Your Smartwatch Doesn't Know What a Good Life Is

Your Smartwatch Doesn't Know What a Good Life Is

A person pacing, surrounded by glowing screens tracking every move, yet feeling empty.

16 min read

Your phone can tell you exactly how many steps you took today. It has no idea what any of them were for.

This post draws on Daoist philosophy from the Daodejing to explain why AI-driven optimisation culture leaves so many of us anxious and empty, then offers five concrete ways to find purpose beyond the metrics.

At 6:47am, a smartwatch buzzes. It says your sleep score was 64 out of 100 and suggests you delay your coffee by 42 minutes to match your cortisol curve. By 9am, an AI assistant has already drafted your emails and a dashboard is quietly counting your keystrokes. By 9pm, a health app tells you that you're 2,400 steps short of today's target, so you pace round the living room until the number changes.

None of this is science fiction. It's just Tuesday.

We now live inside a culture that treats human life as something to be tuned, like an engine. Every habit, every hour, every heartbeat can apparently be optimised. And yet, somehow, a lot of people who follow every recommendation their apps give them still feel hollow.

That gap, between doing everything "right" and still feeling lost, is worth stopping on. It's also exactly the kind of problem Daoist philosophers were thinking about more than two thousand years before anyone invented a step counter.

The Optimisation Trap

AI has made optimisation the default setting of modern life, not just a hobby for productivity nerds.

At work, AI tools draft your emails, summarise your meetings and predict which tasks will run late before you've even started them. A project manager can let an algorithm allocate the team's time, which sounds efficient, right up until you realise the algorithm has no opinion on whether the work is worth doing in the first place.

Performance tracking has quietly moved from the annual review into every hour of your day. Sales reps watch live conversion dashboards. Developers get graded on lines committed. Delivery drivers are timed down to the minute. AI doesn't just record this data anymore, it predicts who's about to quit based on it.

Life-hacking culture then takes this same logic and applies it to the hours you're not being paid for. Sleep, diet, reading, even how you spend a Saturday, all of it gets a "system." An app will happily plan your ideal morning routine for you, as if a morning could be optimised the way you'd optimise a spreadsheet.

And then there's you, quite literally. Fitness trackers, glucose monitors and sleep apps have turned your own body into a live data feed. Someone discovers their focus peaks at 10am, so they rearrange their whole day around a number on a screen, treating a passing observation as if it were a law of physics.

Why This Makes Life Worse, Not Better

Here's the problem: efficiency is a wonderful servant and a terrible master.

AI is very good at measuring things that can be counted. It's completely useless at measuring the things that actually make a life worth living: love, friendship, creativity, a sense of wonder, plain old moral character. None of that fits in a dashboard.

At work, this shows up as burnout. Productivity might tick upward while job satisfaction quietly collapses, because employees feel watched every minute of the day, not trusted for a single one of them.

Students hand their revision over to AI planners and start optimising for grades instead of learning anything they actually care about. Curiosity, which doesn't show up on a spreadsheet, is often the first casualty.

Even rest gets colonised. A holiday gets judged by how "productive" or "educational" it was. A hobby only counts if it improves something measurable. You stop asking "did I enjoy that?" and start asking "was that an efficient use of my time?", which is a genuinely strange question to ask about a walk in the park.

Health trackers do the same thing to your body that dashboards do to your job: they replace your own judgement with a number. Instead of listening to how you actually feel, you check whether the app agrees with you.

What Laozi Would Say About Your Fitness Tracker

The Daodejing ("The Classic of the Way and Virtue") is traditionally attributed to the legendary philosopher Laozi, though scholars think it was penned by many anonymous writers over centuries. Here, “Laozi” refers collectively to all its authors.

This short, brilliant book says that you cannot optimise your way to a good life.

Chapter 57 states it plainly: "The more prohibitions and restrictions there are under Heaven, the poorer the people become. The more sharp implements the people possess, the more disorder the state falls into" (Daodejing, ch. 57). Laozi is describing a state that tries to govern through ever tighter control, and finding that control breeds exactly the chaos it was meant to prevent.

So what does that mean for your inbox? Think of workplace tracking software as a modern "sharp implement." It doesn't ban you from taking a break, but it makes every break look like a risk, so people stop taking them. Productivity goes up on paper while burnout, dignity and creativity quietly erode underneath it. Laozi called this poverty. We might call it a KPI.

Some companies now run platforms that log keystrokes, screen time and idle minutes, flagging anyone whose pattern drifts from the baseline. Employees learn to keep the mouse moving even when they're thinking, not typing, because thinking doesn't register as productive. Output may climb for a while, but the workforce underneath it grows quietly exhausted, which is a fairly precise modern illustration of Laozi's claim that more restrictions leave people poorer, not richer.

Chapter 65 goes further, warning that governing "through cleverness" (zhi, 智, meaning strategic calculation or manipulative intelligence) is "a bane to the state," while governing without it is "a blessing" (Daodejing, ch. 65).

