General AI is Overrated: Why 'Vertical AI' is the Real Revolution (Insights from a 30-Year Vet)


I’ve spent 30 years watching tech trends come and go. The ones that stick usually share one thing: they solve a specific problem better than everything before them.
That’s why Vertical AI (also called Industry-Specific AI) is such a massive shift. Instead of using one general-purpose AI for everything, Vertical AI is trained and tuned for a single field—like healthcare, finance, retail, or manufacturing.
Think of it like this:
- General AI is a "Swiss Army Knife." Useful, but not perfect for every task.
- Vertical AI is a "Scalpel." Built for one job, so it’s faster, more accurate, and easier to trust.
This shift is happening because industries don’t just want clever chat—they want reliable results inside their actual workflows.
Healthcare: When AI Helps Doctors See What’s Easy to Miss
Healthcare is one of the clearest examples of why specialization matters.
1) Heart conditions from a standard 10-second ECG
A standard ECG (often recorded in about 10 seconds) is one of the most common heart tests in the world. What’s new is how AI can extract patterns that are hard for humans to spot quickly.
For example, researchers at the University of Michigan developed an AI model that helps detect coronary microvascular dysfunction using just a standard 10-second electrocardiogram. This supports hospitals that may not have advanced imaging equipment in every room.
Why this matters to you: Earlier detection means earlier treatment—and fewer cases where someone is told "everything looks normal" when it actually isn't.
2) Rare diseases: Making sense of genetic "spelling differences"
Your DNA is like a massive instruction book. Small changes—called genetic variants—are common. The hard part is figuring out which variants are harmless and which ones actually cause disease.
New AI tools are helping doctors:
- Rank which variants are most likely to be harmful.
- Speed up diagnosis for rare, single-variant genetic diseases.
Harvard Medical School recently highlighted an AI model called popEVE, designed to predict how likely a variant is to cause disease. Separately, Newcastle Hospitals NHS Foundation Trust used research to identify variants in 69 genes previously unknown to be linked with rare diseases—exactly the kind of "needle-in-a-haystack" work AI is perfect for.
Reality Check (From Experience): In medicine, AI is best used as a co-pilot, not an autopilot. It highlights risks and patterns, but clinicians still confirm, interpret, and make the final call.
Consumer Tech: Smart Glasses Are Becoming "Everyday AI"
Now let’s talk about something you can actually wear.
Meta: Translation + "What am I looking at?" + Better Hearing
Meta’s Ray-Ban Meta glasses have been rolling out features that feel like science fiction. They offer live translation (turning speech into another language in real-time) and "look-and-ask" features where you can ask questions about what you’re seeing.
Recently, they rolled out Conversation Focus, which uses the glasses’ microphones to amplify the voice of the person you’re talking to while reducing background noise—essentially "augmented hearing."
Why normal people care:
- Travelers hear and understand locals faster.
- Noisy cafés and restaurants become less exhausting.
Alibaba: Quark AI Glasses Enter the Race
Alibaba has launched Quark AI glasses in China, powered by their Qwen AI model. They position these as an "assistant you wear," featuring live translation and price recognition, integrated deeply with apps like Alipay and Taobao.
Note: While both products offer translation and assistant features, Meta is currently leading the charge on the "noise filtering/augmented hearing" front specifically.
The Simple Reason Vertical AI Is Winning
After 30 years in the field, here’s the honest truth: Industries don’t want AI that is "kind of good" at everything. They want AI that is perfect for their work.
Vertical AI is winning because it offers:
- Better Accuracy: It's trained on the right data, not just the whole internet.
- Clearer Answers: It understands industry context.
- Easier Adoption: It fits into tools professionals already use.
Mini Glossary (No Jargon)
- Vertical AI: AI built specifically for one industry (e.g., only for doctors, or only for lawyers).
- ECG/EKG: A heart test that records electrical signals (usually takes ~10 seconds).
- Genetic Variant: A small change in DNA; most are harmless, but some cause disease.
- Object Recognition: AI identifying exactly what it "sees" through a camera lens.
- Augmented Hearing: Tech that boosts specific sounds (like speech) and reduces background noise.





