Apple's AI health coach is live. Google's has been in the market for months. For the first time, two of the largest technology companies in the world are selling something that looks, at a glance, like what health and fitness practitioners do.
It is easy to read this as a threat. It is more accurately read as validation, and as useful information about where the market is heading and how practitioners should position in it.
What Apple and Google Have Actually Built
Both products are real and genuinely useful. Apple Health Coach integrates with Apple Watch data to deliver personalized activity recommendations, recovery nudges, and trend analysis based on heart rate variability, sleep quality, and movement patterns. It learns from wearable data over time and adjusts its guidance accordingly. For an Apple Watch user, it means a coaching layer that is always on, always available, and deeply integrated into their daily tracking ecosystem.
Google's AI Health Coach, available at $9.99 a month for Fitbit and Pixel Watch users, does similar work with the addition of food logging via photo recognition and around-the-clock health Q&A. Both products are shipping to hundreds of millions of people, not to a niche early adopter market. These are mass-market products at mass-market prices, designed to reach the broadest possible audience.
They will reach that audience. That is worth taking seriously.
Why Mass-Market AI Health Tools Expand the Market Rather Than Shrink It
The people most likely to engage with a $9.99 AI health coach are not, by and large, the same people who book sessions with experienced practitioners. They are people who were not accessing any form of structured health support before. Some of them will get meaningful value from the app alone. Others will get enough of a taste of what structured, personalised guidance feels like that they will start looking for more.
Health engagement is not a fixed-size pie. When more people develop a habit of tracking their sleep, thinking about their food, and paying attention to recovery signals, more people become aware of what they do not know and what they might need a real expert to help them with. That awareness creates the market that practitioners live in.
The question is not whether Big Tech will reach more people than any individual practitioner can. It will. The question is what those people do next.
The Practitioner Skills That Do Not Automate
The AI models behind Apple and Google's health coaching products are sophisticated. They are also pattern-matching against aggregate population data. What they cannot do is develop clinical judgment from knowing a specific person over time.
A practitioner notices that a client has lost three kilograms over six weeks but seems more anxious and less engaged, not more energised. A practitioner knows that the client who is suddenly booking more frequently is probably going through something, and asks. A practitioner adjusts the plan not because the data changed but because a person walked in the door differently today than they did last week.
These observations do not come from wearable data. They come from sustained attention to a specific human being over time. That is not a workflow. It is not a feature. It is the core of what practice actually is, and it does not have a software equivalent.
How to Think About Positioning
The practitioners who adapt well to this environment are not the ones who panic or the ones who dismiss the competition entirely. They are the ones who get clear about the distinction between what they offer and what the apps offer, and who communicate that distinction clearly.
Scale is what Big Tech does. Depth is what practitioners do. These are genuinely not the same product. A client who uses an AI health coach app every day and works with a skilled practitioner every week is not choosing between two things. They are using two different tools for two different purposes.
Know which one you are. Say it clearly. That clarity is itself a form of competitive advantage in a moment when the market is still figuring out what AI health tools are actually for.
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