Hollywood’s AI Split Deepens as Studios Chase Efficiency and Talent Pushes Back

Updated August 4, 2026 2:25 pm

Artificial intelligence is already woven into Hollywood’s daily workflow, but the industry is deeply split over whether that is progress or a threat. In a wide-ranging interview, Puck founder Matt Belloni said the entertainment business is using AI far more widely than many outsiders realize, even as creators publicly condemn it and studios quietly explore how it can cut costs.

Belloni’s view matters because he sits at the intersection of Hollywood dealmaking, talent politics, and the legal fights surrounding copyright, likeness rights, and creative ownership. His comments help explain why some companies are embracing AI tools, why backlash still matters, and why the industry may be heading toward a sharper divide between human-authored prestige projects and more automated, mass-produced content.

The debate is no longer theoretical. It is showing up in writer’s rooms, in studio strategy, in mergers and acquisitions, and in the public reactions to high-profile deals such as Netflix’s purchase of Ben Affleck’s AI startup and Google DeepMind’s investment in A24. As Belloni argued, AI is not just a software story in Hollywood; it is becoming a labor story, a branding story, and an identity story all at once.

What Belloni means when he says “everyone is doing it”

Belloni’s core argument is that AI in Hollywood now comes in two distinct forms. One is the visible, controversial version: generative AI used to create text, images, audio, or video. The other is the quieter, less controversial version: AI used to streamline internal business operations such as search, scheduling, development, and workflow management.

On the second front, Belloni said adoption is already widespread. In his telling, most studios, production companies, and agencies are using some form of AI, even if they do not advertise it. That could mean search tools, productivity software, or systems that help employees organize information and move projects forward faster.

The more sensitive issue is creative use. Belloni described hearing about a prominent showrunner who reportedly scolded a writing team for not using ChatGPT to help generate ideas and structures. The point, he suggested, is not that AI replaces the writer, but that it is creeping into the brainstorming phase in ways that many industry figures once would have rejected outright.

Belloni’s view is that the taboo has not disappeared, but the practical use case has become hard to ignore. In his description, some writers are already using AI tools for prompts, scene descriptions, and scenario generation, even if they would never admit that publicly.

Why the Writers Guild line matters

According to Belloni, the Writers Guild of America is not categorically opposed to every use of AI. The key condition, he said, is that a credited human writer remains responsible for the script and that the technology does not become a substitute for labor that should otherwise be paid.

That distinction is crucial. It suggests Hollywood’s labor battle is not about whether AI exists, but about where it sits in the creative chain. If AI is treated as a support tool, it may be tolerated. If it becomes a replacement mechanism, it becomes a bargaining issue.

Where is AI getting the strongest foothold in Hollywood?

AI appears to be making its earliest and most obvious inroads in animation and post-production, where visual experimentation can speed up work that would otherwise require more artists, more time, or both. Belloni argued that the technology is still imperfect, but it is already useful enough to tempt studios under pressure to lower expenses.

He said many AI-generated projects remain easy to spot and often look weak compared with traditional filmmaking. Even so, he believes the animation pipeline is especially vulnerable because generative systems can help with storyboards, scene construction, backgrounds, and concept development before the final polish is added by human teams.

That is one reason the industry is paying close attention to the number of companies now pitching AI not as a replacement for filmmaking, but as a production assistant. The promise is fewer expensive reshoots, faster iteration, and more flexibility in the editing room.

How Netflix, Amazon, and others are testing the waters

Netflix drew attention after its earnings call, where the company said hundreds of shows are already using generative AI in some form. Belloni argued that Netflix has earned a different kind of goodwill on the issue because of its deal with Ben Affleck’s AI company, a transaction worth $587 million that gave the streamer instant credibility through a recognizable creative name.

Amazon also became a case study in the public backlash that can follow AI-related announcements. Belloni pointed to a media event in which Amazon showcased a generative studio and announced several projects involving real creators. According to his account, online criticism hit one of those creators so hard that he stepped back from the project, illustrating how reputational pressure can still affect the industry.

