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Could AI Kill Humanity? Anthropic Researcher Raises a Stark Warning
Artificial intelligence has moved from science fiction into everyday life. But as AI systems become increasingly capable, some of the people building them are raising a much darker question: Could AI eventually become too powerful for humans to control?
That question returned to the spotlight on September 9 after Evan Hubinger, Anthropic's Alignment Science Lead, publicly said that he personally believes there is more than a 10% chance that AI could kill all humans within the next decade. The statement followed the resignation of Anthropic researcher Jacob Coxon, who criticized the industry's rush toward increasingly powerful and potentially self-improving AI systems.
Hubinger's comments are particularly striking because they come from inside one of the world's leading AI companies. In response to Coxon's warning, Hubinger said that researchers at Anthropic "earnestly believe" AI could kill all humans. He added that, in his personal assessment, the probability is above 10% over the next decade. At the same time, Hubinger stressed that Anthropic is attempting to address the problem. However, he acknowledged that the company does not yet have a plan that solves alignment for superintelligence and is not clearly on track to solve it.
That admission is at the heart of the current debate.
The warning does not mean that today's chatbots are expected to suddenly turn against humanity.
Hubinger has distinguished current AI systems from a possible future generation of much more capable systems. The bigger concern is superintelligence — AI that could substantially exceed human abilities across a wide range of tasks.
One particular concern is recursive self-improvement.
If an advanced AI system were able to significantly improve its own capabilities, researchers worry that the speed of development could eventually move beyond humans' ability to understand, predict or control the system.
That scenario remains hypothetical, but the possibility is one reason AI alignment has become such an important area of research.
What Does "AI Alignment" Mean?
AI alignment is essentially about making sure powerful AI systems behave according to human intentions and values. For today's systems, this can involve preventing harmful responses, improving reliability and reducing unwanted behavior. The challenge becomes much larger if AI systems eventually become significantly more capable than the people attempting to supervise them. How do humans reliably control a system that may be better than humans at reasoning, coding, research and strategic planning?
And what happens if its goals are interpreted differently from what its developers intended?
These are some of the questions researchers are trying to answer before increasingly advanced systems arrive.
Another Researcher's Resignation Adds to the Debate
Hubinger's warning came shortly after Jacob Coxon announced his departure from Anthropic.
Coxon said he was increasingly concerned that AI companies were racing toward self-improving superintelligence without sufficient safeguards. He criticized both Anthropic and OpenAI, arguing that competition could encourage companies to move faster even when the risks remain difficult to manage.
The two developments have intensified discussion around whether the AI industry can safely manage its own development. They also highlight a growing tension:
How fast should AI advance — and how much safety work needs to happen before the next major capability leap?
A 10% Estimate Is Not a Scientific Prediction
It is important to put the figure into context. The more-than-10% estimate is Hubinger's personal assessment, not a prediction that scientists agree on or an official forecast from Anthropic. There is substantial disagreement among AI researchers about the probability, timing and nature of existential risks from artificial intelligence.
Some researchers consider catastrophic AI risk a serious possibility requiring urgent preparation. Others are significantly less concerned about extinction scenarios or believe that technological progress will provide additional opportunities to manage the risks. That uncertainty makes the statement notable — but it should not be interpreted as proof that human extinction from AI is inevitable.
The Bigger Question for the AI Era
The most important part of this story may not be the number itself. It is the fact that researchers working directly on AI safety are openly discussing scenarios that once seemed purely fictional. At the same time, AI development is accelerating across science, business, cybersecurity, healthcare and the wider economy. AI systems are becoming more capable, more autonomous and increasingly integrated into real-world processes.
That makes the safety conversation harder to postpone. The question is no longer simply "What can AI do?"
It is increasingly becoming:
"How do we make sure increasingly powerful AI remains under meaningful human control?"
Innovation and Responsibility Must Move Together
AI could transform scientific discovery, productivity and everyday life. But the technology's potential benefits do not eliminate the need to understand its risks. The warning from Anthropic's Hubinger is ultimately part of a much larger conversation about how humanity approaches increasingly powerful technology. Whether his more-than-10% estimate ultimately proves too high, too low or impossible to measure, the underlying question is difficult to ignore.
The faster AI becomes more capable, the more important it becomes to make safety part of the development process — not something addressed afterward.
The future of AI may depend not only on how intelligent these systems become, but on whether humans can remain responsible for where that intelligence takes us.
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