The Verge57%

Netflix says around 300 titles used generative AI 73%

By Emma Roth49%

7/16/2026, 8:29:27 PM

BS Summary: This article contains 18 faulty reasoning types, including Post Hoc (False Cause), Recency Bias, and Confirmation Bias, with Appeal to Authority as the most egregious example at 31.7% saturation with 142 hits. Analysis detected 774 faulty-reasoning hits from 448 analyzed words, generating a BS Score of 65.6% and a BS Rank of 73% (4,657 of 16,792 articles). This article is worse (more manipulative) than 72.30% of the article peer group.

Netflix says roughly 300 titles on its platform used generative AI, most of which occurred in post-production. 
The streaming service revealed the news in its second-quarter earnings report released on Thursday, saying it’s “increasingly leveraging these tools to deliver higher quality output more quickly and at a lower cost.” 
It also provided some examples of titles that used AI, including The American Experiment, Glory, and Brasil 70: A Saga do Tri. 
These shows used the technology to “create highly complex sequences,” including “enhanced crowds, historical battle sequences, and worldbuilding establishing shots.” 
During Netflix’s call with investors, co-CEO Ted Sarandos said The American Experiment docuseries includes 17 minutes of “AI-enhanced footage,” which “were produced twice as fast and at half the cost of previous options.” 
“In many of the cases, productions would have left out those key shots because they just wouldn’t have been able to afford them,” Sarandos added. 
“They wouldn’t have been able to do them in the timeframes that they’re working on.” 
Sarandos similarly said last year that AI was used to create a scene in the sci-fi series The Eternaut to save time and cut costs. 
The streaming giant has begun to invest more heavily in AI as the technology becomes more advanced, with Netflix acquiring Ben Affleck’s AI startup and creating an AI animation studio. 
The service is also using the AI-generated voice of Gene Wilder in its new Wonka’s The Golden Ticket reality show. 
Netflix reported earning $12.56 billion over the past few months, and says it’s still on track to double its ad revenue to $3 billion. 
In its letter to shareholders, Netflix also addressed some concerns about engagement, which came up after a report from Bloomberg revealed that the streaming giant is struggling to keep viewers around for the second season of its shows. 
The service says “time spent is just one aspect of strong engagement,” adding that “quality and variety also matter.” 
It also highlights that its latest What We Watched report shows that subscribers watched over 97 billion hours, up 2 percent year over year. 
The company also announced that it will now switch to publishing this report just once per year, instead of twice. 
Netflix has started to introduce new types of content in a bid to compete with free-to-watch services like YouTube. 
In the past year, Netflix has rolled out video podcasts, TikTok-style clips, and most recently announced plans to stream videos created by digital media brands, like BuzzFeed, which would typically appear on YouTube. 
Earlier this month, The Wall Street Journal reported that Netflix is considering adding always-on channels. 
Update, July 16th: Added information from Netflix’s earnings call. 
Confirmation Bias
12.7%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
8.5%
Loss Aversion
0%
Status Quo Bias
4.5%
Sunk Cost Effect
6.7%
Optimism Bias
12.5%
Pessimism Bias
5.6%
Negativity Bias
8.5%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
4.5%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
12.9%
Primacy Effect
5.4%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
31.7%
False Dilemma
4.2%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
7.4%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
21.2%
Tu Quoque
0%
Burden of Proof
8.9%
Appeal to Nature
0%
Composition/Division
5.4%
Anecdotal
4.9%
No True Scotsman
0%
Ambiguity (Equivocation)
7.4%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
0%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

448 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.