Other major technology and entertainment deals show how fast the landscape is changing. Google DeepMind reportedly invested $75 million in A24, while Lionsgate took a stake in Runway, a prominent AI video company. Those transactions underscore the degree to which media companies are now treating AI as a strategic asset rather than a novelty.

Why are studios rushing toward AI now?

Studios are chasing AI because the economics of entertainment have become more difficult, and executives are under pressure to preserve margins. Belloni said one of the biggest concerns inside the business is that production costs continue to rise while the box office does not always keep up.

That tension is especially acute in animation and prestige filmmaking, where budgets can balloon quickly. Belloni singled out Pixar as a prime example, saying original features can cost well over $200 million to produce because they are built through labor-intensive processes and often rely on a large California workforce.

From the studio perspective, AI offers a possible answer to a very old question: how do you make the same amount of content, or more, for less money? The technology is appealing because it promises efficiency in a business that has traditionally been built on expensive human labor.

The labor equation is central

Belloni argued that labor costs are one of the main reasons AI remains so attractive to executives. If unions are unwilling to accept lower wages or fewer jobs, he said, the burden of savings shifts toward technology and toward parts of the production process that are less protected.

That does not mean AI will move uniformly across every job category. Rather, it may begin by affecting so-called below-the-line work, visual development, pre-production planning, and certain technical tasks before moving farther into creative territory.

The central industry conflict is therefore not just about tools. It is about who gets to keep working, who gets credited, and who gets paid when a machine performs a task that once required a team of people.

Who is protected by reputation, and who gets punished?

Not everyone faces the same level of scrutiny when they adopt AI. Belloni suggested that celebrities and filmmakers with strong reputations can often absorb backlash more easily than lesser-known creators.

Ben Affleck is a good example. Belloni said the public reaction to his AI venture was relatively muted because Affleck had enough trust, fame, and filmmaking legitimacy to frame the product as a filmmaking tool rather than a threat. The deal’s size, rather than the technology itself, seemed to generate the most astonishment.

By contrast, newer or less established creators may be more vulnerable to online criticism if they are perceived as too eager to embrace AI. That is especially true in a business where brand identity matters and fans can react quickly to perceived betrayals.

Belloni emphasized that Hollywood is still a relationship-driven business. Talent matters, he said, but so does the ability to reassure other creators that AI use is being handled carefully and transparently.

How A24 became a warning sign

The backlash around A24’s reported AI-related relationship with Google DeepMind revealed how strongly audiences can react when a beloved brand appears to be drifting toward technology companies. A24’s reputation rests partly on its identity as a curator of distinctive, filmmaker-driven work, so any move seen as too corporate or too automated can trigger resentment.

For companies with a strong fan base, this creates a balancing act. AI partnerships may bring capital and technical capability, but they can also damage the authenticity that makes the brand valuable in the first place.

How does this affect the future of movies?

Belloni’s broader forecast is that Hollywood may eventually split into two creative economies. One would center on films and series that are clearly human-made, authored by recognizable filmmakers, and marketed as authentic cultural experiences. The other would consist of content that is generated, assisted, or heavily shaped by AI and consumed more passively.

That divide could become more pronounced as social media becomes increasingly synthetic and harder to distinguish from reality. In that environment, Belloni suggested, the value of a clearly human-made movie may rise rather than fall, because audiences will crave something they can trust as distinct from algorithmic noise.

This helps explain why he thinks prestige filmmakers still matter. Directors like Christopher Nolan, with massive credibility and an unmistakable artistic identity, are able to sell movies as events. Their work feels “authored” in a way that AI-heavy projects may struggle to match.

What about Christopher Nolan and The Odyssey?

Nolan’s upcoming adaptation of The Odyssey is an example of the kind of large-scale production that could become even more valuable in an AI-saturated marketplace. Belloni argued that part of its appeal is not merely its budget or cast size, but its visible human authorship.

He suggested audiences can tell when a work feels guided by a singular creative vision. That is an advantage traditional filmmaking still has, especially when a director with Nolan’s track record can make even a mythic epic feel tangible and specific.

