AI-designed viruses are medicine's next hope, not its next threat

Key points

• Rutherford Appleton Laboratory, home to the world's most intense source of pulsed muons, faces closure under UK Research and Innovation budget cuts.
• Muons, subatomic particles, help scientists study magnetism, superconductivity and battery materials, with direct real-world applications.
• Bacteriophages, viruses that kill bacteria, have been used in medicine for more than 100 years and can already fight drug-resistant infections.
• AI is now being used to engineer bacteriophages into more effective treatments, a use that some scientists say deserves enthusiasm, not alarm.

Two letters published by The Guardian this week cut through a pair of ongoing UK debates, one about science funding and one about AI in medicine, and make a case for proportion.

What is being lost in the UK funding cuts?

Most of the public attention has gone to Jodrell Bank, the famous radio telescope in Cheshire. But Oxford physicist Prof Stephen Blundell points to a second casualty that has received far less coverage.

The Rutherford Appleton Laboratory in Oxfordshire hosts the world's most intense source of pulsed muons. Muons are subatomic particles, heavier cousins of electrons, that scientists fire into materials to study their inner structure. The technique reveals how atoms behave in magnets, in superconductors (materials that carry electricity with zero resistance, which could transform energy grids), and in the new battery chemistries the clean-energy transition depends on.

Blundell argues the facility is genuinely unique. No other country runs an equivalent machine at the same intensity. UK researchers built the global expertise around it. Losing the lab would not just cost jobs; it would hand that scientific lead to other nations and leave questions about next-generation energy storage without one of their best tools.

Should people fear AI-designed viruses?

Short answer: no, at least not these ones. The concern is understandable, but the framing is wrong.

Peter Forbes, writing from London, responds to recent headlines warning of "safety fears" around AI-designed viruses. The viruses in question are bacteriophages, often called phages for short. A phage is a virus whose only target is bacteria; it cannot infect human cells. Doctors have used phages as medicine since the early 1900s, long before antibiotics existed.

The reason they matter again now is drug resistance. Bacteria are evolving faster than new antibiotics can be developed, and phages can kill strains that no drug will touch. The problem is that natural phages are finicky; a phage that attacks one bacterial strain may ignore another. Engineering them to work more reliably and broadly is a challenge scientists have pursued for decades.

That is where AI comes in. Machine-learning models can scan enormous libraries of phage genomes, spot patterns humans would miss, and suggest modifications that make a phage more effective or more adaptable. Forbes argues this is precisely the kind of problem AI should be solving, one where the potential benefit to patients is large and the underlying science is already well understood.

His frustration is with the reflex to frame any AI-in-biology story as a threat before the evidence warrants it.

What readers should watch for

If you see a headline about AI creating new viruses or organisms, ask two questions before sharing it. First, what does the thing actually do? Bacteriophages target bacteria, not people. Second, what is the existing safety record? A technology used clinically for over a century is not a blank-slate risk.

For the funding story, the detail to watch is which facilities appear in budget announcements only as line items, with no public name attached. Jodrell Bank survived partly because the public knew what it was. Facilities like the muon source at Rutherford Appleton may not get that chance.