Here is what I’d tell a patient, in plain words. Somewhere right now, a spreadsheet is grading your exercise routine — and it is not a fitness coach. Your movement data is becoming insurance pricing material, and the shift is moving faster than most people realise.
Let me be specific about what happened, because the details matter. A leading fitness-tracking app disclosed in its mid-year results that it is working with insurers and other third parties to turn exercise data, movement-risk assessments and its AI capabilities into customised solutions. In June, a major fitness chain and a big health insurer announced a partnership built around exercise-linked health benefits and user incentives, exploring co-branded products. And this did not start this year: pricing models based on verified movement behaviour already exist in the market.
As a doctor, I read this two ways. The hopeful way is that insurers are finally paying for prevention instead of just paying for disease. The sober way is harder to put aside: your health premium is starting to depend on data about your life that you may not control, may not see, and may not be able to correct.
Let me be fair about the upside first. The honest answer is that there is real upside. When an insurer rewards a person who walks eight thousand steps a day, that is a premium discount with a health benefit attached. Verified movement behaviour is actually one of the better predictors of long-term health — more honest than age, more actionable than family history. Used well, this data could nudge entire populations toward activity, and that would be a genuine public-health win. I would not want to wave that away just to sound clever.
But the clinic teaches a second lesson, one about incentives. No false certainty here: I do not have this fully figured out, and neither does anyone else yet. What I do know is that when a behaviour gets a price tag, people start gaming the measurement. If your steps lower your premium, you will walk with your phone in your hand at eleven at night to hit the number. The data stops measuring your health and starts measuring your compliance with a metric.
That is the part I started writing this piece about, and then I had to stop and revise my own framing. I wanted to write “exercise data is being weaponised against patients.” No — that is not quite right. It is being priced. There is a difference between a hostile act and a commercial one, and conflating them makes it harder to see what is actually at stake.
There is a business logic underneath all of this that patients should understand, because it explains why the partnerships are appearing now rather than later. Insurers want pricing signals that are continuous, verifiable and hard to fake — and a fitness tracker worn daily is a better source than a questionnaire filled out once a year. The app, for its part, gains a reason to be opened every day: when movement earns a premium discount, the habit becomes sticky by design. I do not want to be cynical about it — mutual benefit is how markets usually work — but it is worth naming that your health record now serves two masters: your clinician, and a pricing model.
The three questions nobody has answered cleanly
What is at stake is a list of questions. Let me walk through them the way I would walk a patient through a decision at the clinic. First question: is the data voluntary? If the discount is big enough, “voluntary” becomes a formality. Second question: what happens when you stop? A person who exercises because they love it can stop without financial penalty. A person whose premium rises the month they go quiet has been turned into a tenant of their own workout log. Third question: who sees the data, and who corrects it? Your step count can be wrong — a watch on a wrist, a phone in a bag, a day the tracker died at noon. Errors in a medical record can be corrected. Errors in a pricing model have no appeals process.
The third question is the one I worry about most as a clinician. When your phone reports that you walked four thousand steps on a Tuesday, that is a fact about your phone. Whether it is a fact about your health is a separate question, and the answer is often no. The app does not know about the slipped disc that kept you on the sofa for a week, or the chemotherapy that made the gym feel impossible, or the newborn who ended the concept of sleep. None of that shows up in the spreadsheet, but all of it is health.
One graph that told the wrong story
A concrete moment stays with me here. A few months ago a man in his sixties came in, proud of his new smartwatch and its monthly activity report. He showed me the graph — a beautiful, steady line, five hundred steps every day, without exception. “See, I’m active,” he said. What the graph could not show was that he had been walking only from the bedroom to the living room. The line was real. The activity was not. If that graph had been feeding a premium, the insurer would have seen “active patient” and he would have seen a discount — and neither would have been seeing the truth.
