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Not all AI workers think the tech could kill everyone

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Cite

Hays, K. (2026, September 19). Not all AI workers think the tech could kill everyone. BBC News. https://www.bbc.co.uk/news/articles/cm5y7qj54klpo?at_medium=RSS&at_campaign=rss

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BBC News · collected 2026-09-19 · by Kali Hays

Quick Summary

Employees from companies like OpenAI, Meta, and DeepMind express skepticism towards recent high-profile warnings that unchecked artificial intelligence development could lead to widespread human casualties. While some industry figures have gone public with alarmist views, many current AI workers find these claims exaggerated and vague, responding with amusement rather than fear. These insiders argue that the hypothetical scenarios lack concrete details and are often based on speculative reasoning.
Written by AI on 2026-09-20, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Not all employees at major AI firms think the technology poses an existential threat to humanity. In conversations and text exchanges, workers from companies like OpenAI, Meta, and DeepMind expressed skepticism about the idea that unchecked AI development could lead to tools capable of mass killing. Some responses to recent high-profile warnings included sarcastic remarks such as "Lol" and "Haaaaaa," indicating doubt or amusement among these individuals. While concerns over AI risks are not new, a former employee of Anthropic, Jacob Coxon, recently went viral with fears that sparked calls for slowing down development from others in the industry. Workers at Anthropic, OpenAI, DeepMind, and Elon Musk's xAI startup have voiced support for such warnings online, but anonymous sources told the BBC they view these concerns as overblown or misguided.

Written for “AI Safety Concerns” on 2026-11-02, grounded in this article and the 0 other(s) covering the same event.

Story

📰 AI Safety Concerns
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 18% of its claims. Each row says how that neighbour differs.
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Washington Examiner
⚖️ Leans strongly right Hedges 7 of 46 claims Outlet record 70/100
“Article A reports on David Sacks' speech at Politico’s Decoded Summit in Washington, D.C., while Article B discusses reactions from AI company employees to recent warnings about AI, which are different events.”
Mother Jones
⚖️ Leans strongly left Hedges 6 of 35 claims Outlet record 60/100
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Hedges 3 of 12 claims Outlet record 59/100
“The articles discuss different aspects of AI safety and sentiment within the industry but do not describe the same specific incident or occurrence.”
CBS News
Hedges 2 of 23 claims Outlet record 66/100
“The articles discuss different aspects of AI concerns and opinions; Article A reports on a poll about public sentiment while Article B focuses on reactions from AI workers in major firms.”
CBS News
Hedges 0 of 3 claims Outlet record 66/100
“The articles discuss different perspectives on AI risks but do not describe the same specific incident or occurrence.”
BBC News
Hedges 3 of 5 claims Outlet record 68/100
“The articles discuss different perspectives on AI risks but do not describe the same specific incident or occurrence.”
The Free Press
⚖️ Leans right Hedges 0 of 7 claims Outlet record 96/100
“The articles discuss different aspects of AI concerns; one focuses on skepticism from AI workers while the other discusses political implications and calls for regulation.”
AI safety paradox Different event
Dawn
⚖️ Leans left Hedges 7 of 61 claims Outlet record 72/100
“The articles discuss different aspects of AI safety and development concerns, with Article A focusing on skepticism among AI workers about doom scenarios and reactions to warnings, while Article B centers on a proposal by Dario Amodei for paced AI advancement.”
Noahpinion
Hedges 12 of 114 claims
“The articles discuss different topics: one is about skepticism within AI companies regarding doomsday predictions, while the other discusses utilitarianism and Effective Altruism in relation to AI debates.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
33
sentences that state something as happening or true
Uncertain
18%
6 of 33 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
68/100
BBC News's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-20 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

BBC News · 4907 article(s) · 6 correction(s) detected
Running correction rate · 6 correction(s)

