#Strategy·3 min read

Use AI to find the expert, not to replace one

The headline and the record

Rosie, a rescue dog in Australia, had a mast cell tumor that surgery and chemotherapy had failed to stop. Some coverage turned what followed into a story about AI curing cancer. The accounts from the people who did the work are narrower, and more useful to anyone running a team.

What the AI did

Her owner, Paul Conyngham, works in machine learning and has no background in biology. As Decrypt reports it, ChatGPT helped him plan the approach: he would need tumor tissue and healthy tissue sequenced, and these were the institutions and equipment that could do it.

What the specialists did

A genomics team at the University of New South Wales, initially skeptical of the request, sequenced the genome in roughly ten days. UNSW's RNA Institute, led by Professor Pall Thordarson, assembled an mRNA vaccine, its first for cancer. Veterinarians at the University of Queensland administered it. Some tumors shrank and her mobility improved; others did not respond. Because the vaccine was given alongside a second drug, the effects cannot be separated, and Thordarson has said plainly: "This may not have cured Rosie."

The capability worth building

The transferable skill is the first map, not the science. Every organization regularly needs expertise it does not hold: a regulatory question, a specialist data problem, a contract in an unfamiliar field. The slowest part of those engagements is often the beginning, when nobody knows what the expert will need or where such people work.

A team that uses AI to prepare that brief, covering what the specialist will ask for, which kinds of firms do the work and what to have ready, reaches the first conversation faster and better equipped. The discipline is in the step after: put the map in front of someone in the field and ask what it got wrong before anyone relies on it.

That first brief is a learnable habit: Practice briefing yourself before you brief an expert →

Keep reading: Navigation, not generation · Her own data was the one input nobody else had

This is the thinking behind a Trusted AI Culture.


Sources: Decrypt, "Did ChatGPT Really Cure a Dog's Cancer? It's Complicated," March 16, 2026. The Scientist, "ChatGPT and AlphaFold Help Design Personalized Vaccine for Dog with Cancer."

Written with AI in the loop: my idea, AI drafted and sharpened, my judgment on the way out. Every word is mine to stand behind. — Darren

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