SAG-AFTRA rewrites AI-performer bargaining rules as Higgsfield ships a $500K AI film

Higgsfield AI just put a full-length sci-fi action thriller on the big screen using AI-generated visuals, and it cost around $500,000 to make. The movie, “Hell Grind,” premiered in May at Marché du Film in Cannes, a side event that is not the famous Cannes Film Festival. In a New York screening this week, the emotional jolt that the film briefly produced was real enough to make you forget, for a moment, you were watching something synthetic.

Then the uncanny valley came roaring back. Mid-flashback, the male lead, Roco, stares at a photo of his recently kidnapped love interest and the sadness and yearning feel genuine. But once the memories kick in, Roco and his AI-generated costars start laughing in an eerily synchronized fashion, and the illusion slips. That short circuit between “I felt that” and “wait, what am I watching” is the core tension executives should care about right now: the tech can reliably generate impressive outputs, but it still produces moments that break trust.

If you are an operator, investor, or producer, the timing matters because “Hell Grind” is not happening in a vacuum. Generative AI has crept into multiple entertainment workflows this year. Some post-production teams are using it for de-aging and other effects. Meanwhile, some actors in short dramas are already seeing roles go to AI characters. That shift has become a top concern for SAG-AFTRA, and the union approved new contract language this week that pushes producers to bargain over the use of synthetic performers. Translation: the legal and bargaining environment is moving, not later, and it is specifically aimed at how synthetic performers get used.

“Hell Grind” takes AI usage to the max, which is why it reads like a stress test of where the industry could land. Higgsfield AI, the startup behind the project, runs an AI platform for creatives, brands, and marketers. The company crossed a $1 billion valuation earlier this year, and it spent around $500,000 to produce a 95-minute film, with much of its budget going to computing costs. While AI has appeared in bits and pieces across Hollywood productions, “Hell Grind” is described as the highest-profile film made entirely with AI-generated visuals.

The production mechanics are also revealing for boardrooms. Higgsfield tapped in-house creatives and outside filmmakers who used highly specific text prompts (typically around 3,000 words) to generate around 100 hours of content, which was then edited down. The company did not use AI to write the script, aside from a few short filler moments, which Higgsfield’s CEO Alex Mashrabov told me he thought were noticeably less effective in the film. That is an important operational detail. It suggests the bottleneck and value are not just in “writing with AI.” It is in generating visuals and aligning them with an emotional through-line that does not collapse when the editing cadence, facial motion, voice work, or character behavior goes slightly off.

Mess up any of those alignment points and the story pays the price. At various points in “Hell Grind,” the reviewer says characters did things that felt off. For instance, the way Roco held a slice of pizza looked like it was his first time encountering the food. The synthetic children generally creeped the reviewer out. Voice work also did not always feel consistent, with one character seemingly flipping between a British and American accent. None of these are abstract critiques. They are concrete indicators that quality control is not “set it and forget it” yet, even when the visuals look impressive.

Mashrabov’s pitch for why this matters is about workflow iteration and the promise of controllable emotion. He told viewers at the screening this week that it is “a new workflow” and “very important for us so that we show to the world what's possible.” He also said the production process looks different because it is actually possible to go back and iterate with AI and deliver exactly the emotion the creative director was envisioning. For decision-makers, that frames the strategic bet: if iteration becomes cheaper and faster, studios and production teams can test more creative paths per dollar.

But SAG-AFTRA’s new contract language introduces friction that executives cannot ignore. If producers will be pushed to bargain over the use of synthetic performers, then “speed and cost savings” are not automatic. They become negotiation variables: who counts as a synthetic performer, what rights are required, what costs attach, and how deals get structured when AI output blurs the boundary between performance and post-production. That bargaining pressure can slow adoption in some categories while accelerating it in others, especially for low-risk projects where rights and compliance are clearer.

Strategically, “Hell Grind” lands where budgets meet imagination. The reviewer notes the plot is passable and the film lands somewhere between a video game and an effects-heavy project like “Planet of the Apes.” Still, the important implication is that action and sci-fi are genres where visual effects budgets can be a big constraint. That makes them prime candidates for AI-driven production experiments because the ROI case is easier to model. And if budgets and opportunities are not evenly distributed across the world, as Mashrabov said, AI could open doors for independent filmmakers who have grand ideas but small budgets. The catch is governance. As synthetic performers become more common, contracts will increasingly decide the pace.

For executives in entertainment and adjacent tech, the takeaway is simple: the technology is improving fast enough to create brief moments of real emotional buy-in, but the industry is also tightening the rules around synthetic performers. The next wave of competitive advantage will belong to the teams that can pair AI speed with editorial reliability and labor-compliant deal-making.