Netflix has revealed that generative artificial intelligence was used in roughly 300 of its titles over the past year, a disclosure that offers a rare glimpse of how deeply the technology has already worked its way into mainstream entertainment.
The company shared the figure alongside its latest quarterly results, saying the tools were used above all in post-production, the stage after filming where visual effects, touch-ups and complex shots are created. Netflix framed the technology as a way to do work faster and more cheaply, and to make effects possible on productions that could not otherwise afford them.
The company's case
Executives have pointed to specific examples to illustrate the appeal. Netflix has previously cited a sequence in one of its series in which AI was used to help create a dramatic building collapse, work the company said would have been prohibitively expensive and slow with traditional methods. In that telling, generative AI is a tool that expands what smaller productions can attempt, rather than a replacement for human artistry.
The disclosure came with a set of solid financial results. Netflix reported second-quarter revenue of about $12.6 billion, up roughly 13% on a year earlier, with a healthy operating margin, and reaffirmed its guidance for the full year. Strong profits give the company room to press ahead with its technology investments.
The workers' worries
For many in the industry, though, the news lands very differently. Fear of exactly this kind of automation helped drive the 2023 strikes by Hollywood's writers and actors, the first time in decades that both unions walked out at once. At the heart of their concerns was AI: whether it would be used to replace human labour, and whether performers' and writers' work could be fed into AI systems without consent or payment.
Those disputes produced new contract protections, but many workers regard them as incomplete, and the rapid spread of the technology since has kept anxieties high. Visual-effects and post-production staff, whose work is closest to what generative tools now do, feel particularly exposed, as do the many artists in lower-cost hubs outside the United States who handle painstaking effects work.
Critics argue that "efficiency" can be a euphemism for cutting jobs, and that studios stand to capture the savings while the human cost falls on those with the least bargaining power. Supporters counter that new technologies have repeatedly reshaped filmmaking without ending it, and that AI may create work as well as displace it.
An unsettled question
Netflix did not say which titles used the technology, or in what way, and much about the industry's direction remains unclear. What is evident is the scale: a figure of 300 titles in a single year, from one company, signals that generative AI is no longer an experiment at the edges of production but a routine part of how at least some big-budget entertainment now gets made.
How that settles, whether AI becomes a widely accepted tool like the computer effects before it, or a fault line in a fresh round of labour conflict, is likely to be one of the defining questions for the business in the years ahead. For now, Netflix's disclosure has put a striking number on a shift that audiences, watching the finished results, may never notice at all.
