10 Things to Know About Ben Affleck’s AI Patent Filings and What They Mean for Video Production
The video production industry is no stranger to technological disruption. From the transition to digital cameras to the rise of virtual production volumes, crews have continually adapted to new tools. However, the recent revelation that Academy Award-winning actor and director Ben Affleck has been quietly building an artificial intelligence company called InterPositive has sent shockwaves through Hollywood and the broader video production community.
In March 2026, Netflix announced its acquisition of InterPositive for a reported sum of up to $600 million. While the acquisition itself made headlines, it is the underlying patent filings that reveal the true scope of Affleck’s vision for AI in filmmaking. With 14 patent filings to his name and a technology platform that promises to reshape production workflows, this is a story that every working professional in video production needs to understand.
For below-the-line crew members, including camera operators, grips, gaffers, editors, VFX artists, and set dressers, the implications are significant. Here are ten essential things you need to know about Ben Affleck’s patent filings and their potential impact on the video production industry.
1. Ben Affleck Has Filed 14 Patents for AI Filmmaking Technology
Patent Title | Type | Status |
Integration of video language models with AI for filmmaking | US Patent (US12438995B1) | Granted Oct 2025 |
Artificial intelligence-based video content creation with predetermined styles | US Patent (US12511837B1) | Granted Dec 2025 |
Training a captioner model to generate captions for video content | US Patent (US12511904B1) | Granted Dec 2025 |
AI-driven generation of video content meeting professional film standards | WIPO Application | Published Dec 2025 |
LiDAR data utilization for AI model training in filmmaking | WIPO Application | Published Dec 2025 |
Simulation of professional filmmaking techniques | WIPO Application | Published Dec 2025 |
Machine learning model training with parameter variation in filmmaking | WIPO Application | Published Dec 2025 |
Cinematic data collection and processing for AI-driven video production | WIPO Application | Published Dec 2025 |
Video content generation utilizing metadata and LiDAR data | WIPO Application | Published Dec 2025 |
Simulation-driven AI model training environment for filmmaking | WIPO Application | Published Dec 2025 |
Synthetic data generation for machine learning in filmmaking | WIPO Application | Published Dec 2025 |
AI-based filmmaking tools for consumer use | WIPO Application | Published Dec 2025 |
Training AI models with synthetic and real-world filmmaking data | WIPO Application | Published Dec 2025 |
Integration of video language models with AI for filmmaking (International) | WIPO Application | Published Dec 2025 |
2. The Technology Was Built for Filmmakers, by a Filmmaker
Unlike many AI video generators developed by tech companies with limited understanding of production workflows, InterPositive’s technology was designed specifically for the film industry by someone who has spent decades working within it. The core patent, titled “Integration of video language models with AI for filmmaking” (US12438995B1), describes a system that teaches an AI model to understand how a scene was actually shot, not just what objects appear in the frame .
The system processes filmmaking metadata that mirrors how cinematographers and directors actually think about their work: focal length, camera movement, depth of field, camera angle, occlusion, and parallax. By training the AI on a proprietary dataset captured on a controlled soundstage with all the elements of a full production, the model learns the visual logic and editorial consistency required for professional work.
As Affleck explained in his statement announcing the Netflix acquisition, “Together with a small team of engineers, researchers and creatives, I began filming a proprietary dataset on a controlled soundstage with all the familiarities of a full production. I wanted to build a workflow that captures what happens on a set, with vocabulary that matched the language cinematographers and directors already spoke”.
3. It Was Developed in Total Secrecy for Four Years
Affleck founded InterPositive in 2022, operating in stealth mode for nearly four years before the Netflix acquisition. The company was originally registered under a shell corporation called Fin Bone LLC, and the patents were filed under Affleck’s legal name. This level of secrecy allowed the company to develop its technology without the intense scrutiny that typically accompanies celebrity-backed tech ventures.
The company itself was remarkably small, consisting of just 16 engineers, researchers, and creative staff. Despite its size, the team developed what Netflix considered to be industry-changing technology worth hundreds of millions of dollars. The stealth approach also meant that the industry was largely unaware of the specific capabilities being developed until the patents were published and the acquisition was announced, leaving many production professionals scrambling to understand the implications.
4. The Patent Filings Promise Aggressive Below-the-Line Cost Reductions
Production Category | Projected Cost Savings |
Total production costs (conservative) | 10-20% |
Visual effects | 50% |
Background actors and stand-ins | 70% |
Additional production units (outside main location) | 40% |
Art department | 30% |
Set dressing | 40% |
Physical production schedule | 20% reduction on day one |
5. Visual Effects Departments Face the Biggest Impact
One of the most striking claims in the patent filings is the potential impact on visual effects budgets. The documents suggest that VFX costs could be cut by as much as 50 percent. This aligns with comments Affleck made at a CNBC conference in November 2024, where he stated, “I wouldn’t like to be in the visual effects business. They’re in trouble because what used to cost a lot of money is going to cost a lot less. And it’s going to hammer that space, and it already is. And maybe it shouldn’t take a thousand people to render something”.
The technology aims to automate laborious post-production tasks such as relighting scenes, removing wires from stunt shots, correcting continuity issues, and enhancing backgrounds. While this could streamline post-production workflows, it raises serious concerns about job security for VFX artists and technicians who rely on these tasks for their livelihoods. For editors and post-production professionals, the message is clear: the landscape is shifting, and the ability to work alongside AI tools will become an increasingly valuable skill.
