Two years ago, you could pass by a specific building in Burbank at midnight and see every floor lit up. The scent of burnt coffee never fully leaves the kitchenette, and VFX artists are working overtime to render farms humming behind soundproof walls. The same building is darker in May 2026. Quieter, but not quite empty.
Entire departments have undergone reorganization. After two weeks of compositing, some photos now return from a server in less than an hour. Without much fanfare, the “Sora moment,” as industry insiders have begun to refer to it, has arrived and is changing production schedules more quickly than anyone in Hollywood anticipated.
| Topic Snapshot | Details |
|---|---|
| Catalyst Technology | Generative video AI, sparked by OpenAI’s Sora |
| Adoption Year | 2024 launch, mainstream production use by 2026 |
| Production Use | Storyboarding, pre-visualization, full VFX shots, environment generation |
| Top 2026 Models | Google Veo 3.1, Runway Gen-4/4.5, Adobe Firefly Video, Leonardo.Ai |
| Studio Partnership Example | Lionsgate collaboration with Runway |
| Cost Impact | Drastic reductions in VFX budgets and on-location shoots |
| Job Displacement Estimate | 75% of AI-adopting film companies cut, consolidated, or eliminated roles |
| Notable VFX Voice | Supervisor Jim Geduldick, working with rapid previz pipelines |
| Content Authentication | C2PA metadata standards used for watermarking |
| Major Legal Front | Copyright disputes over training data and IP-based character generation |
| Industry Term Emerging | “Digital principal photography” |
Sora from OpenAI was the catalyst. The majority of VFX experts viewed the demo reels with a mixture of enthusiasm and skepticism when they initially appeared in early 2024. The videos were brief. Every now and then, the physics faltered.
Sometimes, limbs would do things they shouldn’t. However, the trend was obvious to anyone who had worked in visual effects. It wasn’t whether the technology will advance or not. It was the speed at which it would happen and what would remain in the industry by then.
It is now more difficult to ignore the response by 2026. These days, directors frequently use generative video to create previz footage in a matter of seconds instead of days. Jim Geduldick and other VFX supervisors have been discreetly creating hybrid pipelines that combine traditional computer-generated imagery (CGI) with AI-generated environments and creature work.
Observing this unfold gives the impression that a whole layer of production labor has been compressed into the prompt window. A third option is gradually taking the place of the debate over whether to create a woodland set or produce one digitally. Simply describe the forest and allow the model to create it.
No one anticipated that the competitive landscape would fill up so quickly. Veo 3.1 from Google has gained a reputation for producing reliable, cinematic results, especially in challenging lighting situations. With camera controls and multi-motion capabilities that seem to have been created by individuals who really watch movies, Runway’s Gen-4 and 4.5 lines have established something of a gold standard among independent filmmakers.
Because of its commercial-safe training data, Adobe Firefly Video, which is housed within Creative Cloud, is appealing to studios. For training custom models, Leonardo.Ai has established a niche. The fact that there isn’t a single winner contributes to the unpredictability of the situation.
The agreement between Lionsgate and Runway, which was revealed earlier in this cycle, was the kind of collaboration that indicated a tacit approval from the studio. Stop battling the tide, understand the methodology, and train your own models. In less visible ways, other big studios have followed. Some are using their own IP libraries to train character-specific models. Others are negotiating licensing agreements that were nonexistent as legal frameworks a year ago. The attorneys are occupied. They’ll still be very busy.
The labor discussion is more difficult. According to a 2024 study, in future reorganizations, 75% of film firms that used AI tools decreased, consolidated, or eliminated positions. These figures have only increased by 2026. Despite an increase in overall film output, VFX studios in Wellington, Mumbai, and Vancouver have all reported staff cutbacks.
The remaining artists frequently give varying descriptions of their current work. Reduce modeling. More output supervision, curation, and prodding. The craft is changing in ways that some people embrace and others lament.
The historical echo is difficult to ignore. Three decades ago, a generation of matte painters and model makers were replaced by the shift from practical effects to digital effects. Some made adjustments. Some didn’t. That’s how the Sora moment feels, except it’s condensed into eighteen months rather of ten.
The following several production cycles will show if the end effect is more storytelling, fewer storytellers, or both. The cameras are still in motion. But more work is being done by the servers than anyone in Hollywood is willing to acknowledge.