Netflix to Acquire Ben Affleck’s AI Firm in $600M Deal

Netflix is acquiring Ben Affleck’s AI filmmaking company InterPositive for up to $600 million, marking one of its largest tech-driven bets yet. The cash portion is lower, with additional payouts tied to performance milestones, signaling Hollywood’s growing embrace of AI-powered content creation.

Post acquisition, Netflix will be bringing its 16‑person team into the streaming giant.  

Key Details of the Deal

• Company: InterPositive, founded by Ben Affleck in 2022
• Acquisition Price: Up to $600 million (cash + performance-based earnouts)
• Purpose: Accelerate Netflix’s use of AI in filmmaking
• Capabilities:
  • AI tools to maintain cinematic logic
  • Automated fixes for production issues (e.g., lighting errors)
• Context: Netflix recently lost a bid for Warner Bros. Discovery, making this deal a strategic pivot toward proprietary tech

Why This Matters

• Hollywood Shift: The deal underscores how major studios are warming to AI-generated or AI-assisted content.
• Creative Control: InterPositive’s tech is designed to support filmmakers rather than replace them, ensuring artistic integrity while reducing costs.
• Strategic Edge: Netflix gains exclusive access to AI filmmaking tools, potentially lowering production timelines and budgets.

Comparison: Netflix vs. Competitors in AI Adoption

Company	AI Strategy	Recent Moves
Netflix	Proprietary AI filmmaking via InterPositive	$600M acquisition of Affleck’s firm
Disney	AI for VFX and crowd simulations	Internal R&D, no major acquisitions
Warner Bros.	Exploring AI for script analysis	Focused on partnerships, not acquisitions
Amazon Prime	AI-driven recommendation & production planning	Heavy investment in predictive analytics

Risks & Challenges

• Creative Backlash: Filmmakers may resist AI involvement, fearing dilution of artistry.
• Regulatory Scrutiny: AI in media raises copyright and labor concerns.
• Execution Risk: InterPositive must hit performance targets for full payout.

What’s Next

• Expect Netflix to integrate AI into original productions by 2027, starting with mid-budget films.
• This move could reshape Hollywood workflows, making AI a standard tool in editing, continuity, and production design.
• Affleck’s dual role as a filmmaker and tech founder positions him as a bridge between creative and technological communities.

Interpositive Profile 

InterPositive is a Los Angeles‑based AI filmmaking startup founded by Ben Affleck in 2022. It focuses on AI tools that assist filmmakers in post‑production, continuity, and creative support. 

Core AI Capabilities

• Continuity Management: Detects inconsistencies in props, lighting, or wardrobe and suggests fixes before editing.
• Scene Optimization: Models cinematic logic to align camera angles, pacing, and transitions with storytelling conventions.
• Automated Corrections: Digitally adjusts lighting, color grading, or minor background elements to maintain realism.
• Production Efficiency: Flags errors early to reduce costly reshoots and accelerate post-production timelines.

Example in Practice

• Day 1: Actor’s coffee cup is half-full.
• Day 2: Cup is suddenly empty in the same sequence.
• AI Fix: Detects mismatch, alerts editor, and either recommends reshoot or digitally adjusts the cup for continuity.

Why Netflix Wants This

• Cost Savings: Reshoots can cost millions; AI fixes are cheaper.
• Scalability: Netflix produces hundreds of originals annually—AI ensures consistency across massive output.
• Creative Support: Affleck emphasizes AI is assistive, not a replacement, keeping directors in control.

Future Outlook

Netflix will roll out AI-assisted workflows first in mid-budget dramas and thrillers. Expansion into big-budget blockbusters is expected, especially for VFX-heavy productions. Affleck’s involvement positions the tech as a filmmaker’s ally, not a threat to artistry.

AI-Generated Film Pulled From the World’s Largest Cinema Chain

AMC Theatres has officially pulled an AI-generated short film, Thanksgiving Day by Igor Alferov, after widespread online backlash.

The world’s largest cinema chain, AMC Theatres, has stepped into the center of a cultural storm after pulling an AI-generated short film from its U.S. screens. The decision followed a wave of online outrage, underscoring the growing tension between artificial intelligence and human creativity in the entertainment industry.

The Film That Sparked Debate

• The short film, Thanksgiving Day by Igor Alferov, won first prize at the Frame Forward AI Animated Film Festival.
• Its reward: a two-week nationwide run in theaters, including AMC, where it would play in the pre-roll advertising segment before feature films.
• Instead of applause, the announcement triggered a backlash. Social media users labeled the film “slop” and “hot garbage,” demanding AMC reconsider.

AMC’s Swift Response

• AMC clarified that the film’s placement came via Screenvision Media, a third-party provider of pre-show content.
• Still, the company announced it would not participate in screening the film, effectively pulling it from all U.S. locations.
• The move reflects AMC’s sensitivity to audience sentiment at a time when theaters are fighting to rebuild trust and loyalty post-pandemic.

