A paper published in the Proceedings of the National Academy of Sciences proposes that artificial intelligence has quietly acquired the three conditions sufficient for natural selection to operate: replicable information, variation, and differential success. Evolutionary biologist Eörs Szathmáry and colleagues argue this may place humanity at the threshold of a major evolutionary transition — one of only seven or eight such ruptures in the entire history of life on Earth. The question being raised is not whether AI can evolve, but whether human beings will consciously direct that evolution or
Evolvable AI Could Trigger Major Evolutionary Transition, Scientists Warn
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Geopolitical Impact
Scientists warn that AI systems meeting evolutionary conditions could undergo natural selection, potentially triggering a major evolutionary transition with unpredictable global consequences.
Shifts control of AI development from human governance to evolutionary processes; nations with advanced AI capabilities gain asymmetric advantage; potential decoupling of AI progress from human oversight creates new power centers independent of traditional geopolitical actors.
Similar to the emergence of nuclear technology—a transformative force requiring unprecedented international coordination and governance frameworks to prevent catastrophic outcomes.
Economic Lens
Evolvable AI systems meeting natural selection conditions could trigger major evolutionary transitions, with significant implications for technology markets, regulatory frameworks, and economic uncertainty.
Consumers face uncertain outcomes: potential benefits from rapidly advancing AI capabilities and services, but also risks from uncontrolled AI evolution including system failures, security vulnerabilities, and unpredictable AI behavior. Insurance and safety-critical services may become more expensive.
Governments likely to implement stricter AI governance frameworks, mandatory oversight mechanisms, and evolutionary constraint requirements. Potential for international AI regulation treaties. Increased compliance costs for AI developers. Possible restrictions on autonomous AI system deployment without human supervision.