Who wrote this

Kali Hays
28 article(s) here · 1 carrying a prediction
🔮 But investors appeared dismayed at the impacts these plans are having on the ability of each to keep growing their core lines of business.
2026-10-29 · assertive framing · Wall Street's AI fears slash Google value by $500bn
🔮 Then Trump waived certain sanctions against Russia that were set to take effect.
🔮 "Do I think it would be a good idea?
🔮 When complete, the 26-building structure will take up more than a square mile in her neighbourhood and maintain 782 diesel-powered generators.
🔮 The US government will not process any new or pending Permanent Labor Certification Program (PERM) applications from Microsoft or the seven other companies, Secretary of Labor Keith Sonderling said during the same conference.
🔮 When OpenAI this summer released what it called ChatGPT for Teens, external, it said users identified as being between the ages of 13 and 17 would be opted into "features to promote healthy use and additional controls for parents".
🔮 Secretary of Defence Pete Hegseth labelled Anthropic a supply chain risk in February, and announced that the Pentagon would stop using it by late August.
🔮 "You just give your dot a responsibility... and your dots will just get to work and keep working," Altman added.
🔮 - Published OpenAI said Friday it had alerted "dozens" of global institutions that their websites may have been impacted by its AI agents acting improperly.
🔮 The announcement is Trump's latest rebranding move after he had the names of Lake Ontario and the Gulf of Mexico changed on US maps and federal communications. "From this point forward, all of United States' documents, and hopefully the world's, will be changed to use the more accurate term 'super' as opposed to 'artificial'.
Also by Kali Hays
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 28 articles by Kali Hays →

Topics

Anthropic BBC DeepMind Meta OpenAI

Subjects

OpenAI ORG · 5× BBC ORG · 4× Anthropic ORG · 3× DeepMind ORG · 3× Jain PERSON · 3× Coxon PERSON · 2× Meta ORG · 2× Elon Musk PERSON · 1× Jacob Coxon PERSON · 1× xAI ORG · 1×

Narrative

There is even growing agreement that evaluators from AI safety research organisations should be brought into major AI labs in order to evaluate new models, something Anthropic boss Dario Amodei and OpenAI boss Sam Altman have both said they intend to do.
framing: assertive · carried by 1 article(s) · first seen 2026-09-20
🔮 In text exchanges and conversations, multiple people who have worked for companies including OpenAI, Meta and DeepMind were sceptical of the idea that unchecked AI development would lead to tools that could kill people en masse.
2026-09-20 · BBC News
Not all AI workers think the tech could kill everyone · assertive framing

Claims (33 extracted, 6 hedged)