Why This Matters Globally

• Cultural Resistance: The incident highlights a growing resistance to AI’s role in creative industries. While AI tools are celebrated for efficiency, audiences remain skeptical of their artistic authenticity.
• Industry Implications: Film festivals and distributors experimenting with AI-generated content now face a credibility challenge.
• Global Debate: From Hollywood to Bollywood, questions loom: Should AI be a creative partner, or does it dilute the human essence of storytelling?

Audience vs. Industry: The Clash

Audience Concerns	Industry Push
Fear of “soulless” art lacking human emotion	AI offers speed, cost savings, and new creative possibilities
Threat to jobs for animators, writers, and filmmakers	Democratization of filmmaking—anyone can create with AI
Distrust of authenticity and originality	Potential for hybrid models: human vision + AI execution

The Bigger Picture

This controversy is not an isolated event. AI-generated clips—like viral fight scenes featuring digital versions of Brad Pitt and Tom Cruise—have already sparked legal and ethical battles. The Motion Picture Association even issued cease-and-desist orders against AI tools producing unauthorized likenesses.

AMC’s retreat signals that audience trust remains paramount. For now, human creativity still holds the stage, while AI waits in the wings.

As of 2025–2026, AMC operates over 11,000 screens worldwide, with around 940 locations in the United States and additional sites internationally.

It surpasses other major chains like Cineworld (UK), Cinépolis (Mexico), and Cinemark (US) in terms of total screens and revenue.

 

Indian Film Restoration Leader Prasad Revives Charles Burnett’s Landmark My Brother’s Wedding in 4K

Prasad, India’s leading film restoration and post-production facility, has completed the full 4K picture remastering and restoration of My Brother’s Wedding, the landmark film by acclaimed filmmaker Charles Burnett. The restored version will be screened at the Berlin International Film Festival under the Forum section, which celebrates films that push the boundaries of cinematic expression.

Originally released in 1983, the film is a low-budget independent tragicomedy set in South Central Los Angeles. It follows the story of a man caught between family expectations and loyalty to a friend, exploring themes of class tension, community dynamics, and personal responsibility. The film is regarded as an important example of socially grounded American independent cinema and has gained renewed critical appreciation following its later restoration and re-edited.

The restoration marks a significant milestone for Indian film preservation on the global stage. Prasad undertook the complete 4K restoration process, including detailed frame-by-frame image repair, colour correction, and digital mastering—carefully preserving the film’s original visual texture, tone, and cinematic intent, while presenting it with renewed clarity for contemporary audiences.

The project was carried out in collaboration with Milestone Films, the UCLA Film & Television Archive, and Kino Lorber, reflecting the international trust placed in Prasad’s restoration expertise and India’s growing role in global film heritage preservation.

We were overjoyed to be in collaboration with Prasad, Deluxe Audio, UCLA Film & Television Archive, Berkeley Art Museum & Pacific Film Archive, and Kino Lorber to bring Charles Burnett’s enduring and timeless film MY BROTHER’S WEDDING back to the world., said, Maya S. Cade, incoming president of Milestone Films.

Abhishek Prasad, Director and CTO, Prasad, added — This restoration was not just about enhancing resolution, it was about preserving cultural memory. Every film carries the spirit of its time, and our responsibility is to ensure that spirit is not lost to ageing reels or obsolete formats. Having this work showcased at Berlin reinforces India’s growing contribution to global film preservation.

Berlin International Film Festival – Screening Details:

• Monday, Feb 16 | 21:00 – Delphi Filmpalast, Berlin
• Sunday, Feb 22 | 16:30 – Cinema Paris, Berlin

The Berlin screening places My Brother’s Wedding alongside a distinguished slate of restored world cinema and underscores the increasing international recognition of Indian film restoration capabilities. With major restoration projects and facilities across India, the US, the UK, Germany, Japan, and Saudi Arabia, Prasad continues to bridge the past and the future of cinema, ensuring classic films are preserved as living works to be experienced by generations to come.

About Prasad:

Prasad is a global leader in film preservation, restoration, and post-production with over six decades of expertise. Founded in 1956 by legendary filmmaker Shri L. V. Prasad, the company has worked on 30,000+ films and is the trusted partner for Hollywood studios, OTT platforms, broadcasters, and national archives worldwide.

With a team of 1,100+ professionals across India, USA, UK, Germany, Japan, and Saudi Arabia, Prasad offers end-to-end digital solutions including 8K film restoration, DI, HDR grading, Dolby Atmos mixing, film and tape digitisation, audio restoration, data migration, media vault management, VFX, and colourisation. Recognised with 20+ National Awards, Prasad continues to safeguard cinematic heritage and transform legacy content into valuable digital assets for the future.

