EXPOSED
This is hand-work — brushing, spraying, staining, stenciling, and hand-decorating products like ceramics, glassware, furniture, signs, and cakes — so language AI barely touches it directly; the threat is automated spray booths, robotic coating lines, pad printers, and digital decal/UV printing that already replace repetitive finish passes at volume. What survives is small-run, custom, and touch-up work where fixture cost exceeds labor cost and where a human eye matches color, blends a repair, or hand-detailed an irregular surface. No license, no sign-off, and buyers rarely know who applied the coating, so there is no regulatory or relationship moat.
Most of this decline happened after 2021 — it is not the pandemic dip.
Median pay $32,950 → $41,600 +1.0% 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
+1.4% 8,800 → 8,900 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +1.4% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
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.
~800 openings a year on average, including replacing people who leave.
DyerDrierInkerLinerWaxerWiperCoaterDipperDullerDusterFillerGilderGlazerMaskerPanmanPasterPinnerShaderSoaperStagerTinterTracerBlockerBrusher
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 11 the split is real: repetitive flat-surface coating on ceramics, glass, and furniture already runs through robotic spray cells, pad printers, and UV decal lines at volume, but blending a touch-up into an existing finish, hand-striping an irregular curve, or stenciling a one-off sign still needs a person holding the brush — that mix of already-gone and still-needed puts it mid-band rather than at 6 or 15.
Hands-on in uncontrolled environments 15 reflects that the work is entirely wrist, eye, and lung — loading parts, holding a spray gun at consistent distance and angle, sanding between coats, working in booths with solvent vapor and PPE — and while a booth is more controlled than a construction site, part geometry, humidity, and dust variability keep it out of the fixed-jig band.
No licence, no signature requirement 1 is right because nothing here requires a credential: no state licence to spray lacquer, no stamped sign-off on a finish, and the OSHA and EPA obligations for solvent exposure and VOC emissions land on the employer's permit and ventilation compliance, not on the person operating the gun.
Executes defined procedures on defined inputs 5 matches work run to spec sheets — specified paint, mil thickness, cure time, number of coats — where discretion is mostly deciding when a surface is clean enough or a coat has flashed off, and a wrong call means rework or scrap, not injury or liability.
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 (11/20 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 (1/20) is whether the law requires a licensed human to sign. Trust premium (5/20) is whether buyers specifically pay for a person. Judgment and accountability (5/20) 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 11 of this occupation's 37 points (30%).
Embodiment (15/20) 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 51/100, still EXPOSED.
Volume repetitive spray/decal passes move to robotic booths and UV digital printers, leaving only color-matching, blending of repairs, irregular-surface detailing, and one-off custom work — the residual job is the judgment tier, which raises measured resistance even as headcount shrinks
Explicit 'hand-painted' / 'hand-decorated' provenance marking that buyers pay for — already visible in ceramics, custom cakes, guitar and motorcycle finishes, and signage; would strengthen if a trade body or marketplace (e.g. Etsy-style or a craft guild certification) enforced a hand-work label the way 'handmade' claims are policed
Where the worker becomes the final visual QC on robot-coated output — accepting or rejecting finish on high-value parts (aerospace, automotive Class A surfaces) under a documented sign-off in the quality system
Growth in on-site restoration and field touch-up work (historic architectural finishes, furniture and cabinetry repair in occupied homes, aircraft/vehicle blend repairs) where fixtures cannot be built and the environment is unpredictable
Narrow route only: OSHA/EPA coating-application rules (lead RRP certification under 40 CFR 745 for pre-1978 substrates, isocyanate spray training) expanding to require a certified applicator to sign the job record on more coating classes — this attaches to certified painters, not to product decorators
The limit. Realistic ceiling is low-to-mid 40s. There is no license, no client-facing identity, and the product usually leaves the shop anonymously; the honest picture is a shrinking craft tier with a real but small premium, not a defended occupation. Most of the 7,940 are in production settings where fixture economics, not law, decide.
| Miami-Fort Lauderdale-West Palm Beach, FL | 320 | $36,540 -12% |
| Dallas-Fort Worth-Arlington, TX | 190 | $32,930 -21% |
| Chicago-Naperville-Elgin, IL-IN | 180 | $33,830 -19% |
| New York-Newark-Jersey City, NY-NJ | 180 | $72,610 +75% |
| Houston-Pasadena-The Woodlands, TX | 140 | $30,710 -26% |
| Tampa-St. Petersburg-Clearwater, FL | 130 | $37,440 -10% |
| Louisville/Jefferson County, KY-IN | 120 | $37,170 -11% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 100 | $42,110 +1% |
| New York-Newark-Jersey City, NY-NJ | 180 | $72,610 +75% |
| Seattle-Tacoma-Bellevue, WA | 70 | $59,170 +42% |
| Denver-Aurora-Centennial, CO | 70 | $57,360 +38% |
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 37. 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.