Anthropic Alignment Lead Warns AI Could Kill All Humans Within a Decade

Anthropic Alignment Science Lead Evan Hubinger has estimated that there is a greater than 10% chance advanced artificial intelligence could kill all humans within the next decade, while acknowledging that the company does not yet have a clear solution for aligning future superintelligent systems with human interests.

According to Coin Bureau, Hubinger said Anthropic is “trying its best” to address the problem but is not clearly on track to solve alignment for superintelligence. His assessment represents a personal risk estimate rather than a prediction that current AI systems pose an imminent extinction threat.

Anthropic Researcher Raises Concerns Over Superintelligence

Hubinger’s warning came after Anthropic researcher Jacob Coxon publicly criticized the pace of development toward self-improving AI systems. Hubinger subsequently backed the broader concern, saying researchers at the company seriously believe AI could pose an existential threat to humanity.

The distinction between present-day AI and hypothetical future systems is central to the discussion. Hubinger has emphasized that his concern is focused on superintelligence emerging through recursive self-improvement, rather than the capabilities of models currently deployed.

Anthropic has previously acknowledged that increasingly capable AI systems could create new alignment challenges. In its alignment research, the company has said future models may become powerful enough to undermine assumptions behind existing safety techniques and has been developing methods for evaluating and monitoring highly financial capable systems.

AI Safety Debate Intensifies as Capabilities Advance

The latest warning adds to a broader debate within the AI industry over whether safety research is progressing quickly enough alongside model capabilities. Anthropic has conducted joint alignment evaluations with OpenAI and has published research focused on scalable oversight, including whether AI systems can assist humans in evaluating increasingly capable models.

For the industry, the significance of Hubinger’s comments lies less in the numerical estimate itself than in the admission that a leading AI laboratory has not yet established a definitive method for controlling hypothetical superintelligent systems. Such assessments remain inherently uncertain because the technology in question does not yet exist in the form being described.

The immediate issue for researchers and policymakers is therefore whether alignment methods can mature before AI systems reach the capability levels markets that make those safeguards most critical. Anthropic’s ongoing safety research and future evaluations will provide a key test of whether the company can close that gap.

Writer: Victoria Hale
Technology & Blockchain Writer

Victoria Hale writes about blockchain technology, digital infrastructure, and the intersection of emerging technologies with finance. Her articles explore how new protocols and systems are shaping the evolving digital economy.

She prioritises clarity and accuracy when explaining technical developments to a general audience.