The AI Layoff Trap 67%

By Jonathan V. Last50%

7/23/2026, 5:01:35 PM

BS Summary: This article contains 29 faulty reasoning types, including Attempt to Sell a Product or Service, Appeal to Emotion, and Confirmation Bias, with Anecdotal as the most egregious example at 17.3% saturation with 66 hits. Analysis detected 733 faulty-reasoning hits from 381 analyzed words, generating a BS Score of 60.6% and a BS Rank of 67% (7,285 of 21,886 articles). This article is worse (more manipulative) than 66.70% of the article peer group.

We’re going to have a fairly technical discussion about economics and AI in a minute, but first I want to give you some candy. 
As part of the America 250 BS, the Trump administration held a quiz bowl–style competition for high school kids about “civics.” 
And they rigged the game. 
One of the semifinalists was a Sikh kid from Connecticut with immigrant parents. 
The judges made clear-cut “mistakes” in grading his answers so that three white kids—one homeschooled, one from a private Catholic school, and one whose dream is to go to Hillsdale—made the finals. 
I know this sounds like crazy talk. 
It’s not. 
NOTUS has the entire story. 
This is America now. 
Heritage Americans and MAGA fans first. 
No deviationism will be permitted. 
1 
On the one hand: This is not a big deal. 
Anyone who has ever watched a $100 Rotary scholarship go to the son of the guy who runs the local chamber of commerce knows this is how things work sometimes. 
On the other hand: The rest of us don’t have to play along and pretend not to see what’s happening. 
Oh, and one last thing in the footnotes. 
2 
There’s a new academic paper making the rounds from a couple of researchers at Wharton. 
It is . . . alarming. 
They try to anticipate effects from the AI disruption and their thesis goes something like this: 
AI will rapidly replace many workers. 
The surge in unemployment will crush overall demand for products and services. 
At which point the companies that replaced workers with AI will suffer. 
This trap is akin to the Prisoner’s Dilemma. 
Overall, businesses would be better off if they cooperated and slowed their adoption of AI. 
But individually, businesses will be harmed if they don’t replace workers as fast as possible. 
Not gonna lie: It’s a pretty grim assessment. 
So let’s look closer. 
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I know these paywalls can be annoying but they make it possible for us to do what we do here every day—helping you see around corners. 
I hope you’ll consider giving Bulwark+ a try, FREE for the next two weeks. 
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We keep each other sane. 
Confirmation Bias
16.3%
Anchoring Bias
0%
Availability Heuristic
7.9%
Representativeness Heuristic
2.1%
Hindsight Bias
1%
Overconfidence Bias
2.1%
Framing Effect
2.6%
Loss Aversion
9.2%
Status Quo Bias
0%
Sunk Cost Effect
6.8%
Optimism Bias
6.6%
Pessimism Bias
7.6%
Negativity Bias
15.7%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
5%
Out-Group Homogeneity Bias
1.6%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
1.3%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
0%
False Dilemma
9.2%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
8.4%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
17.1%
Begging the Question
0.5%
Post Hoc (False Cause)
3.1%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
4.2%
Anecdotal
17.3%
No True Scotsman
1.6%
Ambiguity (Equivocation)
2.1%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
1.8%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
11%
Quote-first Misdirection
8.4%
Biased Writer Voice
0%
Indoctrination
2.9%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
1.6%
Attempt to Sell a Product or Service
17.3%

381 words analyzed.

Analysis

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