An inside look at how Netflix's use of data led to generic “algorithm films” intended for broad appeal, with AI set to further entrench the production style
When the streaming giant began making films guided by data that aimed to please a vast audience, the results were often generic, forgettable, artless affairs.
The GuardianPhil Hoad
Context & Ripple Effects
Netflix’s creative organization has long balanced a data-driven technology function against Hollywood’s relationship-led production culture, a tension documented in the earlier clash between its tech and Hollywood teams. The company’s later push toward audience appeal and cost efficiency under its film leadership provides the immediate strategic backdrop.
The story also precedes evidence that generative AI is moving into Netflix’s production workflow: the company later said about 300 titles used it, largely in post-production, to improve output and lower costs as AI use spread across its titles.
First-order effects
Netflix’s reliance on audience and performance signals can favor projects with broadly legible attributes, while making distinctive creative bets harder to justify within the same decision framework.
AI’s expected expansion gives that production logic another operational layer: more of the work can be standardized around speed, cost, and repeatable output rather than only commissioning choices.
Second-order effects
Other streaming studios face pressure to pair audience analytics with AI-enabled production workflows, particularly where cost efficiency is already a stated film-strategy priority in Netflix’s shift toward audience appeal and efficiency.
Creators and production partners may encounter stronger demand for formats and post-production choices that are easier to test, measure, and replicate, potentially narrowing the range of projects favored by platform economics.
Third-order effects
If this pattern persists, streaming competition could increasingly be defined by the ability to turn audience data into a repeatable content-production system—not solely by individual films or talent relationships.
The central industry trade-off will sharpen: AI can lower production friction, but a common optimization model may make catalogues less differentiated unless platforms deliberately preserve room for creative variance.
The trend: Streaming platforms are integrating audience analytics and workflow-native AI into a more industrialized model of content development and production.
Netflix's algorithm has become a mirror of the zeitgeist: pushing the mainstream until everything feels the same. Similarly, Spotify's curation leans toward the already popular. Discovery gives way to homogenization—flattening culture instead of expanding it.
My theory why Elio and bad guys had a hard time vs KPop Demon Hunters. Kids don't turn on Netflix or go to a movie unless they see people talking about it on YouTube. People posting on YouTube are in their 20's, so animated films need to appeal to 20 year olds first.
If you love cinema and quality television, this is an essential read. And don't be put off by the headline, there are some silver linings amid the algorithmic gloom. A brilliant read in any case. Cap doffed to @phlode — easiest follow of the day. https://www.theguardian.com/ ...
When the streaming giant began making films guided by data that aimed to please a vast audience, the results were often generic, forgettable, artless affairs. https://www.theguardian.com/ ...
There's a reason why films like K-Pop Demon Hunters is now the most-watched film on the Netflix (hint: it's not about K-pop). It's about what resonates with audiences (and fans!) in the end. www.theguardian.com/media/2025/ a...
When we had to go out for most of our movies, there was effort involved, and so we thought twice about what we watched. Now we don't. And we're all watching completely fine but totally meh movies all the time now. To paraphrase an old beer commercial: Tastes meh, less filling.
When Netflix began making films guided by data that aimed to please a vast audience, the results were often generic, forgettable, artless affairs — One more reason why not to subscribe to these streaming giants — www.theguardian.com/media/2025/ a...