In a move that has shaken the entire audiovisual industry, Netflix has finalized its acquisition of InterPositive , a discreet but ambitious artificial intelligence startup for filmmaking founded by Ben Affleck. The transaction, for which no financial details have been disclosed, reinforces the platform's commitment to controlling its own technology as it races to differentiate itself from other streaming services.
Beyond the eye-catching headline, the move has a clear message: Netflix wants to shorten production times and reduce costs without giving the impression that AI will replace screenwriters, directors, or actors. And at a time of heightened sensitivity in Hollywood and European audiovisual hubs, this distinction is far from insignificant.
InterPositive: Ben Affleck's startup that wants to streamline post-production
The name may not have rang a bell until now, but InterPositive is a startup founded in 2022 by Ben Affleck with a very specific idea: to use artificial intelligence to solve the problems of filming and post-production, without inventing movies out of thin air or generating synthetic actors.
As Affleck himself explained, the spark came when he saw that the AI ​​tools available to filmmakers were not designed for the reality of a professional set : many were generic solutions that did not understand the limitations of time, budget and visual consistency that a large production demands.
InterPositive's system works using the footage recorded daily on set, the famous "dailies" or shooting diaries . With this footage, the tool trains a customized AI model for each film or series , capable of understanding the actual lighting, color palette, type of lenses used, typical camera movements, and the visual aesthetic defined by the creative team.
Once trained, this model is used in post-production to accelerate tasks that, until now, required weeks of manual work. This includes color correction, lighting adjustments, background changes and replacements, visual effects integration , and even fixing continuity issues between shots when something has been filmed out of sync or under different conditions.
In Affleck's words, the idea is not for the AI ​​to "pull a movie out of thin air," but rather to become a kind of Swiss Army knife for the post-production team , capable of saving shots that would previously have to be repeated or, directly, discarded.
How InterPositive's AI works and what makes it different
Unlike models like Sora or other generative solutions that use text to create images and videos, InterPositive operates in a different league . Its AI doesn't generate complete scenes, but rather understands the visual logic and editorial coherence of a specific project in order to work with the existing footage.
The team, made up of 16 people including engineers, researchers, and creatives , has trained models that respect the basic rules of cinematic language. The focus is on dealing with real-world, day-to-day problems: missing shots, poorly lit scenes , backgrounds that need to be changed at the last minute, or scenes that don't quite fit together in the edit.
To build the first model, Affleck and his team used a specially recorded dataset designed to teach the AI ​​how a camera behaves in real-world filming situations. The result was a smaller, more specific system than the large, general-purpose models, but much more closely aligned with the craft of filmmaking.
One of the points most emphasized by InterPositive and Netflix is ​​that the technology includes built-in ethical and creative constraints . In practice, this means that the software has been configured not to overstep certain boundaries: the AI ​​suggests and automates technical tasks, but the final decisions remain with the artists , who can accept, adjust, or reject the system's proposals.
The result is an AI that, in theory, prioritizes visual logic and editorial consistency over gratuitous spectacle, something especially important when working with series and films that must maintain a recognizable style from beginning to end.
Ben Affleck: From Hollywood star to tech founder and senior advisor
Far from being a mere publicity stunt, Ben Affleck has been deeply involved in the company's design . His experience as an actor, director, screenwriter, and producer has allowed him to pinpoint with considerable accuracy where productions get bogged down and what kind of technical assistance is most appreciated when time is of the essence.
Affleck has repeatedly emphasized that his goal with InterPositive was to protect what makes storytelling human: judgment . That judgment built on years of filming, mistakes, successes, and difficult decisions, and which no machine possesses on its own.
Hence, I repeat one idea like a mantra: this AI was not created to replace anyone , but to lighten the heavy workload and allow creative teams to dedicate more time to what cannot be automated: the tone of a scene, the rhythm of an edit, the nuance of a performance, or the atmosphere of a location.
With the acquisition finalized, Affleck becomes a senior advisor at Netflix , reporting directly to the company's leadership. His role will be to help deploy these tools across various productions and ensure that the technological implementation doesn't overshadow the filmmakers' voices, a concern in both Hollywood and Europe.
For Netflix, being able to say that an AI tool has been conceived, tested, and championed by a prestigious filmmaker also serves as a reassuring message to directors, screenwriters, and actors who view these technologies with some distrust.
Netflix's stance: AI yes, but with artists at the center
The operation comes at a delicate time. After the writers' and actors' strikes in the United States, where the use of AI was a major point of contention , any move by the big platforms in this area is being scrutinized.
