As Hollywood Agonizes Over AI, a Parallel Industry Forges Ahead

At this year’s Tribeca Festival, “Dreams of Violets,” a docudrama about anti-government protests in Iran, screened as the first fully AI-generated feature in a major film festival. It was a moment that signaled how quickly generative AI filmmaking is moving into the industry’s core arenas.

The shift is happening alongside a broader surge in AI video capabilities, with image-to-video tools advancing rapidly amid a growing market around AI-driven animation and production workflows.

Filmmakers are already testing where those tools fit. Director Martin Scorsese is incorporating AI into pre-production, while other directors including Gareth Edwards, Steven Soderbergh and Darren Aronofsky have publicly explored its creative potential, even as public figures such as actor Guillermo del Toro continue to push back.

At the same time, the economics of filmmaking are being rewritten outside the studio system. Emerging creators are using multi-tool AI pipelines to produce high-quality scenes and even full features at a fraction of traditional costs.

For example, the first-time filmmaker behind the 75-minute “Dreams of Violets” made the docudrama for roughly $2,000. Today, shorter sequences that once required six-figure budgets can be executed for hundreds of dollars in a matter of days.

As these workflows become more accessible, the gap between independent creators and studio-backed productions is narrowing, reshaping assumptions about budget, scale and who gets to make films in the first place.

AI creatives with no gatekeepers

What is driving this shift is a new wave of AI creatives reshaping the industry. Gossip Goblin released more than 600 episodes in two years with over 3 million followers using off-the-shelf AI tools.

Ash Koosha’s “Dreams of Violets” recreated Iran’s anti-government protests in January 2026, events that couldn’t be filmed when the country shut down communications during the crackdown. Koosha generated the film from his London flat using AI video models fed with news and photos of the protests, as well as eyewitness accounts.

These AI creatives work on their laptops, building serialized, character-driven narratives and platform-native content that traditional Hollywood isn’t structured to produce. They have their own audiences on Instagram and YouTube. No studio. No gatekeepers.

AI filmmaking is moving forward with or without industry consensus. The tools are already in circulation, the audiences are already there, and the cost advantages are too significant to ignore.

Yet the industry’s embrace of AI is far from unanimous.

SAG-AFTRA has pushed for the ‘No Fakes Act,’ a bipartisan bill that would make it illegal to create AI replicas of someone’s likeness or voice without permission. The union’s 2026 contract with studios also set firm limits on synthetic performers, putting human talent ahead of algorithms. The Art Directors Guild has publicly criticized Scorsese’s AI partnership, accusing him of turning his back on the artists who helped build cinema.

The backlash is not limited to Hollywood.

In China, AI-generated actors and synthetic performances have sparked public criticism, even as the country’s film and streaming sectors adopt generative AI more broadly. India is seeing a similar tension, with filmmakers using AI at scale while critics question what gets lost when machines start doing the work of actors and crews.

Then there is the case of Val Kilmer. The late actor was digitally recreated using generative AI in “As Deep as the Grave,” a historical drama made with the cooperation of his family and estate. The project used archival material along with visual and audio synthesis, but it still drew backlash and reopened questions around consent, ethics and posthumous performances.

Not Hollywood 2.0

While Hollywood and the big studios in China and India are still debating AI, a separate industry has already taken shape. AI video creators have forged their own genre, operating outside the traditional system and building audiences that rival mainstream entertainment.

This is not Hollywood 2.0. It is something new, with its own creative rules, its own distribution channels, and a massive engaged audience that has already chosen to watch its content. These creators are not trying to replicate studio films but developed their own styles. They reach millions directly on Instagram, YouTube, and other platforms – a distinct ecosystem with its own momentum.

AI filmmaking is moving forward with or without industry consensus. The tools are already in circulation, the audiences are already there, and the cost advantages are too significant to ignore. For studios and guilds, the challenge is no longer containment but response: how to set boundaries, protect talent, and remain competitive in a landscape where production no longer depends on scale.

What is taking shape does not mirror Hollywood so much as run alongside it.

A parallel system is emerging, defined by speed, low overhead, and direct distribution, where creators build audiences without relying on traditional gatekeepers. As synthetic images and performances become harder to distinguish from reality, the long-term question for the industry is not just how these tools are used, but whether viewers are willing to trust what they see.