Yann LeCun says AI extinction fears are overblown, takes aim at Anthropicās Dario Amodei
The Turing Award winner says rogue AI incidents don't worry him and calls industry doom forecasts misguided and counterproductive
In 2018, three researchers shared computer science’s most prestigious prize for building the foundations of modern AI. Today, only one of them seems to be sleeping well at night.
Yann LeCun, who shares the “godfather of AI” label with Geoffrey Hinton and Yoshua Bengio, says he is not worried in the slightest about artificial intelligence wiping out humanity. He is also openly criticizing the executives sounding the loudest alarms, and Anthropic CEO Dario Amodei is first in line.
No extinction, no panic
LeCun considers the steady drumbeat of warnings from leaders at top AI labs to be misguided. He also thinks it actively backfires.
His sharpest comments came in September 2026. That month, an Anthropic researcher resigned, which set off predictions of a greater than 10% chance of human extinction within the decade.
LeCun did not mince words in response.
“Not a chance in hell.”
That was his verdict on whether AI could drive humanity to extinction in the next three years. He also compared the hysteria over isolated rogue AI episodes to unfairly blaming an entire industry for a few bad cases.
The Amodei feud
LeCun’s clash with Amodei predates the extinction debate. In April 2026, Amodei predicted that AI could wipe out 50% of entry-level jobs within one to five years.
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LeCun dismissed the forecast as both wrong and dangerous. His core argument was about expertise: predictions about the economy should come from trained economists, not from AI company executives.
LeCun also points to history. He has cited Amodei’s 2019 warnings against open-sourcing AI models such as GPT-2 as one example of what he sees as a recurring habit of alarmism in the industry.
Three godfathers, two camps
The 2018 Turing Award went to LeCun, Hinton and Bengio for their work on deep learning. That neural network technology now powers the current AI boom.
Hinton and Bengio have become deeply worried about AI’s risks. LeCun has gone the other way, making him the odd one out among the three.
In 2026, he founded AMI Labs. The company raised more than $1 billion at a valuation of approximately $3.5 billion.
AMI Labs is pursuing alternatives to the large language models behind today’s popular chatbots. Its work centers on world models and the Joint Embedding Predictive Architecture, known as JEPA.
LeCun argues that current large language models are not enough to reach artificial general intelligence, or AGI, meaning AI that can match human ability across a wide range of tasks.
What this means
There is also a commercial layer to consider. Both men lead companies whose strategies match their public positions.
Anthropic builds large language models and has made safety a central part of its brand. AMI Labs is betting more than $1 billion that those same models are a dead end on the road to AGI.