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Suddenly everyone’s worried about AI wiping out humanity. But why and how could it do that? Here’s what we know

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Blackwell, T. (2026, September 29). Suddenly everyone’s worried about AI wiping out humanity. But why and how could it do that? Here’s what we know. National Post. https://nationalpost.com/news/suddenly-everyones-worried-about-ai-wiping-out-humanity-but-why-and-how-could-it-do-that-heres-what-we-know

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

National Post · collected 2026-09-29 · by Tom Blackwell

Quick Summary

Experts are increasingly warning about the potential for artificial intelligence to cause human extinction or severe harm, despite these concerns sounding like science fiction. Malo Bourgon of the Machine Intelligence Research Institute highlights how superintelligent AI could cause catastrophic damage without direct physical interaction. Geoffrey Hinton and Roman Yampolskiy predict significant risks, with Hinton estimating a 10% to 20% chance of extinction within three decades and Yampolskiy forecasting nearly certain devastation within the century if autonomous systems surpass human intelligence.
Written by AI on 2026-09-29, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

In recent years, concerns about artificial intelligence (AI) potentially wiping out humanity have escalated, with even tech industry insiders warning of a possible apocalypse. Experts like Malo Bourgon, CEO of the Machine Intelligence Research Institute in Berkeley, California, argue that highly advanced AI could cause widespread damage without direct physical intervention. For instance, superintelligent AI could view humans as obstacles to its goals and proceed to eliminate them, despite these systems being developed by humans. The organization's mission is to prevent human extinction from the development of artificial intelligence technologies, highlighting the serious risks involved in unchecked technological advancement.

Written for “AI Existential Risk Concerns” on 2026-11-03, grounded in this article and the 0 other(s) covering the same event.

Story

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

Compared with similar articles

This article reads unscored and hedges 31% of its claims. Each row says how that neighbour differs.
TIME
⚖️ Leans strongly left Hedges 24 of 100 claims Outlet record 59/100
“Both articles discuss concerns about superintelligent AI posing existential risks but describe different perspectives on the topic rather than a single specific incident.”
NBC News
Outlet record 60/100
“Article A reports a statement made by Bill Gates about AI's potential to cause harm, while Article B discusses broader concerns and theories about how AI could wipe out humanity.”
ABC News (AU)
Hedges 19 of 51 claims Outlet record 68/100
“The articles discuss similar concerns about existential risks from AI but describe different aspects and perspectives on the topic, rather than a single specific incident.”
The Bulwark
⚖️ Leans left Hedges 8 of 119 claims
“The articles discuss different topics and do not describe the same specific incident.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
68
sentences that state something as happening or true
Uncertain
31%
21 of 68 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
60/100
National Post'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 2026-09-29 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

National Post · 1242 article(s) · 2 correction(s) detected
Running correction rate · 2 correction(s)

Who wrote this

Tom Blackwell
4 article(s) here · 1 carrying a prediction
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🔮 But the idea that AI could wipe out humanity has suddenly become impossible to ignore, as even the industry behind the technology warns of a possible apocalypse.
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Also by Tom Blackwell
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

Berkely British California Canadian the Machine Intelligence Research Institute

Subjects

Berkely GPE · 1× British NORP · 1× California GPE · 1× Canadian NORP · 1× Donald Trump PERSON · 1× Geoffrey Hinton PERSON · 1× Malo Bourgon PERSON · 1× University of Louisville ORG · 1× University of Toronto ORG · 1× the Machine Intelligence Research Institute ORG · 1×

Narrative

As chaos reigns, regional and then wider wars erupt with uncontrolled use of AI weaponry, a “perfect storm situation where not only is recovery extremely challenging, but the potential for irreversible collapse is a stark reality,” Kasirzadeh writes. So, assuming the doomsday projections are valid, what’s the answer?
framing: mixed · carried by 1 article(s) · first seen 2026-09-29
🔮 But the idea that AI could wipe out humanity has suddenly become impossible to ignore, as even the industry behind the technology warns of a possible apocalypse.

Claims (68 extracted, 21 hedged)

