Anthropic's top economist says AI won't replace workers yet. Mark Cuban says it trails humans in 2 key ways. 36%

By Theron Mohamed47%

7/23/2026, 12:26:42 PM

BS Summary: This article contains 17 faulty reasoning types, including Optimism Bias, Availability Heuristic, and Framing Effect, with Hasty Generalization as the most egregious example at 25.8% saturation with 149 hits. Analysis detected 640 faulty-reasoning hits from 577 analyzed words, generating a BS Score of 43% and a BS Rank of 36% (13,675 of 21,197 articles). This article is better (less manipulative) than 64.50% of the article peer group.

Mark Cuban is a tech billionaire and former "Shark Tank" investor. 
Andrew Harnik/Getty Images 
Anthropic's head of economics says AI isn't taking jobs yet because it's working best with humans. 
Peter McCrory said that current models benefit from skillful users and augment people's efforts. 
In response, Mark Cuban said that AI might never match a human's ability to "read the room." 
Anthropic's top economist says AI isn't replacing workers yet because it works better with humans than without them. 
Mark Cuban says that may never change. 
Peter McCrory wrote in an X essay on Wednesday that by all accounts, "AI has caused no material increase in the unemployment rate to date," even among workers most at risk of having their jobs automated by the nascent technology. 
The head of economics at Anthropic  the AI company behind Claude Fable 5, one of the top large language models  said that AI so far appears to be "both skill-biased and labor augmenting," meaning expert users get more out of it, and it helps people do their jobs better. 
AI simply isn't up to the job in some areas. 
McCrory said the "tasks that Claude can't handle may depend on interpersonal coordination, in-person interactions, or engagement with the physical world that, so far, only humans can do." 
He cautioned that human expertise could decline in importance as AI models improve, but AI shouldn't materially increase unemployment for at least the next year, he said. 
Cuban , a tech billionaire and former "Shark Tank" investor, highlighted two areas where humans trump AI in an X post responding to commentary on McCrory's essay by Box CEO Aaron Levie. 
"Models don't know the consequences of their actions," he wrote. 
"People know what will get them fired. 
Models suffer from information latency. 
People understand what they see right in front of them." 
Cuban said those are two skills that "AI won't have for a long, long, long time . 
If ever." 
He added that they're "invaluable to every business decision," noting how often it's helpful to "read the room." 
Models don’t know the consequences of their actions. 
People know what will get them fired. 
Models suffer from information latency. 
People understand what they see right in front of them. 
2 skills AI won’t have for a long long long time. 
If ever. 
2 skills that are… https://t.co/dbzGpER01Z 
 Mark Cuban (@mcuban) July 23, 2026 
"Add AI productivity to the real-time capacity and judgment of humans, and you will get the greatest return on both investments," Cuban wrote. 
He added that managers need to figure out how to squeeze the most value out of that combination , as doing so can be a "business propellant and competitive advantage." 
Cuban  who sold his internet-radio startup to Yahoo for nearly $6 billion during the dot-com bubble  recently warned the mad rush to build AI infrastructure could result in excess capacity as power efficiency increases. 
He joked that obsolete data centers could wind up being converted into "pickleball courts." 
Even so, Cuban has repeatedly emphasized that businesses must embrace AI or they'll fail. 
"There's going to be two types of companies in this world: those who are great at AI, and everybody else that they put out of business," he said at a university event in February last year. 
Read the original article on Business Insider 
