Netflix using AI in 300 productions, mostly post-production work

Netflix Co-CEO Ted Sarandos disclosed during the company's latest earnings call that AI is now part of approximately 300 productions, predominantly in post-production workflows. The technology accelerates multiple stages of the pipeline, from initial concept development and previsualization through final delivery. One concrete example is the docuseries "The American Experiment," which incorporates 17 minutes of AI-assisted footage. According to Sarandos, this footage was produced twice as fast at half the cost compared to traditional methods.

Sarandos framed AI as an amplifier of creative capability rather than a replacement for human artistry. He stated that the cost savings "likely" redirect toward expanded content production rather than reducing Netflix's $20 billion（約3.2兆円） budget. "It takes great artists to make something great, and AI is not changing that," he said. "AI will give creatives better tools to bring their visions to life." Beyond its proprietary Interpositive tool, Netflix also employs Eyeline and operates its own animation lab.

The practical applications Netflix highlights underscore AI's role in overcoming production constraints. Crowd scenes and historical battle sequences—elements that would previously have been cut due to budget or scheduling pressures—can now be expanded or included with AI assistance. This capability reframes production decisions from "can we afford this?" to "what does the creative vision require?"

Netflix's transparent rollout contrasts with broader industry practice. Simpsons producer Joel Kuwahara observed that many studios use AI tools quietly behind the scenes, citing a "don't ask, don't tell" cultural approach. This includes tools like ByteDance's video model Seedance, which has drawn official criticism even as studios employ it discreetly. The gap between Netflix's public integration strategy and the industry's more cautious public positioning suggests unresolved tensions around labor impact, creative attribution, and acceptable use remain despite accelerating adoption.

Netflix's deployment of AI across 300 productions marks a significant inflection point in how the entertainment industry is adopting the technology. While the company frames AI as a tool that enhances creative vision rather than replaces artists—Sarandos emphasized that "it takes great artists to make something great"—the scale of adoption and the efficiency gains reported suggest a fundamental shift in production economics. The cost and speed improvements demonstrated by "The American Experiment" (half the cost, twice the speed for 17 minutes of footage) show that AI can unlock production possibilities that budget constraints previously eliminated, such as expanded crowd scenes and historical sequences.

The broader industry dynamic appears more complex than Netflix's optimistic framing. Producer Joel Kuwahara's observation that studios follow a "don't ask, don't tell" approach regarding AI tools like ByteDance's Seedance suggests that adoption is outpacing public acknowledgment and policy clarification. This gap between behind-the-scenes usage and public positioning—alongside continued creative pushback—indicates the industry is navigating unresolved questions about labor, credit, and artistic control even as AI integration accelerates.