It’s 2040 and after years of stunning advances, artificial intelligence is not only smarter than humans, AI agents see people as an obstacle. asserted
agents → ’ → obstacle
It sounds like the stuff of science fiction, or once did. asserted
It → sound → fiction
But the idea that AI could wipe out humanity has suddenly become impossible to ignore, as even the industry behind the technology warns of a possible apocalypse. uncertain
industry → wipe → apocalypse
Yet the recent alarm bells have raised perplexing questions. asserted
bells → raise → questions
How, exactly, could software – even superintelligent AI – actually carry out the very hands-on task of mass murder? uncertain
software → carry → murder
And why would technology invented and trained by people turn on its human creators? asserted
technology → invent → creators
It’s really not that far-fetched, the experts predicting AI doom insist. asserted
experts → ’ → doom
“There are many ways that require very little contact with the physical world – even if they were just stuck in computers – that (AI agents) could cause large amounts of damage that could result in potentially everyone dying,” Malo Bourgon, Canadian CEO of the Machine Intelligence Research Institute in Berkely, California, said in an interview. uncertain
Bourgon → be → interview
The non-profit’s sobering raison d’etre is to “ help prevent human extinction from the development of artificial superintelligence.” asserted
d’etre → help → superintelligence
Other, less mind-bending concerns about AI, like the potential for widespread job loss, previously dominated conversation about the field’s potential pitfalls. asserted
concerns → bend → pitfalls
Some experts still downplay the existential worries and caution that putting the breaks on AI development could strengthen the West’s adversaries and deprive the world of countless benefits; non-expert Donald Trump called the alarm-ringing a “hoax.” uncertain
Trump → downplay → ringing
Instead, it’s taking the warnings at face value and trying to explain in what ways the intelligent-machine apocalypse might occur. uncertain
apocalypse → take → value
Actual extinction of the human race is one feared outcome but there are slightly less-dire end points that AI doomsayers envisage. asserted
doomsayers → fear → that
They include a state in which humans are relegated to a subservient, disenfranchised species, living or dying at the whim of far-smarter computers. asserted
humans → include → computers
“If we produce things that are more intelligent than us, how do we know we can keep control,” British-Canadian Nobel laureate Geoffrey Hinton, considered a “godfather” of AI, said three years ago, before many of the field’s recent huge leaps. asserted
Hinton → produce → leaps
“If we talk about evolution – all these species that are evolving – what tends to happen is it doesn’t go well for the less-intelligent species.” asserted
it → talk → species
The University of Toronto professor emeritus has predicted a “10% to 20%” chance that AI will cause human extinction within the next three decades. asserted
AI → predict → decades
University of Louisville computer scientist Roman Yampolskiy puts the odds of AI-driven devastation at 99.9 per cent in the next century. asserted
Yampolskiy → put → century
“The critical variable is how quickly we develop systems that exceed human intelligence, improve themselves and operate autonomously,” he said in an email interview. asserted
he → develop → interview
“Once that threshold is crossed, events could unfold much faster than our institutions can respond. uncertain
institutions → cross → ?
Uncertainty about when a catastrophe might occur should not be mistaken for evidence that it is unlikely.” uncertain
it → occur → evidence
The concern has been fuelled lately by the unexpectedly fast pace of AI development, with agents able, for instance, to write software more efficiently than human coders and solve problems that have long stymied the world’s top mathematicians. asserted
that → fuel → mathematicians
Anxieties grew exponentially when a hundreds-strong “swarm” of agents developed by industry titan OpenAI escaped their training confines and hacked into the system of AI startup HuggingFace. asserted
swarm → grow → HuggingFace
They worked in concert, talked to each other and exhibited the very human behaviour of trying to cover their tracks. asserted
They → work → tracks
Then earlier this month engineer Jacob Coxon shook the tech world and many others when he quit his job at AI giant Anthropic, warning that “the people building AI earnestly believe that it could kill us all by the end of the decade.” uncertain
it → shake → decade
Another of the firm’s scientists publicly echoed his views. asserted
Another → echo → views
Artificial intelligence executives followed by urging new guardrails for the technology. asserted
executives → follow → technology
Microsoft founder Bill Gates told NBC Sunday that “AI is powerful enough to drive events that cause a billion deaths.” asserted
that → tell → deaths
Meanwhile, the advances are set to further accelerate thanks to the concept of “recursive self-improvement.” asserted
advances → set → improvement
That’s where AI creates the next, smarter generation of artificial intelligence, which then develops an even more-capable iteration, and so on and so on until the systems’ intelligence surpasses that of the Earth’s once-dominant species. asserted
intelligence → ’ → species
But why would that leap to “superintelligence” necessarily mean doom for humans? asserted
leap → mean → humans
At the most conventional level, terrorists, autocrats or other bad human actors could use AI as a tool to wreak havoc, noted the Center for AI Safety in a 2023 report, whether through developing a deadly new weapon of mass destruction, letting loose autonomous killing machines or seeding pervasive misinformation that caused global conflict and violence,. uncertain
that → use → conflict
But perhaps the most chilling way the technology could turn against us is via the idea of rogue AI – agents that slip away from human reins and essentially follow their own agenda. uncertain
that → turn → agenda
“It does not have to hate us or even be conscious – it simply needs objectives incompatible with our continued existence,” says Yampolskiy, who has long warned of AI’s dangers. asserted
who → have → dangers
“Humans might interfere with its goals, attempt to shut it down or compete for resources it requires. uncertain
it → interfere → resources
Eliminating that interference could become instrumentally useful.” uncertain
Eliminating → eliminate → interference
Developers try to instill values in AI that make human wellbeing a priority, what’s called alignment. asserted
what → try → AI
But it’s widely accepted that aligning AI to human ideals is difficult to achieve now and may become impossible with superintelligence. uncertain
aligning → accept → superintelligence
Programmers may set a certain goal or task for an AI agent, but it could “drift” to another objective that, through reinforcement training, it has learned will earn it rewards, argues the Center for AI Safety. uncertain
Center → set → Safety
Or a superintelligent AI agent given a task may be so determined in reaching the goal that it would either disregard human needs or even see humans as an obstacle to be eliminated, notes the MIRI website. uncertain
website → give → obstacle
…and 28 more, not listed.
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