6. Camera Crews and Grips Should Pay Attention to the LiDAR Integration
A key technical component of InterPositive’s technology is the integration of LiDAR (Light Detection and Ranging) data. Several of the patent filings detail how the system uses LiDAR to correlate 2D video with 3D spatial data, enabling the AI to accurately simulate professional filmmaking techniques within a three-dimensional environment.
For camera operators, grips, and gaffers, this has practical implications. The data captured on set will increasingly include spatial information alongside traditional video and audio. LiDAR scanners may become standard equipment on productions using this technology, and crew members who understand how to capture and work with spatial data will have a competitive advantage. The patent describes using this 3D data to simulate camera movements such as dolly shots, pans, tilts, crane shots, and even handheld movements, as well as to adjust lighting in post-production based on the spatial metadata captured during the shoot.
7. Background Actors, Second Units, and Location Crews Are Directly Targeted
The cost-saving projections extend well beyond post-production into the physical production process itself. The patent application claims that savings could reach 70 percent for background actors and stand-ins, and 40 percent for additional production units in cities outside the main location.
The patent explicitly identifies the following areas as targets for AI replacement or reduction: background artists (extras), second unit and splinter unit filming, aerial photography, insert shots, and reshoots. By leveraging AI to generate or enhance location footage, productions may be able to reduce the need for expensive travel and location shoots. The patent describes the ability to “shoot close to home” while achieving the look of distant locations.
This could have a profound impact on local economies that rely on film production revenue, as well as the crews who specialize in these areas. For gaffers and grips who frequently work on second units, and for location scouts and managers, this technology represents a direct challenge to their traditional roles.
8. There Is a Consumer Application That Could Disrupt the Entire Market
Beyond its business-to-business applications for studios and streamers, the patent filings describe a consumer-facing product that could fundamentally change the video production landscape. The system envisions mobile applications available through app stores that would allow everyday consumers to transform home videos into cinematic productions.
The patent describes “packages” or “filters” with names like “Classic 70’s mob movie,” “Sci-Fi fantasy 90’s tech paranoia thriller,” and “WW2 epic action movie.” These consumer tools would apply the same AI filmmaking techniques used in professional production to amateur footage, effectively democratizing cinematic quality. While this could create exciting new creative opportunities, it also raises questions about the perceived value of professional production services when consumers can achieve similar visual results with an app.
9. Netflix Paid Up to $600 Million and Will Keep It In-House
Following the acquisition, InterPositive’s tools will be used exclusively on Netflix’s in-house productions. Netflix paid up to $600 million for the company, with the final cost dependent on performance targets, according to Bloomberg and Variety. Affleck has joined Netflix as a Senior Advisor, and the entire InterPositive team of 16 has been integrated into the streaming giant’s operations.
For independent production companies and freelance crews, this means that access to these specific tools will be limited to those working on Netflix projects, at least for now. However, the patent filings originally envisioned a licensing model where the technology would be offered to various partners. “AI service providers can generate substantial revenue by charging a fraction of the cost savings as their fee, thereby creating a win-win situation for both the film industry and the technology sector,” the patent application states.
The concepts and techniques outlined in the patents will likely inspire similar developments across the industry. Other studios and streamers will almost certainly pursue comparable AI filmmaking tools, eventually making this type of technology broadly available.
10. The Industry Must Adapt, and Below-the-Line Workers Need a Voice
The revelation of Ben Affleck’s AI patents underscores a fundamental shift in the video production landscape. While the technology promises to enhance creative possibilities and reduce costs, it also presents significant challenges for below-the-line crew members whose roles may be automated or diminished.
Critics have noted a tension between Affleck’s public messaging and the patent filings themselves. As Paste Magazine observed, Affleck’s language about “preserving human judgment” and “empowering creators” appears to refer primarily to above-the-line roles like writing, directing, and acting, while the cost savings are concentrated in below-the-line departments. The patent even discusses strategies for recruiting “ambassadors” to help normalize AI usage among directors and overcoming industry resistance to AI adoption.
Major unions including SAG-AFTRA, IATSE, and the DGA are negotiating new contracts with studios and streamers against this backdrop of rapid AI adoption. The specific cost-cutting figures in these patent filings will undoubtedly become part of those negotiations. For working professionals in video production, staying informed about these developments and advocating for fair treatment in the age of AI is more important than ever.
What This Means for Video Production Professionals
For professionals at Beverly Boy Productions and across the video production industry, the takeaway is clear: AI is not a distant future concern. It is here, it is backed by hundreds of millions of dollars in investment, and it is specifically designed to reduce the cost of the work that below-the-line crews perform every day.
The most effective response is not to resist the technology but to understand it, adapt to it, and ensure that the human expertise and craftsmanship that define great production work remain valued and compensated. Camera operators who understand LiDAR data capture, editors who can work alongside AI post-production tools, and gaffers who can integrate digital lighting workflows into their skillsets will be best positioned for the future.
The tools may change, but the art of storytelling remains fundamentally human. The challenge for our industry is to make sure that the humans who bring those stories to life are not left behind in the rush to cut costs.