Belloni also contrasted Nolan with younger filmmakers, such as Kane Parsons, whose ascent reflects the power of digital-native storytelling and the new creative tastes of younger audiences. Parsons has criticized generative AI, but Belloni argued that his commercial relevance still leaves studios eager to court him.

That, in Belloni’s view, is the real business logic: studios are in the talent business first. They may want cost savings, but they also need filmmakers who can produce work that audiences recognize as special.

Can AI become a normal part of filmmaking without hollowing out Hollywood?

Belloni’s answer is yes, but only if the industry draws a clear line between support tools and replacement tools. He argued that studios can use AI to improve workflow, reduce waste, and streamline production without surrendering the thing that makes theatrical and premium television work valuable: the sense that a real person made something worth watching.

He compared the current moment to earlier technological disruptions in Hollywood. Sound, television, home video, digital effects, streaming, and mobile viewing all forced the business to adapt. Some jobs disappeared, some new ones emerged, and the industry changed shape repeatedly without collapsing.

The risk, however, is that AI may alter not just how content is made, but how much audiences trust what they see. If everything begins to look synthetic, then human-made work may become the premium category. If that happens, the companies that overuse AI could damage their own differentiation.

Why the “slop” problem matters

Belloni warned that the threat is not merely technical. It is aesthetic. If large networks or studios fill their schedules with low-quality AI-generated material, they risk training audiences to see the brand itself as disposable.

In his view, that would be a strategic mistake. Hollywood’s value has long rested on its ability to sell event storytelling, recognizable talent, and a sense of craft. If AI is used in a way that erodes those qualities, studios may win on cost but lose on cultural relevance.

The challenge is that the technology is improving quickly, and executives are unlikely to resist a tool that promises cheaper output. That makes governance, ethics, and labor rules more important, not less.

Timeline: how the current Hollywood AI moment took shape

What Belloni’s comments reveal about Hollywood’s mood

Belloni’s interview suggests Hollywood is no longer debating whether AI will enter entertainment. It already has. The real debate is over how far it should go, who controls it, and whether the business can preserve trust while using it to cut costs.

For executives, AI is increasingly a tool of survival in a high-cost industry under pressure. For creators, it is both a shortcut and a threat. For audiences, it may soon become another invisible layer of the content pipeline, except when it is not—and when it becomes visible, it may provoke backlash all over again.

That tension is likely to define Hollywood’s next phase. The companies that succeed may be the ones that combine efficiency with restraint, using AI where it helps without allowing it to flatten the craft, the authorship, and the human signature that still separate a true event from disposable content.

For now, Belloni’s main point is simple: AI is already inside Hollywood. The question is whether the industry can use it without losing the very thing that makes Hollywood worth watching.

FAQ

Is AI already being used in Hollywood?

Yes. AI is already being used across Hollywood for both business operations and creative tasks. Studios, streamers, and production companies are using it for search, workflow, and development, while some writers and producers are also experimenting with generative tools inside the creative process.

Why are Hollywood studios interested in AI?

Studios are interested in AI because it promises lower production costs, faster workflows, and more efficient development. As budgets rise and box office performance becomes less predictable, executives are looking for technology that can help them make more content without increasing spending at the same pace.

What is the biggest concern about AI in entertainment?

The biggest concern is that AI could replace human labor and weaken the creative identity of film and television. Writers, actors, directors, and union leaders worry that studios may use AI to reduce jobs, cheapen production, or flood the market with low-quality content.

Why did Ben Affleck’s AI deal matter so much?

Ben Affleck’s deal mattered because his fame gave the project legitimacy. A major star and filmmaker can frame AI as a production tool rather than a threat, which softens backlash. The size of the transaction also made it a signal that serious money is now flowing into AI entertainment tools.

Will AI replace Hollywood filmmakers?

No, not completely, but it may change which kinds of projects are made and how they are produced. High-end filmmakers with strong creative brands are still likely to matter, while lower-cost, more formulaic content may become increasingly automated or AI-assisted.