Another researcher from the frontier of artificial intelligence has stepped forward with an extraordinary warning: the technology humanity is racing to develop could eventually become powerful enough to threaten humanity itself. Bilal Chughtai, a former Google DeepMind research engineer who worked specifically on artificial general intelligence safety and alignment, left the company in July and now says he believes AI has the potential to “kill us all.” His concern centers on the possibility that AI companies could create superintelligent systems exceeding human capabilities across nearly every domain before researchers have solved the problem of reliably controlling them. Chughtai says safe development is still possible, but argues that companies need to slow the pace enough for society and safety researchers to understand emerging dangers before those dangers become irreversible. His warning follows the resignation of Anthropic researcher Jacob Coxon, who similarly said that people building advanced AI genuinely believe it could become an existential threat.
What makes these warnings difficult to dismiss is that they are not coming exclusively from outsiders speculating about science fiction. Chughtai worked directly on AI alignment—the field devoted to ensuring increasingly capable systems behave according to human intentions. Anthropic scientist Evan Hubinger recently said he believes there is a greater than 10% chance that AI could cause human extinction within the next decade, while other former DeepMind researchers have raised concerns about recursive self-improvement: AI increasingly helping design and improve the next generation of AI. None of this establishes that artificial intelligence will become conscious, rebel against humanity, or cause extinction; those outcomes remain highly disputed and uncertain. The immediate problem is more concrete: AI systems are becoming more autonomous and capable while governments and companies are locked in an intense competition to develop them faster. Chughtai calls it a “manic race” and argues that without coordination, even developers who recognize the risks may find it difficult to slow down without fearing that a competitor will surge ahead.
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