This is why I keep coming back to plain words when I think about exercise-linked insurance. In plain words: the mechanism is the message. A product that rewards genuine, verified, varied activity is different from a product that rewards one metric gamed to a number. The former is health policy with a discount attached. The latter is a behavioural trap with better branding.
The second opinion I would offer
And there is a family version of this conversation that parents need to hear too. When a child’s school suggests a fitness wristband, and a year later that same data stream could sit inside a household insurance quotation, the adult decision is being made now, not later. I am not against children moving — I am against quietly building a pricing record out of a child’s recess. That deserves a slower conversation, in plain words, before anyone connects anything.
The second opinion I would offer — and this is the part I want every patient to take home — is that you are not only a data point. You have a body with a history, and the history is not in the dataset. If an insurer ever asks you to connect your activity account, treat it the way you would treat a stranger asking for your bank password: politely, and with a long pause.
The rulebook has not caught up
The regulatory piece is only beginning. In plain words, the rulebook has not caught up with the spreadsheet. There are standards for how medical data is handled, but exercise data sold by an app is a much greyer category — it is health data in disguise, wearing a fitness label. Whether it gets the protection it deserves will depend on decisions being made right now, and most of them are being made quietly, far from any waiting room.
There is also an actuarial question that nobody is discussing in public, and it will decide everything. When a pricing model rewards activity, it is implicitly penalising inactivity — and inactivity clusters with illness, poverty and age. A young, healthy, walk-to-work professional will collect discounts easily. A person with a chronic condition, a physical disability, or a job that chains them to a desk for twelve hours will not. I am not saying insurers intend to price sick people out; I am saying the incentives are designed to sort people, and sorting by movement is sorting by the very factors the model cannot see. In plain words: the discount machine will be easiest to ride for the people who need it least.
Let me also correct something I almost wrote. I was about to tell you to “just opt out.” But the honest answer is that opting out is not always available, and not always wise. If exercise-linked pricing becomes the norm, declining to share could itself become a risk factor — the patient with nothing to show looks riskier by default. That is a perverse incentive baked into the design, and it needs naming before it needs fixing.
What to do while the question is still open
A quick word on the tone of my advice, because I want to be honest about my own uncertainty. I wrote this piece, then sat on it for a day, then came back and softened several sentences — partly because the technology is genuinely promising, and partly because I have been wrong about technology before. I am not predicting catastrophe. I am describing a fork in the road that is already here: one path leads to exercise data as a careful, consensual health tool; the other leads to it as a silent pricing input. Which path we take is being decided in the fine print of contracts being signed this year. And a word about children, because this is where I get asked the most questions: a school fitness programme is wonderful, a wearable that tracks a child’s steps is fine, and the problem begins when those numbers migrate into any kind of financial decision. A child cannot consent, and parents rarely read the full data-sharing terms at seven in the morning. My advice, in plain words: keep the incentive for movement, but keep the pricing separate from the playground.
So where does this leave a person who wants straight answers? Three practical things. First, read what you are signing before you connect any activity account to anything financial — assume the consent form does what it says, and exactly what it says. Second, keep a record of your own health reality: if your data is ever challenged, you want your own version on paper, not just the app’s version in the cloud. Third, ask the insurer directly: does my premium depend on this data? And if yes, ask the follow-up: who can see it, and how do I correct it? A company that cannot answer the second question cleanly is not ready to ask the first.
I do not want to end with alarm. Exercise is good for you; that is one of the few certainties in medicine. The concern is not activity being rewarded — the concern is a system that prices activity without understanding the person attached to it. In plain words: reward the behaviour, fine. But do not pretend the data is the whole person, and do not let the discount become a door for a stranger into your medical life.
The line I would leave you with is this: no false certainty is worth more than a confident guess — and the confident guess here is that movement data will keep flowing into pricing, whether or not anyone asks first. The question worth asking is not “is it coming?” It is “who gets to explain your data when it is wrong?” Because in the clinic, the patient always gets to explain. The spreadsheet does not.