Netflix used gen-AI in 300 titles: co-CEO says it will enhance creators’ abilities

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Netflix says it has quietly woven generative AI into hundreds of projects, and company leaders say the technology is already reshaping how scenes are created, enhanced and budgeted. The revelation marks a move from experimentation to practical use, with executives pointing to faster production times and new creative possibilities.

Company disclosure: generative AI now in 300 Netflix titles

During its Q2 earnings materials and shareholder letter, Netflix confirmed that generative AI tools were used across roughly 300 titles. The company described uses ranging from early-stage creative planning to finishing touches in post-production.

Co-CEO Ted Sarandos expanded on the disclosure during the earnings call. He said AI has become part of both planning and polishing workflows for a wide array of shows and films.

AI’s visible footprint: the case of The American Experiment

Netflix singled out the recent docuseries The American Experiment as an example. Sarandos said about 17 minutes of the series include footage enhanced by AI tools.

What that enhancement meant in practice

  • Certain shots were generated or augmented to create scenes that would otherwise be costly.
  • Those 17 minutes, Sarandos noted, were produced faster and cheaper than prior methods.
  • The company said the AI-enabled segments were completed roughly twice as fast and at about half the cost compared to older approaches.

How filmmakers are using AI on set and in post

Netflix outlined several concrete uses for AI across productions. The company framed these tools as extensions of existing workflows.

  • Pre-visualization and scene planning to test ideas quickly.
  • VFX work and post-production enhancements that improve footage.
  • Reference assets for sets and digital doubles.
  • Augmenting crowd scenes or reenacted battle sequences.

Sarandos argued that some sequences would have been omitted without AI because of cost or time limits. In his view, the tech has enabled productions to include moments they otherwise could not afford.

Budget impacts: savings, reinvestment and the $20B content plan

Netflix faces a massive content budget. Investors and analysts asked whether AI savings could affect that spending.

Sarandos indicated the answer was yes. Shorter timelines and improved quality can create cost savings. Netflix plans to funnel those gains back into programming to boost engagement.

He positioned AI savings as a way to increase content output and strengthen the company’s revenue and profit cycle tied to member engagement.

InterPositive, partnerships and the broader toolset

This shift comes after Netflix acquired Ben Affleck’s InterPositive AI firm earlier this year. Sarandos said InterPositive is still in early stages at the company.

However, the AI-powered scenes in many recent projects were produced with a mix of tools, not solely via InterPositive. Netflix described the technologies as complementary and “working together” to push creative innovation.

The shareholder letter named additional shows that used AI, including Glory (India) and Brasil 70: A Saga do Tri (Brazil).

Wider industry context and controversies

Other studios are also experimenting. Amazon and others have acknowledged AI usage in some productions. The industry has seen both technical enthusiasm and public pushback.

  • Some studios faced backlash when shows were created with heavy AI involvement.
  • Critics worry about creative authorship and the impact on artists and crew.

Separately, former Netflix CEO Reed Hastings joined the board of Anthropic, highlighting growing ties between streaming executives and AI companies.

Creative control and artistic concerns

Sarandos stressed that AI is a tool, not a replacement for filmmakers. He said human artists still drive creative decisions and that AI should empower them.

Executives maintain that making great movies and shows still depends on human talent. The company described AI as a means to expand what those artists can achieve within time and budget limits.

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