Picture an AI study planner that assigns a student a rigid revision schedule built around predicted exam scores. The system is governing through cleverness exactly as Laozi described: it designs incentives, predicts behaviour and nudges the student toward a target. Give it long enough and the student stops learning for the sake of learning and starts gaming the system instead, which is precisely the "bane" Laozi was warning rulers about, just wearing a school uniform.

Some schools have gone further still, using AI to predict which students are likely to underperform and adjusting their timetables accordingly. It sounds helpful in theory. In practice, students who know they've been flagged often internalise the label, and the prediction quietly becomes self-fulfilling. Laozi would probably say the school has become too clever for its own good, and that a simpler, more trusting approach would have served the students better.

Cutting Off Cleverness

Chapter 19 is the most provocative of the three: "Cut off sageliness, abandon cleverness, and the people will benefit a hundredfold... Cut off clever skill, abandon profit, and thieves and robbers will disappear" (Daodejing, ch. 19).

Laozi isn't attacking virtue here. He's attacking the performance of virtue, the version of goodness that's really just compliance dressed up in nicer language.

In practice, this is your smartwatch. AI optimisation has quietly become a new kind of "sageliness," a false authority that tells you how to live based on what a model can measure. When you check your ring's readiness score before deciding whether you're allowed to feel tired, you've outsourced a judgement that was always yours to make.

Laozi's line about "thieves and robbers" disappearing isn't really about crime. It's about the small, private thieves of greed, anxiety and comparison that a metric-obsessed culture breeds in every one of us. Take away the metric, and a surprising amount of that anxiety goes with it.

Character Architecture: Building a Self AI Can't Optimise

Here's a distinction worth sitting with: compliance and character are not the same thing, even though optimisation culture treats them as interchangeable.

A compliant worker hits every metric a dashboard sets for them. A person of character does the right thing even when nobody, human or algorithm, is watching. Laozi's entire critique of "cleverness" in Chapters 19 and 65 is really a critique of mistaking the first for the second.

Think about honesty. An AI performance system can measure whether you submitted a report on time. It cannot measure whether the numbers in that report are true, whether you cut a corner nobody would notice, or whether you told a difficult truth to a manager who didn't want to hear it. Those are matters of character, and they sit entirely outside what any dashboard tracks.

This is where the Daoist project quietly overlaps with Aristotle’s idea in the Nicomachean Ethics: that virtue is built through repeated practice, not through following external rules. You don’t become patient by reading about patience. You become patient by practising patience in situations that tempt you not to be.

The same logic applies to living with AI. You don't build the kind of inner steadiness that resists optimisation by installing an app that promises balance. You build it the slow way, through small, repeated choices to value what a machine can't see: honesty over convenience, curiosity over compliance, presence over performance. That's cultural synthesis in practice, borrowing the Daoist suspicion of cleverness and pairing it with the Aristotelian idea that character is a habit, not a download.

The Daoist Fix: Wú Zhì and Wú Yù

If the diagnosis is that we've built a culture obsessed with cleverness and desire, Laozi's remedy has a name, or rather two names: wú zhì (無知, freedom from contrived, calculating knowledge) and wú yù (無欲, freedom from excessive desire).

These aren't slogans for a productivity app, thankfully. They're closer to an operating philosophy for a life that refuses to be reduced to a scoreboard.

Chapter 3 says the sage governs "by emptying their minds, filling their bellies, weakening their ambitions, and strengthening their bones," keeping people free from contrived knowledge and excessive desire "so that the clever do not dare to interfere" (Daodejing, ch. 3).

Today, this looks like turning off the leaderboard. Apps love to show you "top performers" and curated highlight reels, because comparison keeps you opening the app. Laozi's advice is almost absurdly simple: stop displaying the things that make people want more than they need, and their hearts settle on their own.

Chapter 46 adds the emotional core of the whole philosophy: "There is no greater misfortune than not knowing contentment. There is no greater fault than the desire to acquire. Therefore, the contentment that comes from knowing when enough is enough is enduring contentment" (Daodejing, ch. 46).

This is basically the Daoist version of realising the video game you're playing has no ending screen. AI optimisation is built on infinite growth: more data, more efficiency, more followers, one more percentage point. In real life, this is seen in the fitness app user who never celebrates a good night's sleep, only mourns the nights that fell short. Laozi would tell that person the problem isn't the sleep. It's the scoreboard.

Chapter 64 finishes the thought: the sage "desires not to desire" and "learns what is not conventionally learned," restoring "what others have overlooked" (Daodejing, ch. 64).

Practically speaking, this is choosing the unmeasured hour over the measured one. An afternoon spent wandering a city with no destination, or sitting with a friend with your phone face down, produces nothing an algorithm would ever flag as valuable. Laozi thought that was rather the point.

What AI Simply Cannot See

Wú zhì and wú yù matter because they protect exactly the things AI is structurally blind to.

Inner contentment can't be quantified, because it's a feeling of "enough," not a score. Imagine a fitness app that let you set your own "enough" instead of a fixed step count, with no badge and no streak, just your own sense that today's walk was sufficient. That's wú yù in an app icon.

