Kotaku73%

Netflix Brags That AI Tools Were Used In Around 300 Of Its Shows And Movies In 2026 So Far 34%

By Zack Zwiezen74%

7/16/2026, 10:05:12 PM

BS Summary: This article contains 15 faulty reasoning types, including Biased Writer Voice, Personal Incredulity, and Attempt to Sell a Product or Service, with Negativity Bias as the most egregious example at 29.5% saturation with 120 hits. Analysis detected 648 faulty-reasoning hits from 407 analyzed words, generating a BS Score of 42% and a BS Rank of 34% (14,506 of 21,886 articles). This article is better (less manipulative) than 66.30% of the article peer group.

As part of Netflix’s second-quarter earnings report, the streamer announced that it was integrating generative AI into more of its productions, claiming that AI has been used in roughly 300 Netflix shows and movies in 2026 so far. 
On Thursday, Netflix shared a letter with its shareholders filled with information about how well the company was doing, how much money it was making, and so forth. 
It also dedicated a whole section of the letter to bragging about how Netflix is “increasingly” using AI tools in the production of shows and movies, like *The American Experiment* and *Brasil 70: A Saga do Tri. 
* The company seems super excited about how these genAI tools will let it produce more content faster and cheaper than ever before. 
Yay, more slop! 
“We are increasingly leveraging these tools to deliver higher quality output more quickly and at a lower cost than traditional methods,” said Netflix in the shareholder letter. 
“In some cases, productions would have had to leave out key shots and sequences in the absence of GenAI technology.” 
Netflix says that AI is now fully integrated into many different projects and is used from the concept stage, through pre-visualization, filming, and post-production. 
The company says genAI is mostly used in post-production across the 300 or so shows and movies using it in 2026. 
Netflix says that in shows like *The American Experiment*, genAI tools “enhanced crowds, historical battle sequences, and worldbuilding establishing shots.” 
It also claims that “in some cases, productions would have had to leave out key shots and sequences in the absence of GenAI technology.” 
I’m not sure if it means this is because the shots were literally impossible without AI (doubtful) or because they would have cost too much and Netflix is in penny-pinching mode (believable). 
Either way, it’s clear that Netflix is fully embracing AI to help it pump out more slop to keep subscribers paying more and more each month. 
AI is also working its way into the app itself, with Netflix explaining that it will use LLMs and AI to “improve title discovery” and “better understand member preferences.” 
The company also claims AI will make search better, too. 
What can’t AI do? 
Well, be a profitable technology that actually provides accurate and consistent results without destructive data centers powering it all, for one thing. 
Article reasoning-pattern comparisonThis article: 0.0%Zack Zwiezen: 4.8%Kotaku: 4.4%Confirmation Bias0.0%This article: 0.0%Zack Zwiezen: 3.8%Kotaku: 1.6%Anchoring Bias0.0%This article: 0.0%Zack Zwiezen: 5.4%Kotaku: 4.0%Availability Heuristic0.0%This article: 0.0%Zack Zwiezen: 0.8%Kotaku: 1.1%Representativeness Heuristic0.0%This article: 0.0%Zack Zwiezen: 1.1%Kotaku: 1.0%Hindsight Bias0.0%This article: 0.0%Zack Zwiezen: 1.8%Kotaku: 1.7%Overconfidence Bias0.0%This article: 0.0%Zack Zwiezen: 4.7%Kotaku: 5.8%Framing Effect0.0%This article: 0.0%Zack Zwiezen: 1.8%Kotaku: 1.1%Loss Aversion0.0%This article: 0.0%Zack Zwiezen: 1.3%Kotaku: 1.1%Status Quo Bias0.0%This article: 0.0%Zack Zwiezen: 0.5%Kotaku: 0.4%Sunk Cost Effect0.0%This article: 6.6%Zack Zwiezen: 2.1%Kotaku: 2.9%Optimism Bias6.6%This article: 7.9%Zack Zwiezen: 4.5%Kotaku: 3.4%Pessimism Bias7.9%This article: 29.5%Zack Zwiezen: 13.7%Kotaku: 13.5%Negativity Bias29.5%This article: 0.0%Zack Zwiezen: 1.9%Kotaku: 