EXPOSED
This is micro-manual work — setting escapements, adjusting hairsprings, regulating movements under a loupe, cleaning and lubricating parts measured in fractions of a millimeter — and language AI does none of it. The real pressure came decades ago from automated movement assembly lines and offshoring, which is why national employment sits at roughly 250 people; what remains is largely high-end assembly, calibration, and adjustment where hand feel and visual inspection still beat machines. There is no licensure and no signature requirement, so the moat is purely dexterity plus scarce craft skill, and the occupation's tiny size makes it fragile to any single employer's decisions.
Part 2020 shock, part continued decline in the years since.
Median pay $35,080 → $62,620 +42.8% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
-17.5%
Percentage only. The projection counts a different population from the 250 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Shrinking, but not obviously because of AI
The BLS projects -17.5% by 2034, but at 49/100 this work is only moderately exposed — not the profile of a job current AI can simply do. Occupations shrink for many reasons, and the score does not point at automation as this one's cause.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
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TruerPoiserAdjusterAssemblerCalibratorClockmakerDial MakerHorologistWatchmakerPallet MakerCalibrationistTiming AdjusterWatch AssemblerBarrel AssemblerEscapement MakerHairspring TruerWatch TechnicianHairspring SetterHairspring StakerEscapement MatcherHairspring AdjusterHairspring VibratorBanking Pin AdjusterChronometer Adjuster
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Truing a balance wheel, bending a hairspring's terminal curve to get isochronism across positions, and beat-setting an escapement are decided by feel and by watching amplitude change under a loupe — no text or image model produces that correction, which is why this sits at 15 rather than in the mixed band; the points it loses are for the paperwork side, timing-machine readouts, parts ordering, and repair estimates that software already handles.
Hands-on in uncontrolled environments Every duty runs through tweezers, staking sets, ultrasonic cleaners and lubricant applied in microlitre doses to jewel holes — nothing is completed on a screen, though the work happens at a fixed dust-controlled bench rather than in the field.
No licence, no signature requirement No state licence, no certification requirement, no signed attestation on a serviced movement; the 2 reflects only that a factory-trained or WOSTEP-style credential occasionally gates access to warranty work for a specific brand, and the manufacturer, not you, carries the guarantee.
Meaningful discretion You decide whether a worn pivot gets burnished or the staff replaced, and whether a movement out of tolerance in the vertical positions needs poising or a new spring — real calls with real cost, but made against factory tolerance specs and timing-machine numbers, not in open ambiguity, and a wrong call costs a service redo rather than anyone's safety.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (15/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (2/20) is whether the law requires a licensed human to sign. Trust premium (8/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 18 of this occupation's 49 points (37%).
Embodiment (16/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 64/100, still EXPOSED.
Formal certification/hallmark schemes that explicitly designate hand-finished, hand-regulated movements — e.g. expansion of the Geneva Seal (Poin\u00e7on de Gen\u00e8ve), the Fleurier Quality Foundation certificate, or a US-side equivalent from the American Watchmakers-Clockmakers Institute — being used as a marketing precondition by luxury brands, so that buyers pay a documented premium for a named human adjuster. Also visible: independent watchmaking (AHCI-style) resale premiums and brands publishing the assembler's signature on the movement.
Consolidation of high-value restoration and complication service into a small number of authorized service centers where a named watchmaker decides whether an irreplaceable original component is repaired, replaced, or left alone on a six-figure timepiece \u2014 an unrecoverable call made under ambiguity, with brand-level and insurance consequences attached to the individual.
Task-mix shift as remaining volume work moves offshore or to automated assembly lines: the US-resident residue becomes almost purely final regulation, chronometry adjustment to COSC/METAS-type tolerances, and warranty rework on vintage/complicated pieces, where positional error correction depends on hand feel rather than programmed motion. This raises the share of the day machines cannot do without any new law.
Only narrow route: aerospace/defense and metrology contexts where a calibration technician must sign a certificate traceable to NIST under ISO/IEC 17025 accreditation, with the signer named on the record. If timing-device work sits inside an accredited calibration lab, a named human signature becomes contractually required \u2014 but this is contract and accreditation, not licensure, and carries no personal liability.
The limit. With ~250 national workers, no licensure body, and no statutory signature, the institutional dimensions have little to grip. Any single luxury brand's decision to centralize service abroad or install automated regulation rigs outweighs every lever listed here; scarcity is the moat and also the fragility.
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 49. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.