What a Viral Dog Story Has to Do With Your Business
You’ve probably seen the headline: an Australian tech entrepreneur used ChatGPT to design a personalised cancer vaccine for his dog. The dog’s tumours shrank. The story went viral. And now the same person has launched a startup, backed by one of the world’s most famous tech incubators, promising to treat other pets — and eventually humans — the same way.
If you run a small business in Malaysia, this kind of story makes you feel two things at once. First: “AI is clearly powerful, maybe I should be using it more.” Second: “If AI can design a cancer vaccine for a dog, why is my payroll still giving me a headache?”
That gap between the hype and your daily reality is exactly what this story can teach you — if you look past the headlines.
TL;DR: A non-biologist used AI to attempt something that looks like a medical breakthrough, and it attracted serious startup backing. The reality is shakier: researchers say the AI’s exact role is unclear, and the dog’s vaccine was given alongside another treatment, so nobody can say what actually worked. For your SME, the lesson is to use AI boldly on things you’ve never done — but verify honestly before you build a system around one impressive result.
What This Means
Paul Conyngham, the founder of Gamgee, is upfront that he is “not a biologist”. He says he used ChatGPT, Grok, and other AI tools to design a personalised mRNA cancer vaccine for Rosie, his Staffordshire bull terrier-Shar Pei mix. He reported that several of her tumours shrank, and he credits that intervention with adding years to her life.
That part is a familiar story: someone with no formal training uses AI to move far beyond their expertise. But when The Verge looked closer, the medical reality got messier. Researchers said the broad claims gave the technology too much credit while minimising the human role. And because Rosie’s vaccine was administered alongside another therapy, it’s impossible to tell whether the vaccine was responsible for her improvement.
None of that stopped the startup’s momentum. Gamgee is backed by Y Combinator. It is recruiting for its first clinical trials in Australia, with a waitlist open elsewhere. On its website for veterinarians, it touts a roughly 75 per cent tumour reduction in its first documented case, promises it will require less than 20 minutes of a vet’s time, and says vets can get a finished vaccine in around four weeks — while cautioning that this is based on a single case and may vary.
How This Applies to Malaysian SMEs
Start with the useful part: you don’t need to be a specialist to begin. The Gamgee founder is not a biologist, and he still used AI to navigate around genomics, vaccine design, and clinical trials — all far beyond his starting point. The same logic applies to your work. You don’t need to be a copywriter to draft a product description, a designer to create a banner, or an accountant to build a cash flow forecast. All you need is to know your own business well enough to tell the tool what goal you’re aiming for. That barrier has never been lower for a small business owner.
But the dog vaccine story also exposes the danger of misattribution. Rosie got the vaccine and another treatment at the same time. When she improved, there was no way to know which one caused it. Malaysian SMEs do this all the time. You change the packaging, launch a new advert, and adjust your service hours all in the same week. Sales go up. Which change did it? You don’t know. So you repeat the “winning formula” — but it was never a formula, it was three variables mixed together. Next month it doesn’t work, and you blame the economy.
The fix is to run one change at a time. If you want to try AI-generated marketing copy, change only the copy. Keep the channel, the timing, and the offer the same. Measure before and after. That isn’t slow — it’s the difference between collecting data and collecting stories. A single-variable test for two weeks will tell you more about whether AI works for your business than a year of guessing.
There’s a fourth lesson, and it’s about attention. Why did this story turn into a startup instead of staying a blog post? Because a good story — a lovable dog, a scary disease, and a miracle from AI — attracts backers. Malaysian business owners often overlook honest storytelling as an asset. When you try something new with AI, even a small win, document it. Show your team or your industry community what you tried, what happened, and what you’d do differently. That kind of transparency builds trust. And trust opens doors, whether for clients, partners, or potential investors.
The problem isn’t using AI to do something you’ve never done. It’s believing the result without checking what else changed at the same time.
The Claim vs. The Reality
Here’s how to read any impressive AI claim you see — not just this one:
| The claim in the story | What a closer look shows |
|---|---|
| Roughly 75% tumour reduction in the “first documented case” | A single case carries no statistical meaning. It’s a clue, not a pattern. |
| A finished vaccine in around 4 weeks | The company itself says this is based on one case and may vary. |
| AI designed the vaccine | Researchers say the AI’s role was unclear, and the human work was understated. |
| The vaccine shrank the tumours | It was given alongside another therapy, so the cause cannot be isolated. |
That table isn’t here to dismiss the company or the dog. It’s here to show you how to read any impressive claim — including the ones you’ll see about AI tools for your own industry.
Practical Takeaways
- Pick one repetitive task — booking follow-ups, writing quotes, drafting social media captions — and try AI on it for a week. Keep everything else in your workflow unchanged.
- Change one variable at a time. If it’s AI copy, change only the copy. Measure against last week’s numbers.
- Write down what the AI actually produced and what you or your staff still had to fix. That honest note tells you whether the tool saves work or creates new work.
- Before adopting any tool, ask: how many documented cases is this based on? A vendor’s single “success story” is not evidence.
- Keep a simple log of your experiments. Six months of careful before-and-after records will teach you more than any viral headline.
The Bigger Picture
The long-term trend is not that AI will cure dog cancer by itself, or write perfect ads by itself. It’s that AI is lowering the barrier to expert-level work. A non-biologist can now attempt genomics. A kiosk owner can attempt a proper marketing strategy. A food business owner can attempt demand forecasting. That is genuinely exciting for Malaysian SMEs.
But when everyone can claim “AI did it,” the scarce skill becomes honest judgment. The business owners who win in the next five years won’t be the ones who believe the most impressive headline. They’ll be the ones who test diligently, document carefully, and stay politely sceptical — of AI claims, vendor promises, and even their own unusually good months.
So if you take one thing from a dog vaccine startup, let it push you to try something new this week. But let the messy science behind it keep you honest.
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