2.0%Self-Serving Bias0.0%This article: 0.0%Zack Zwiezen: 2.1%Kotaku: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Zack Zwiezen: 0.3%Kotaku: 0.3%Actor-Observer Bias0.0%This article: 0.0%Zack Zwiezen: 0.3%Kotaku: 1.3%In-Group Bias0.0%This article: 0.0%Zack Zwiezen: 0.1%Kotaku: 0.3%Out-Group Homogeneity Bias0.0%This article: 4.9%Zack Zwiezen: 2.2%Kotaku: 3.6%Halo Effect4.9%This article: 0.0%Zack Zwiezen: 0.1%Kotaku: 0.3%Horn Effect0.0%This article: 0.0%Zack Zwiezen: 0.0%Kotaku: 0.1%Dunning-Kruger Effect0.0%This article: 0.0%Zack Zwiezen: 2.9%Kotaku: 2.4%Recency Bias0.0%This article: 0.0%Zack Zwiezen: 0.6%Kotaku: 0.6%Primacy Effect0.0%This article: 0.0%Zack Zwiezen: 0.1%Kotaku: 0.0%Blind-Spot Bias0.0%This article: 0.0%Zack Zwiezen: 0.7%Kotaku: 1.3%Ad Hominem0.0%This article: 0.0%Zack Zwiezen: 0.4%Kotaku: 0.6%Straw Man0.0%This article: 9.6%Zack Zwiezen: 2.0%Kotaku: 2.6%Appeal to Authority9.6%This article: 7.9%Zack Zwiezen: 2.9%Kotaku: 2.3%False Dilemma7.9%This article: 6.4%Zack Zwiezen: 1.2%Kotaku: 1.0%Slippery Slope6.4%This article: 0.0%Zack Zwiezen: 0.1%Kotaku: 0.2%Circular Reasoning0.0%This article: 0.0%Zack Zwiezen: 13.7%Kotaku: 9.4%Hasty Generalization0.0%This article: 0.0%Zack Zwiezen: 0.3%Kotaku: 0.3%Red Herring0.0%This article: 0.0%Zack Zwiezen: 1.5%Kotaku: 1.1%Bandwagon0.0%This article: 1.7%Zack Zwiezen: 5.2%Kotaku: 5.8%Appeal to Emotion1.7%This article: 5.4%Zack Zwiezen: 0.6%Kotaku: 0.9%Begging the Question5.4%This article: 0.0%Zack Zwiezen: 3.0%Kotaku: 2.4%Post Hoc (False Cause)0.0%This article: 0.0%Zack Zwiezen: 0.2%Kotaku: 0.3%Tu Quoque0.0%This article: 10.8%Zack Zwiezen: 0.9%Kotaku: 0.7%Burden of Proof10.8%This article: 0.0%Zack Zwiezen: 0.0%Kotaku: 0.2%Appeal to Nature0.0%This article: 0.0%Zack Zwiezen: 0.6%Kotaku: 0.5%Composition/Division0.0%This article: 0.0%Zack Zwiezen: 9.1%Kotaku: 4.3%Anecdotal0.0%This article: 0.0%Zack Zwiezen: 0.1%Kotaku: 0.1%No True Scotsman0.0%This article: 5.9%Zack Zwiezen: 2.0%Kotaku: 2.0%Ambiguity (Equivocation)5.9%This article: 0.0%Zack Zwiezen: 0.0%Kotaku: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Zack Zwiezen: 0.1%Kotaku: 0.1%Middle Ground0.0%This article: 13.3%Zack Zwiezen: 0.6%Kotaku: 0.5%Personal Incredulity13.3%This article: 0.0%Zack Zwiezen: 0.2%Kotaku: 0.2%Special Pleading0.0%This article: 0.0%Zack Zwiezen: 0.4%Kotaku: 0.1%Genetic Fallacy0.0%This article: 11.5%Zack Zwiezen: 2.0%Kotaku: 2.8%Unattributed Quote11.5%This article: 0.0%Zack Zwiezen: 1.5%Kotaku: 1.6%Quote-first Misdirection0.0%This article: 25.1%Zack Zwiezen: 15.3%Kotaku: 15.3%Biased Writer Voice25.1%This article: 0.0%Zack Zwiezen: 3.4%Kotaku: 2.4%Indoctrination0.0%This article: 0.0%Zack Zwiezen: 0.0%Kotaku: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Zack Zwiezen: 0.1%Kotaku: 0.1%Politically Right Leaning Bias0.0%This article: 12.8%Zack Zwiezen: 7.9%Kotaku: 3.5%Attempt to Sell a Product or S…12.8%

407 words analyzed.

Speakers

1speaker68%attributed speech129writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 19 words • 0.0% coverageNetflix • 38 words • 0.0% coverageNetflix • 28 words • 0.0% coverageNetflix • 37 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 3 words • 100.0% coverageNetflix • 27 words • 100.0% coverageNetflix • 20 words • 100.0% coverageNetflix • 24 words • 0.0% coverageNetflix • 21 words • 0.0% coverageNetflix • 20 words • 0.0% coverageNetflix • 24 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageNetflix • 29 words • 100.0% coverageNetflix • 10 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 22 words • 0.0% coverage
Selected voice

Netflix

69%flagged-word coverage
278 attributed words100% of attributed speech85% writer coverage
0%27.5%55.0%Biased Writer Voice-37.1 ptsWriter: 50.4%Netflix: 13.3%13.3%Attempt to Sell a Product -7.4 ptsWriter: 17.8%Netflix: 10.4%10.4%Unattributed Quote+16.9 ptsWriter: 0.0%Netflix: 16.9%16.9%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

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