Netflix dropped its second-quarter earnings on Thursday and the financial results were close enough to analyst expectations that they almost do not matter as the lead story. Revenue came in at $12.56 billion, up 13.4 percent year over year. Net income was $3.4 billion, translating to 80 cents per share against the 79 cents Wall Street projected. The numbers were fine. What got people talking was the other disclosure buried in the shareholder letter.
Roughly 300 Netflix programs have used generative AI somewhere in their production process so far in 2026.
That figure covers the full range of what production involves, from concept development and pre-visualization through post-production and release. It is not limited to visual effects work or CGI enhancement. Netflix is describing a technology that is now embedded across the entire production pipeline on a significant portion of its active slate, per Variety.
The scale of that number is the story. Three hundred programs is not a test. It is a standard.
What the AI Is Doing on These Shows
Netflix gave three specific examples to illustrate how generative AI is being deployed in practice. The Indian sports thriller series Glory, the Brazilian soccer miniseries Brasil 70: A Saga do Tri, and the American Revolution docuseries The American Experiment each used the technology to create what Netflix described as “highly complex sequences,” including enhanced crowd sizes and battle sequences.
The American Experiment example is the most detailed. Netflix co-CEO Ted Sarandos said on the earnings call that 17 minutes of AI-enhanced footage in the series “expanded the scope of the series that just wouldn't have been feasible before” and that those sequences were produced “twice as fast and at half the cost of previous options.”
Netflix made a broader claim in its shareholder letter that goes further than efficiency arguments: “In some cases, productions would have had to leave out key shots and sequences in the absence of GenAI technology.”
That is a meaningful distinction. The company is not primarily arguing that AI makes existing work cheaper. It is arguing that AI makes certain work possible at all.
“We are increasingly leveraging these tools to deliver higher-quality output more quickly and at a lower cost than traditional methods,” the company added.
How Sarandos Is Framing This
“We believe it takes great artists to make something great, and AI is not changing that,” he said. “Movies are being made by people who make movies. AI provides them with better tools to make them even better.”
He has been consistent on this point across multiple public appearances. In March, speaking to Politico, he described AI as something that “should be a creator tool,” comparable to other production technologies that have evolved over time. The framing is deliberate: AI as an instrument in the hands of creative professionals rather than a substitute for them.
But he also introduced a qualifier that applies pressure to that framing. “I don't think faster and cheaper matters if it's not better,” he told Politico. Speed and cost savings only justify themselves if quality rises alongside them. That is a bar Netflix is implicitly claiming it has cleared with these 300 programs.
The InterPositive acquisition, the company founded by Ben Affleck that Netflix purchased in March, gives practical texture to what Sarandos means when he talks about AI as a creator tool. He described its purpose specifically: “Using their own dailies, using their own production materials to make the film that they're making better. Still requires writers and actors and lighting techs and all the things that you'd use to make a movie, but be able to make the movie more effective, more efficient.”
The InterPositive deal is still in its “early days” according to Sarandos, but he said the company has already seen its impact on productions alongside other in-house AI tools. “I do think that AI, particularly InterPositive, the company we bought from Ben [Affleck], will help creators make things better,” he added.
What 300 Programs Actually Means for the Industry
Netflix is not the only entertainment company experimenting with generative AI in production. But disclosing 300 programs in a single earnings period establishes a scale that moves the conversation. This is not a studio quietly testing a tool on one project. It is a company reporting that nearly a third of its active content slate has touched the technology in some way this year.
Netflix has already been using AI elsewhere in its business, including its title recommendation system, its advertising business, and an AI animation studio it has been building internally. The Q2 disclosure adds the content production side to that list, which means AI is now embedded across multiple layers of the company simultaneously.
The competitive pressure that follows from that scale is real. Streaming economics are relentlessly focused on efficiency, and if Netflix can genuinely produce complex sequences at half the traditional cost while maintaining quality, the incentive for other studios and streamers to follow is significant. The technology that felt like a future concern for the creative labor community is now operating at scale inside the industry's largest content producer.
Sarandos's consistent public position, that great artists remain essential and AI only makes their work better, is the framing Netflix needs its employees, its creative partners, and its audience to accept. Whether that framing holds as adoption deepens and competitive pressure pushes toward more aggressive cost reduction is the longer story the industry is still in the early chapters of writing.
Have you watched any of the Netflix titles named in the disclosure? Glory, Brasil 70: A Saga do Tri, and The American Experiment are all on the platform now. If you watched any of them and noticed something that felt different, or if you had no idea AI was involved until reading this, drop a comment. And if you have thoughts on where Netflix's approach to this technology sits on the spectrum between responsible adoption and something more concerning, that conversation is worth having here.