Learn more at: www.prasadcorp.com

Netflix Uses Generative AI for the First Time

Big moment in entertainment tech: Netflix has officially used generative AI to produce final footage in one of its original series for the first time.

The scene appears in The Eternaut, an Argentinian sci-fi show, where a building collapses in Buenos Aires during a toxic snowfall. Instead of traditional VFX, Netflix’s team used AI tools to generate the sequence—completing it 10 times faster and at a fraction of the cost. Co-CEO Ted Sarandos said the creators were “thrilled with the result,” and emphasized that AI is helping make films “better, not just cheaper”.

"That sequence actually is the very first [generative] AI final footage to appear on screen in a Netflix original series or film. So the creators were thrilled with the result," Sarandos said during the company’s second-quarter earnings call.

The Eternaut is officially a Netflix Original. It’s an Argentinian sci-fi series produced by Netflix in collaboration with K&S Films, and it premiered globally on the platform in April 2025.

What makes it especially notable is that it’s the first Netflix Original to feature generative AI in its final footage—used to create a dramatic building collapse scene in Buenos Aires. That sequence was completed 10 times faster than traditional VFX methods, marking a major shift in how Netflix approaches visual production.

Netflix Originals are films, series, documentaries, and specials that are either produced, co-produced, or exclusively distributed by Netflix. They’re branded as “Netflix Originals” even if Netflix didn’t create them from scratch—sometimes the company picks up shows from other networks or international studios and gives them global exposure.

Beyond visuals, Netflix is exploring AI for natural language search and Ad personalization.

Imagine saying “Show me a dark psychological thriller from the ’80s” and getting spot-on recommendations. For Ad personalization, generative AI

could help brands create tailored, cost-effective content.

However, this AI leap isn’t without controversy. The entertainment industry is still grappling with ethical concerns around AI’s impact on jobs and creative ownership—especially after the 2023 Hollywood strikes.

To recall, this year in April, Kannada film director Narasimha Murthy made waves by creating Love You, which is claimed to be the world's first Al-generated feature film.

Filmmakers exploring next-gen tools often ask how generative AI stacks up against traditional CGI. While both “make images with computers,” their pipelines, controls, costs, and creative roles diverge significantly.

CGI (Computer-Generated Imagery), begins with concept art –› 3D modeling –› texturing –› rigging –› lighting –› rendering –› compositing. Each stage demands specialized artists and software (Maya, Houdini, Nuke).

VFX is artist-driven, precision-crafted. Every frame is manually built using tools like Maya, Houdini, or Nuke. It is time-intensive and expensive. Requires large teams and hardware.

While Generative AI, on the other hand, starts with a text or image prompt. It leverages pretrained models (Stable Diffusion, Midjourney, DALL·E) to synthesize visuals in seconds. Gen AI Requires prompt engineering more than manual sculpting.

Kannada Filmmaker Narasimha Murthy Crafts India’s 1st AI-Made Movie

Kannada director Narasimha Murthy has made waves by creating Love You, which is claimed to be the world's first Al-generated feature film. This marks a fascinating shift in filmmaking—AI is now stepping into creative storytelling in ways we’ve never seen before.

The film was crafted using 30 Al tools, with a budget of ₹10 lakh, and took six months to complete. It features Al-generated characters and 12 songs, with Murthy himself writing the dialogues and lyrics.

While the film is a groundbreaking experiment, Murthy acknowledged some challenges, such as inconsistencies in character features and difficulties in lip-syncing. The Central Board of Film Certification (CBFC) has granted it a U/A certificate, making it the first Al-generated film approved for theatrical release in India.

A priest named Narasimha Murthy from Siddehalli village near Bengaluru created the first AI generated Kannada film titled Love You.

The 95 minute film was made with a budget of 10 lakh rupees and took six months to complete.

Murthy worked with Nuthan, a graphic designer turned… pic.twitter.com/UeCYYhAQCH

— Daily Updates (@dailyupdates04) April 23, 2025

Narasimha Murthy faced several challenges while creating Love You, the world's first Al-generated feature film. One of the key hurdles is Character Consistency Issues where in maintaining uniform facial features for Al-generated characters throughout the film proved difficult. At times, characters appeared slightly different in different frames.

Lip-Syncing Difficulties is also one of the challenges. Matching Al-generated animations to dialogue was a tough challenge, as the lip movements didn't always align perfectly with spoken words.

Rendering Time & Computational Power was another challenge. Processing Al-generated visuals required substantial computational resources, making the production time-consuming despite its relatively low budget.

Creative Control vs Al Limitations also existed in the film made. While Al provided innovative outputs, Murthy had to manually adjust dialogues, lyrics, and character interactions to ensure coherence and emotional depth.

Despite these challenges, he successfully completed the film within six months using around 30 AI tools. It’s fascinating to see AI pushing the boundaries of storytelling.