, studios and production teams," said Taz Patel, VP of platform partnerships at Higgsfield. Taz Patel, VP of Platform Partnerships at Higgsfield Why Did Agencies Abandon Sora Despite Its Promise? The disconnect between Sora's viral success and professional adoption reveals a critical gap between consumer hype and production reality. At major creative agencies, the story was consistent: Sora looked impressive but didn't deliver where it mattered most. At BarkleyOKRP, one of the country's largest creative agencies, leadership experimented with Sora but found it didn't match their actual creative workflows. "We experimented with it and kept watching how it evolved, but consistently found ourselves gravitating toward tools that better matched the way ideas actually get developed, refined, and moved through the agency," explained Tim McCraken, SVP creative and AI at BarkleyOKRP. "While Sora showed huge promise, it didn't really match up with the agency's workflows," said Tim McCraken, SVP Creative and AI at BarkleyOKRP. Tim McCraken, SVP Creative and AI at BarkleyOKRP At Havas, another major agency, Sora was integrated into their creative and production toolkit but remained largely unused. The primary issue was output quality. "We found other tools to be better in terms of output. Sora made a splash, but the other video models quickly surpassed them," noted Dan Hangen, Havas' global chief data and technology officer. "I don't believe Sora made it to that stage," said Dan Hangen, referring to the quality threshold required for client indemnification. Dan Hangen, Global Chief Data and Technology Officer at Havas At Code and Theory, the agency's primary video generation tools are Runway, Google's Veo suite, and Higgsfield. The agency even began experimenting with Chinese models like Seedance and Qwen. According to Peter Steiner, head of the company's creative labs, the issue wasn't just capability but fit. "People aren't just looking for AI content. They are looking for compelling content," Steiner explained. How Professional Agencies Are Now Evaluating AI Video Tools - Workflow Integration: Tools must fit seamlessly into existing creative processes, not require teams to restructure how they work or learn entirely new systems. - Output Quality Standards: Agencies require consistent, high-quality results that meet commercial standards and can be indemnified for client use without legal risk. - Camera Control and Flexibility: Professional creators need granular control over camera movements, the ability to extend existing shots, and precise creative direction rather than simple text-to-video generation. - Controllability and Reliability: Tools must produce predictable, repeatable results that professionals can depend on for deadline-driven commercial work. Sora's limitations in camera control and inability to extend existing shots pushed teams toward alternatives better suited to their needs. The platform excelled at generating novel content from scratch but struggled with the iterative refinement that professional production demands. What Does Sora's Shutdown Tell Us About AI Video's Future? OpenAI's decision to discontinue Sora reflects a broader strategic shift at the company. The company has been consolidating its core offerings, folding tools like its ChatGPT desktop app, coding assistant Codex, and browser capabilities into a more unified product experience. OpenAI is also building an ads manager, signaling that it's prioritizing products with clearer utility for enterprises and everyday users, as well as more scalable revenue streams like advertising. For the creative industry, Sora's departure signals something more profound: the era of single, all-purpose AI video tools may be ending. Instead, professionals are assembling custom toolkits tailored to specific tasks. Some agencies use Runway for certain effects, Google's Veo for others, and specialized platforms like Higgsfield for workflow management. This fragmentation reflects a maturation of the market, where one-size-fits-all solutions give way to specialized tools that excel at specific problems. "This deprioritization is a sign that studios and companies are moving toward operationalizing workflow AI to support human work, which leaves space for more original creative output," said Kathleen Barrett, CEO of Backlight and former SVP of Vimeo. Kathleen Barrett, CEO of Backlight The real lesson from Sora's shutdown isn't that AI video generation failed. Rather, it's that success in this space requires understanding how creative professionals actually work. Tools that prioritize impressive demos over practical integration, or raw generation power over controllability, will struggle to gain traction with the professionals who matter most. As the market matures, the winners will be those that make creative work easier, not just more automated.