Article reasoning-pattern comparisonThis article: 0.0%Theron Mohamed: 4.6%Business Insider: 2.3%Confirmation Bias0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.7%Anchoring Bias0.0%This article: 9.4%Theron Mohamed: 3.1%Business Insider: 3.4%Availability Heuristic9.4%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.7%Representativeness Heuristic0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 1.0%Hindsight Bias0.0%This article: 8.5%Theron Mohamed: 4.9%Business Insider: 1.7%Overconfidence Bias8.5%This article: 9.4%Theron Mohamed: 6.1%Business Insider: 4.8%Framing Effect9.4%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.7%Loss Aversion0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.7%Status Quo Bias0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.3%Sunk Cost Effect0.0%This article: 14.6%Theron Mohamed: 6.4%Business Insider: 2.6%Optimism Bias14.6%This article: 1.2%Theron Mohamed: 3.6%Business Insider: 1.5%Pessimism Bias1.2%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 4.7%Negativity Bias0.0%This article: 2.9%Theron Mohamed: 1.0%Business Insider: 1.8%Self-Serving Bias2.9%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.3%Actor-Observer Bias0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.7%In-Group Bias0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.2%Out-Group Homogeneity Bias0.0%This article: 1.9%Theron Mohamed: 0.6%Business Insider: 2.7%Halo Effect1.9%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Horn Effect0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 1.3%Recency Bias0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.4%Primacy Effect0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Blind-Spot Bias0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.3%Ad Hominem0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Straw Man0.0%This article: 1.6%Theron Mohamed: 2.6%Business Insider: 3.4%Appeal to Authority1.6%This article: 6.6%Theron Mohamed: 7.2%Business Insider: 1.2%False Dilemma6.6%This article: 2.9%Theron Mohamed: 1.0%Business Insider: 0.6%Slippery Slope2.9%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Circular Reasoning0.0%This article: 25.8%Theron Mohamed: 13.9%Business Insider: 3.8%Hasty Generalization25.8%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.2%Red Herring0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.5%Bandwagon0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 3.0%Appeal to Emotion0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.7%Begging the Question0.0%This article: 6.9%Theron Mohamed: 2.3%Business Insider: 2.4%Post Hoc (False Cause)6.9%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Tu Quoque0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.2%Burden of Proof0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Appeal to Nature0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.2%Composition/Division0.0%This article: 2.4%Theron Mohamed: 0.8%Business Insider: 3.5%Anecdotal2.4%This article: 2.9%Theron Mohamed: 1.0%Business Insider: 0.1%No True Scotsman2.9%This article: 1.4%Theron Mohamed: 0.5%Business Insider: 1.5%Ambiguity (Equivocation)1.4%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Middle Ground0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.0%Personal Incredulity0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Special Pleading0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.0%Genetic Fallacy0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 1.1%Unattributed Quote0.0%This article: 0.0%Theron Mohamed: 2.8%Business Insider: 0.7%Quote-first Misdirection0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 3.4%Biased Writer Voice0.0%This article: 6.2%Theron Mohamed: 2.1%Business Insider: 1.2%Indoctrination6.2%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Theron Mohamed: 0.0%Business Insider: 0.1%Politically Right Leaning Bias0.0%This article: 6.2%Theron Mohamed: 2.1%Business Insider: 1.6%Attempt to Sell a Product or S…6.2%

577 words analyzed.

Speakers

4speakers73%attributed speech155writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageAnthropic's head of economics • 16 words • 0.0% coveragePeter McCrory • 14 words • 0.0% coverageMark Cuban • 17 words • 0.0% coverageAnthropic's top economist • 18 words • 0.0% coverageMark Cuban • 7 words • 0.0% coveragePeter McCrory • 40 words • 0.0% coverageAnthropic's head of economics • 51 words • 0.0% coverageWriter's voice • 10 words • 0.0% coveragePeter McCrory • 28 words • 0.0% coveragePeter McCrory • 27 words • 0.0% coverageMark Cuban • 32 words • 0.0% coverageMark Cuban • 10 words • 0.0% coverageMark Cuban • 7 words • 0.0% coverageMark Cuban • 5 words • 0.0% coverageMark Cuban • 10 words • 0.0% coverageMark Cuban • 17 words • 0.0% coverageMark Cuban • 2 words • 0.0% coverageMark Cuban • 18 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageMark Cuban • 23 words • 0.0% coverageMark Cuban • 30 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageMark Cuban • 14 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageMark Cuban • 36 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverage
100%flagged-word coverage
18 attributed words4.3% of attributed speech44% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.