AI Cuts Doug Liman’s Bitcoin Movie Budget From $300M to $70M

• Liman’s Bitcoin movie wrapped principal photography after 20 days on a gray-box soundstage in West London.
• Producers used AI to generate all 200 locations, cutting the budget from over $300 million to $70 million.
• The Bitcoin movie is in 30 weeks of post-production with 55 AI artists and could find buyers at Cannes in May.

On April 15, 2026, TheWrap reported on its set visit to Doug Liman’s $70M film ‘Bitcoin: Killing Satoshi,’ which uses artificial intelligence (AI) to generate backgrounds, sets, and lighting, starring Casey Affleck, Gal Gadot, Pete Davidson, and Isla Fisher.

The production retains traditional wardrobe and props teams alongside 107 cast members, 100 shoot crew, and 54 non-shoot crew, with producers saying the movie would have cost $300M if produced traditionally.

AI Wraps 20 Day Liman’s Bitcoin Movie Shoot

Principal photography on Doug Liman’s AI-driven movie Bitcoin: Killing Satoshi wrapped after just 20 days of shooting in London last month. The entire production took place inside a custom-built “gray box” soundstage, a former car showroom wrapped in gray screen, with the filmmakers using no real-world locations throughout the shoot.

Producers from Acme AI and FX used AI to generate backgrounds, sets, and lighting in post-production. The film stars Casey Affleck as computer scientist Craig Wright, alongside Gal Gadot, Pete Davidson, and Isla Fisher. The film explores the controversial claim over Bitcoin’s (BTC) creation, unfolding amid global conspiracy and escalating danger as competing forces pursue the truth behind its mysterious origins.

How AI Cut the Budget From $300M to $70M

Producers say they slashed the budget from over $300M to $70M by using artificial intelligence to generate backgrounds, sets, and lighting, rather than filming at 200 real locations worldwide. The globe-trotting thriller would have required shoots in Antarctica, Antigua, and Las Vegas, with costs described as “unproducible” under a traditional filmmaking approach.

Producer Ryan Kavanaugh explained that the team budgeted the film practically first and realized AI tools could deliver 100% photo-realistic results at a fraction of the cost. Traditional wardrobe and props departments remained, along with 107 cast members, 100 shoot crew, and 54 non-shoot crew. 

By shooting everything at a single converted car showroom location, the production eliminated travel, multiple set builds, and extensive lighting crews. AI tools combined to capture actor performances with generated environments, while preserving human creative control at every step.

What’s the Impact of AI on Film Production?

The production is now in 30 weeks of post-production involving 55 AI artists. Director Liman and the team stress that AI serves as a tool to enhance creativity and cut impractical expenses, not replace actors or core performances. The ambitious independent feature could be shopped by buyers at the Cannes Film Festival in May 2026.

Industry projections show the global AI market for filmmaking growing rapidly from around $3B in 2024 to $11–23B by 2030–2033, driven by 40–60% efficiency gains in areas like VFX and virtual production. Major studios and markets, such as Hong Kong’s Filmart, are integrating these systems into everyday workflows amid ongoing concerns about jobs, ethics, consent, and audience acceptance.

Therefore, this hybrid model demonstrates AI’s potential to make previously “unproducible” large-scale stories financially viable and could pave the way for faster, cheaper production of complex stories while sparking debate about AI’s long-term effects on Hollywood jobs, creativity, and the future of location-based filmmaking.

Related: Internet Computer Prediction 2026: Mission70 Cuts Inflation 70% and AI Integration Target 8-12%