Netflix discloses generative AI use across 300 titles in 2026
Second-quarter shareholder letter reveals majority of applications occurred during post-production, with specific examples from India, Brazil, and the US.
Netflix has confirmed that generative artificial intelligence workflows were utilised in approximately 300 of its titles during 2026. The disclosure was made in the company’s second-quarter shareholder letter, which detailed the scale of its technological integration across its content library. The streaming service noted that the largest concentration of these AI applications occurred during the post-production phase, marking a significant expansion from previous years.
The company identified three specific projects as examples where AI was employed to create highly complex sequences. These titles include Glory, produced in India; Brasil 70: A Saga do Tri from Brazil; and The American Experiment from the United States. Netflix stated that these productions leveraged the technology to generate intricate visual elements, such as enhanced crowds and historical battle scenes, which would traditionally require extensive manual labour.
In the letter, Netflix outlined its strategic rationale for adopting these tools, stating that it is increasingly leveraging generative AI to deliver higher quality output more quickly and at a lower cost than traditional methods. This approach aligns with the company’s broader strategy of expanding its technological capabilities through acquisitions and the launch of new specialised studios, aiming to optimise production efficiency.
This disclosure follows earlier admissions from July of the previous year, when co-CEO Ted Sarandos acknowledged the use of AI in at least one original show. The current figures suggest a rapid scaling of these efforts, with the technology becoming more widespread across the platform’s slate. The company’s emphasis on speed and cost reduction highlights the growing pressure on production budgets to maintain output volumes while managing expenses.
While the technology accelerates tasks traditionally performed by visual effects artists and animators, the industry continues to debate the balance between augmentation and replacement of skilled creators. Human oversight remains necessary to ensure that AI-generated results integrate effectively with the rest of the production, a nuance that underscores the ongoing evolution of digital filmmaking workflows.
