Netflix Says AI Touched About 300 Titles, Mostly Behind the Scenes

Netflix disclosed in its second-quarter earnings report, released Thursday, that roughly 300 titles on the platform have used generative AI, with most of that work happening in post-production rather than during filming. It's the company's most specific public accounting yet of how deeply the technology has worked its way into its content pipeline.

In its letter to shareholders, Netflix said it's "increasingly leveraging these tools to deliver higher quality output more quickly and at a lower cost." That's a notably candid line for a company whose creative decisions are watched closely by actors, writers, and visual effects artists still wary of AI's role in Hollywood after the labor disputes of recent years.

Netflix named a handful of titles as examples: Glory, Brasil 70: A Saga do Tri, and The American Experiment. According to the company, these productions used generative AI to build out what it called highly complex sequences, including enhanced crowds, historical battle scenes, and worldbuilding establishing shots. That kind of work, generating thousands of background extras or sweeping landscape shots, has traditionally required expensive visual effects labor and long turnaround times.

This isn't the first time Netflix has talked publicly about using the technology on screen. Co-CEO Ted Sarandos said last year that the sci-fi series The Eternaut used generative AI to build a scene, citing speed and cost savings as the reasons.

A bigger AI bet

The 300-title disclosure lands alongside a broader pattern of Netflix investment in AI tools. The company has acquired an AI startup founded by Ben Affleck and launched its own AI animation studio, moves that signal it sees generative tools as core infrastructure rather than a one-off experiment. Perhaps the most attention-grabbing example: Netflix is using an AI-generated voice of Gene Wilder for its new reality show Wonka's The Golden Ticket, reviving the late actor's voice for the project.

Taken together, these moves suggest Netflix isn't treating AI as confined to background effects work. It's testing the technology across production, voice work, and animation, areas that touch far more visible parts of the creative process than a crowd scene in a war film.

The business behind it

The AI disclosures came packaged inside a strong quarter. Netflix reported $12.56 billion in revenue and said it remains on track to double its advertising revenue to $3 billion. That ad business has become an increasingly important growth lever as the core subscription business matures in its most established markets.

Netflix also used the earnings letter to push back on renewed concerns about viewer engagement. Those concerns followed a Bloomberg report suggesting the company is having trouble holding on to audiences for second seasons of its shows, a pattern that would be a warning sign for a business built on recurring engagement rather than one-off viewing.

Netflix's response leaned on a broader definition of what counts as success. "Time spent is just one aspect of strong engagement," the company said, adding that "quality and variety also matter." As supporting evidence, Netflix pointed to its latest What We Watched report, which showed subscribers logged more than 97 billion hours of viewing, up 2 percent year over year.

Notably, Netflix also announced it's scaling back how often it publishes that viewing report, moving from twice a year to just once. The company didn't frame this as a response to scrutiny over engagement numbers, but the timing, alongside pushback on the Bloomberg report, is hard to ignore.

Chasing YouTube's audience

The AI and engagement disclosures both fit into a larger story: Netflix is reshaping what kind of content lives on its platform to compete with free, ad-supported services like YouTube. Over the past year, the company has rolled out video podcasts and TikTok-style short clips, both formats borrowed directly from the platforms eating into viewers' attention spans. Most recently, Netflix announced plans to stream video content from digital media brands such as BuzzFeed, the kind of programming that has historically lived almost exclusively on YouTube.

Earlier this month, The Wall Street Journal reported that Netflix is also weighing the addition of always-on channels, a format that would move the service even closer to something resembling traditional linear TV, just delivered over the internet.

None of these moves happen in isolation. A streaming giant that once built its identity on prestige scripted series is now experimenting with cheaper, faster ways to produce content, whether that means AI-assisted crowd scenes, an AI-voiced Gene Wilder, or short-form clips designed to compete with creator-driven platforms. The 300-title AI figure is a small data point in a much larger repositioning, one where speed and cost increasingly sit alongside prestige as measures of what makes it onto the platform.

What happens next will likely hinge on how visible AI's role becomes to viewers, and whether "enhanced crowds" and digitally revived voices stay confined to supporting roles or start creeping toward the center of the frame.