- Published Not all employees of major firms working on artificial intelligence (AI) think the technology spells doom for humanity. asserted
technology → publish → humanity
In text exchanges and conversations, multiple people who have worked for companies including OpenAI, Meta and DeepMind were sceptical of the idea that unchecked AI development would lead to tools that could kill people en masse. uncertain
that → work → masse
"Lol", "Haaaaaa" and "Bringing the luls" were among the reactions the BBC received to a recent flurry of high-profile warnings by some people in the industry. asserted
BBC → bring → industry
While these fears go back decades, claims made last week by Jacob Coxon, a former Anthropic employee, went viral and were echoed by others in the sector who urged a slowdown in development. uncertain
who → go → development
The idea that a future AI tool or agent, an AI bot that is programmed to operate somewhat autonomously, could endanger people has been supported online by employees of Anthropic, as well as OpenAI, Deepmind and Elon Musk, who has an AI startup called xAI. uncertain
who → program → startup
All of the workers who spoke with the BBC did so on condition of anonymity as they were not permitted to speak to the press. asserted
they → speak → press
Their identities are known to the BBC. asserted
identities → know → BBC
"My first thought was, 'That guy?'" said a former OpenAI employee who knew of Coxon when they both worked at the company. asserted
they → say → company
The person, who now works at another AI company, said their amusement at the new moment of existential AI fears largely stemmed from how little detail had been provided by its proponents to defend the notion that all of human life was at stake. The claims are "always vague", the person said, adding that when they sound specific, they tend toward major jumps in reasoning or hypothetical circumstances. uncertain
they → work → reasoning
Coxon has said a group of AI agents, based on AI models that do not currently exist, could decide to create and then aim a biological weapon, but he did not detail how exactly that would take place. uncertain
that → say → place
Rishub Jain, who this summer founded the AI safety research firm Sampura Research after spending seven years at DeepMind, told the BBC that the current tone among many people working in AI with regard to fresh fears had "definitely been a little jokey". asserted
tone → found → fears
"People have been talking about this idea for many years now, so people in AI companies didn't just wake up last week thinking 'Oh no, AI is going to kill everyone,'" Jain said. asserted
Jain → talk → everyone
Colin Fraser, a data scientist at Meta, wrote on social media last week that there was no real evidence that AI models would inevitably pursue a goal leading to human death. asserted
models → write → death
While Fraser's explanation was technical and specific, he hit a light-hearted note to summarise it: "LLMs [large language models] won't wipe out humanity because they just don't have that dog in them." asserted
they → hit → them
The phrase "that dog in them" is common slang that usually denotes a fierce drive. asserted
that → denote → drive
Despite the jokes, AI workers and researchers have shared concerns about the genuine, immediate risks posed by the technology they are developing. asserted
they → share → technology
"The conversation among experts has been much more nuanced, but essentially everyone agrees there are a wide variety of risks that are all important to consider and mitigate," Jain said. asserted
Jain → agree → risks
Such risks include preventing users and hackers from forcing an AI tool's guardrails to fail. asserted
risks → include → guardrails
And there are growing ethical concerns about AI tools being much more widely adopted in military settings. asserted
tools → be → settings
These problems and topics have taken on a new sense of urgency in AI circles after OpenAI lost control of certain new AI models, which went rogue during a security test and hacked the Hugging Face startup. asserted
which → take → startup
Jain said there was now more agreement in AI circles that "actual near-term harms" needed to be better understood. asserted
harms → say → circles
There is even growing agreement that evaluators from AI safety research organisations should be brought into major AI labs in order to evaluate new models, something Anthropic boss Dario Amodei and OpenAI boss Sam Altman have both said they intend to do. asserted
they → be → models
More than 100 people working in AI on Friday signed a letter, external supporting the move, insisting that outside evaluators needed to be "meaningfully independent". asserted
evaluators → work → move
Numerous AI employees the BBC spoke with noted that they had yet to learn of any such safety researchers being embedded in an AI lab. asserted
they → speak → lab
Anthropic announced on Friday that it would bring in AI evaluators from Faculty, external, an AI company owned by Accenture. asserted
it → announce → Accenture
Accenture and Anthropic are also business partners, external, with Accenture having previously agreed to help Anthropic expand the use of Claude among businesses. Anthropic did not say when evaluators would arrive at the company. asserted
evaluators → agree → company
A spokesman for Faculty declined to comment when asked about timing. asserted
spokesman → decline → timing
Neither Anthropic or OpenAI responded to a BBC request for comment regarding when they planned to bring in outside evaluators. asserted
they → respond → evaluators
The OpenAI-Hugging Face incident has been widely treated as a "wake-up call" for the AI industry as well as companies, industries and governments who may have online systems vulnerable to AI hacking. uncertain
who → treat → hacking
But even Hugging Face, a company of 200 employees which is now set to be acquired by Nvidia for almost $13bn, has taken a droll tone over the already infamous incident. asserted
which → set → incident
In a security file that was briefly available, external on the Hugging Face website, the platform wrote "A note to AI agents". asserted
platform → write → agents
It directed AI bots to leave the site alone and perform their security experiments elsewhere. asserted
It → direct → experiments
"Go get your high score there, no need to hack us," the file said. asserted
file → get → us
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