Netflix's official stance is clear: AI should expand creative freedom, not curtail it . Chief Content Officer Bela Bajaria has described InterPositive as a tool that offers filmmakers "more choice, more control, and more protection," emphasizing that the relationship with artists is based on trust and respecting their decisions.
Meanwhile, Chief Product and Technology Officer Elizabeth Stone emphasizes that the company's focus has always been on responding to the specific needs of the creative community and subscribers. According to Stone, the InterPositive team is joining Netflix precisely because they share the belief that technological innovation should empower storytellers, not replace them.
Affleck went even further, explaining that they incorporated "restrictions to protect creative intent" from the design stage . In other words, the tool was built so that the major decisions continue to be made in the editing room, at the script table, or on set, while the AI ​​handles technical details and offers alternatives.
In an ecosystem where models proliferate that are capable of generating impressive scenes but also of threatening jobs and blurring authorship , this more conservative and assistance-focused stance has a greater chance of being accepted by unions and professional associations, both in the United States and in Europe.
What Netflix gains: speed, technological control, and a competitive advantage
Beyond the rhetoric, there's a very practical component: Netflix produces hundreds of titles a year in numerous countries , with series like Stranger Things , tight schedules, and budgets that, while high, aren't unlimited. Any tool that shortens post-production work by reducing the time spent on projects translates directly into money and more room to take risks with new ones.
By integrating InterPositive into its internal workflow, the company aims to expedite the post-production process for series and films . In theory, this should allow for earlier releases, reorganized launch schedules, and a more agile response to what performs well on screen.
Another key point is that Netflix has hinted it has no intention of selling these tools to third parties. InterPositive's technology will be used internally, as a kind of hidden advantage over Disney+, Prime Video, Apple TV+, and the other platforms vying for viewers' attention.
The operation also strengthens the company's technological independence: instead of relying solely on external AI providers, Netflix secures its own talent and intellectual property in an area as sensitive as the creation of audiovisual content.
The fact that a company with only 16 people has developed a solution robust enough to be attractive to a giant with more than 260 million subscribers demonstrates, incidentally, that vertical specialization in very specific problems remains a viable path for AI startups.
Impact in Europe and Spain: more agile productions and less tense sets
InterPositive's integration won't be limited to major Hollywood projects. Netflix has been investing in European productions for years , with Spain as one of its key markets, and all indications are that this technology will eventually reach film sets and editing suites across the continent.
In countries like Spain, where many projects are built with tighter budgets and schedules , having an AI capable of correcting lighting errors, saving compromised shots, or adjusting backgrounds without having to repeat an entire day of filming can make a huge difference.
For production companies working with Netflix in Madrid, Barcelona, ​​or any other European city, having models specifically trained on the footage of each series or film means gaining visual consistency and, at the same time, flexibility. If a sunset doesn't turn out as expected, if a cloud sneaks in where it shouldn't, or if a location falls short, AI can help smooth out the problem without blowing the budget.
From a scheduling perspective, the goal is to prevent European releases from being hampered by post-production bottlenecks . If the system works as promised, Netflix could better align its global releases, bringing series and films shot in Spain or other European countries with international potential to market sooner.
Clearly, it will also be necessary to see how the concerns of local teams are addressed . Editors, colorists, VFX artists, and other technical professionals will be watching closely to see if the tool is used to strengthen their skills or if, little by little, it becomes an excuse to cut jobs. The official narrative is clear in the first sense, but its actual use will be assessed on a production-by-production basis.
A move that sets the direction the industry is heading.
The acquisition of InterPositive aligns with the strategy Netflix has been outlining to its investors: the company believes it is well-positioned to leverage AI advancements throughout its production and distribution cycle. While it had already experimented with artificial intelligence in special effects and other areas, it lacked a proprietary tool so deeply integrated into the core of the creative process.
In a sector where other major tech firms are vying for talent and AI patents, investing in a small but highly specialized startup allows Netflix to make its move without resorting to massive acquisitions . Instead of buying entire studios, as was rumored with other media groups, it has opted to fine-tune the engine that powers its productions.
For the entrepreneurial ecosystem, the case sends several clear messages: there is room for AI solutions highly focused on niche problems ; ethical storytelling and respect for creators can be a differentiating factor; and the combination of practical experience and technical knowledge remains one of the most attractive formulas for attracting the attention of giants like Netflix.
While we await to see how all this translates to the screen—and in the credits of upcoming series and films—the move leaves a clear impression: AI has already established itself as a structural part of film and television , and the discussion, both in Hollywood and in Europe, is no longer whether it will be used or not, but how and under what conditions it will be integrated into the daily work of those who tell stories.