Creativity needs unstructured time to breathe, not a goal-directed sprint toward a deadline. A school that swaps a rigid AI lesson plan for an open "mystery hour," where students simply follow a question wherever it leads, is putting wú zhì into practice: a mind left open to not-knowing, rather than one trained to calculate.

Real relationships run on presence, not on metrics. A social platform that hides follower counts and replaces them with slow, private conversation is betting that people connect more honestly when nobody's counting. Early evidence from platforms experimenting with this suggests users do feel calmer, less performative, once the numbers disappear.

None of this means throwing your phone in a lake. It means refusing to let a number decide what "enough" looks like for you.

Moral character, too, resists measurement, and this is really the same point as before, seen from another angle. A company can score how quickly you resolve a customer complaint. It has no way of scoring whether you resolved it kindly, or whether you told an inconvenient truth when a comfortable half-truth would have hit the same metric. The intellectual habit of sitting with a hard text like the Daodejing, turning its ideas over rather than skimming a summary, is itself a small act of resistance against a culture that wants everything, including wisdom, delivered instantly.

Living Wú Zhì and Wú Yù in an AI World

In an optimisation-obsessed culture, choosing wú zhì and wú yù is a genuinely countercultural act. It looks like resisting constant measurement, valuing rest and sufficiency, and staying curious about things that will never show up on a dashboard.

A company that swaps weekly KPI dashboards for a quarterly, narrative conversation about how people are actually doing is practising this at scale. So is a household that declares Friday evenings a no-notifications zone, or a friend group that meets to talk with their phones left in another room.

None of it is dramatic. All of it is Daoist.

You don't need to quit your job or delete every app to live this way. You just need to notice, fairly often, when a number has quietly taken over a decision that used to be yours, and hand that decision back to yourself.

Ancient Wisdom, Applied

1. Ditch the Dashboard for an Hour (Chapter 57)

Workplace tracking software treats every pause as inefficiency, and Laozi warned that more restrictions make people poorer, not richer (Daodejing, ch. 57).

Block out one hour a day where no software is watching and no metric is logging, and the choice of how to spend it belongs to you again. Do this for a week and notice which tasks you were only doing because a dashboard was watching, not because they mattered.

That gap is worth paying attention to, because it's usually where your actual priorities have been hiding all along.

2. Study One Thing With No Deadline (Chapter 65)

Pick a subject you're curious about, with zero exam, no certificate, no post about it afterwards. Laozi warned that governing through cleverness, meaning engineering incentives to steer behaviour, corrupts genuine motivation (Daodejing, ch. 65). An AI study planner can get you through an exam, but it can't make you curious.

Spend a weekend afternoon reading, tinkering or wondering about something with no measurable payoff, and pay attention to how different that focus feels from doing something purely "for the numbers."

That difference is the thing algorithms can't replicate, no matter how good they get.

3. Take the Tracker Off for a Weekend (Chapter 19)

Laozi advised cutting off "clever skill" and "profit" so that thieves, meaning our own inner anxieties, would lose their grip (Daodejing, ch. 19).

Try a weekend without your fitness tracker and notice how quickly your body starts talking to you again: when you're actually tired, actually hungry, actually restless, rather than what a screen says you should be.

You'll probably survive not knowing your exact sleep score. You might even sleep better for not checking it.

4. Set a Personal "Enough" (Chapter 46)

Laozi said there's no greater misfortune than not knowing contentment (Daodejing, ch. 46). Choose one area, steps, emails answered, books read, and decide in advance what "enough" looks like for you, then stop when you hit it, even if the app wants more.

This is harder than it sounds, because most apps are designed deliberately to make "enough" feel impossible to reach. Practising it anyway, even imperfectly, is exactly the point of the exercise.

5. Protect One Unmeasured Hour a Week (Chapter 64)

The sage, Laozi wrote, learns what is not conventionally learned and restores what others overlook (Daodejing, ch. 64).

Set aside one hour a week for something that produces nothing trackable: a slow walk, an unplanned conversation, sitting quietly with no podcast playing in your ears. Nothing about that hour will show up in a productivity report, in a step count or in a performance review.

That's exactly why it matters, and why it's worth defending against everything else competing for your time.

Final Thoughts

Liberation, according to the Daodejing, doesn't come from a better app. It comes from wanting less and calculating less, and from trusting that you're allowed to exist outside a dashboard.

AI optimisation treats you like a machine that needs constant tuning. Daoism offers a quieter, more human correction: you were never a data point to begin with, and you don't need a score to prove your life is going somewhere worthwhile.

None of this means rejecting technology, and it doesn't require moving to a mountain. Keep the smartwatch, keep the AI assistant, keep the productivity dashboard if it genuinely helps you. Just stop letting it referee questions it was never equipped to answer, questions about meaning, character and what actually makes a Tuesday worth living.

It means refusing to let a number decide what your life is worth. Turn off a metric this week, just one, and see what grows back in the space where it used to be. You might find it was there all along, quietly waiting under all that data for you to notice it again.