Futurism90%

Health Care Workers Furious as NYC Replaces Nurses With AI 65%

By Frank Landymore73%

7/15/2026, 6:32:49 PM

BS Summary: This article contains 22 faulty reasoning types, including Appeal to Emotion, Anecdotal, and Framing Effect, with Negativity Bias as the most egregious example at 46.8% saturation with 260 hits. Analysis detected 1,359 faulty-reasoning hits from 556 analyzed words, generating a BS Score of 59.4% and a BS Rank of 65% (5,889 of 16,550 articles). This article is worse (more manipulative) than 64.40% of the article peer group.

Twelve nurses in New York City were laid off on Sunday and replaced with AI software, according to their union  a move that comes not long after nurses went on strike and fought for safeguards against AI. 
One of the laid off workers, Marilyn Shuler, had worked at Montefiore hospital in the Bronx as a utilization nurse for 39 years before suddenly losing her job. 
Utilization nurses review patient charts to show that their care is medically necessary so that an insurance company will cover it. 
“I’ve always, always taken so much pride in the organization that I’ve worked for all these years, and just to be treated this way,” Shuler told The Guardian . 
“It’s disrespectful, and it’s very disheartening, and my colleagues feel the same way as well.” 
The New York State Nurses Association (NYSNA), which represents the healthcare workers, issued a statement earlier this month warning that Montefiore intended to replace nurses with AI. 
That has now come to bear. 
It also drew attention to the fact that the company providing the AI software, Datavant, has partnerships with Palantir , the surveillance tech firm which has stirred considerable controversy for its collaboration with ICE . 
In January, some 15,000 nurses started what would become a 41-day strike at several of the state’s largest hospitals. 
The outcome of this was a new three-year contract which included historic safeguards against AI. 
But when Shuler and others returned to work in February, their workflow was changed without explanation, according to The Guardian . 
After a period of radio silence from management, the dozen nurses abruptly received 45-day notices in late May saying that they would be laid off. 
“We are outraged about these layoffs because these dedicated nurses are being replaced by AI,” Shaiju Kalathil, a Montefiore nurse and a union committee member, said in the statement. 
“This is a violation of the contract that we recently won by going on strike. 
It should also concern every practitioner and patient who cares about the future of healthcare and the quality of care they receive.” 
There’ve been clear warning signs that AI could disrupt healthcare workers. 
Doctors and nurses use AI tools for clinical notes, and some clinics use AI to help triage patients. 
Shortly after the nurses’ strike, the CEO of the NYC Health and Hospitals, the largest city healthcare system in the US, openly enthused about replacing radiologists with AI . 
The transition to using AI could carry significant risks. 
In Brazil, a 32-year-old woman reportedly died after an AI system for assigning hospital beds left her waiting five days to be transferred to an intensive care unit. 
Montefiore denies the framing that it replaced workers with AI. 
“As is often the case, the claims by NYSNA are inaccurate and misleading,” Joe Solmonese, senior vice-president for government relations and strategic communications at Montefiore, told The Guardian . 
“What is true is that we are always investing in new technology to ensure the best care and outcomes for our patients and will continue to do so for the betterment of the people we serve.” 
More on AI: A Majority of Americans Now Support Seizing Wealth From AI Industry 
The post Health Care Workers Furious as NYC Replaces Nurses With AI appeared first on Futurism . 
Confirmation Bias
13.5%
Anchoring Bias
0%
Availability Heuristic
11.9%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
13.8%
Loss Aversion
0%
Status Quo Bias
2.7%
Sunk Cost Effect
0%
Optimism Bias
6.5%
Pessimism Bias
5.6%
Negativity Bias
46.8%
Self-Serving Bias
13.5%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
2.7%
Out-Group Homogeneity Bias
0%
Halo Effect
6.3%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
12.1%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
10.1%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
8.8%
Red Herring
8.8%
Bandwagon
0%
Appeal to Emotion
21.6%
Begging the Question
10.3%
Post Hoc (False Cause)
12.1%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
6.5%
Composition/Division
0%
Anecdotal
14.7%
No True Scotsman
0%
Ambiguity (Equivocation)
5.2%
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
1.8%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
9.4%

556 words analyzed.

Analysis

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