Scientists at Stanford University and the Arc Institute have used artificial intelligence to design entirely new viruses capable of infecting and destroying bacteria, a scientific first that researchers say could open new paths for fighting drug-resistant infections while simultaneously reigniting debate over how quickly biotechnology is outpacing the safeguards meant to govern it.

The research, published this week in the journal Science, marks the first time scientists have used AI not simply to tweak existing viral genomes but to generate functional, previously unseen viruses from scratch, built entirely from patterns the AI learned by studying genetic sequences drawn from millions of organisms across the natural world.

Moving Beyond Copying Nature

For years, scientists have been able to synthesize viruses in the lab, typically to develop and test antiviral drugs and vaccines or to better understand how these microorganisms behave. That earlier work, however, relied almost entirely on replicating known pathogens or their existing variants. The new study represents a meaningful departure from that approach, using AI to generate genuinely novel genetic blueprints rather than working from a template drawn directly from nature.

The research team worked with bacteriophages, viruses that infect only bacteria and are increasingly viewed as a promising alternative to antibiotics in the fight against drug-resistant infections. Because bacteriophages have relatively small, comparatively simple genomes, they are easier to synthesize and manipulate under controlled laboratory conditions than viruses capable of infecting humans or other complex organisms.

How the AI Models Were Built

The viruses were generated using Evo 1 and Evo 2, foundational AI models developed specifically for computational biology applications. Both systems were........

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