EXPOSED verdict contested
Almost nothing a painter does is text or screen work: scraping and sanding, patching drywall, masking and taping edges, setting ladders and scaffolds, cutting in trim by hand, and spraying exteriors in variable weather are all unautomated by current robotics. AI's real bite is on the office side — estimating square footage and paint quantities, generating bids and proposals, scheduling crews, and producing color-visualization mockups for clients. The exposure that matters here is competitive and economic (bid-price compression, easier entry for anyone who can generate a professional-looking quote), not task replacement.
Roughly flat across the period, with year-to-year wobble.
Median pay $40,280 → $49,400 -1.9% 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
+3.8%
Percentage only. The projection counts a different population from the 225,190 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Growing, and only partly exposed
The BLS expects +3.8% more of these jobs by 2034, and at 65/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
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.
~28,100 openings a year on average, including replacing people who leave.
FillerCaulkerPainterStainerStipplerTexturerCalciminerKalsominerMarbleizerRoof PainterSilo PainterBrush PainterHouse PainterSpray PainterBridge PainterDrywall SprayerHighway PainterBuilding PainterExterior PainterInterior PainterPavement StriperShipyard PainterBitumastic ApplierCommercial Painter
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Cutting in a straight line where wall meets ceiling on a 90-year-old out-of-plumb wall, feathering a patch so it disappears under a sheen, and judging when a coat has flashed enough to recoat are hand-eye tasks no commercial system performs; the 18 rather than 20 reflects that mass repetitive spray work — new-construction interiors, warehouse decks, structural steel in shops — is already being done by spray robots and automated line equipment.
Hands-on in uncontrolled environments You work from extension ladders, pump jacks and swing stages, in attics and crawlspaces, over occupied furniture, on exteriors where wind and dew point decide whether you can spray at all, and in enclosed spaces where lead-paint dust and solvent vapor drive your respirator choice — there is no controlled cell for any of it.
Certification preferred, not legally required Most states license the painting contractor, not the painter, and the credential that actually attaches to your person is the EPA RRP renovator certification for pre-1978 housing plus OSHA lead and silica training — real requirements with real fines, but they attach to the firm's certification and the GC's contract, not to a personal seal you sign a job off with.
Meaningful discretion You decide whether existing coating needs full strip or spot prime, whether that stain is water intrusion that will bleed through, what primer bonds to unknown glossy substrate, and whether today's humidity will trap moisture under the topcoat — real calls, but the failure mode is a callback and a recoat, not injury or structural loss, which is what keeps this at 10 rather than in the teens.
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 (18/20 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 (6/20) is whether the law requires a licensed human to sign. Trust premium (11/20) is whether buyers specifically pay for a person. Judgment and accountability (10/20) 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 27 of this occupation's 65 points (42%).
Embodiment (20/20) 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.
No occupation passed every test: close enough to painters, construction and maintenance on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
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 79/100 — SAFE.
Industrial/marine coatings work moving further under AMPP (former NACE/SSPC) certified coating inspector sign-off, where a named inspector attests to surface prep and DFT readings on bridge and tank contracts — already contractually mandatory on many state DOT and Navy jobs, and expandable by specification without new legislation.
If manufacturer warranties on high-performance coatings (Sherwin-Williams/PPG extended-warranty programs) continue to condition coverage on a certified applicator's documented substrate moisture, dew-point and film-thickness calls, the applicator owns a consequential judgment under ambiguity with money attached to being wrong.
Expansion of EPA's Lead Renovation, Repair and Painting rule to require a named certified renovator personally present and signing the containment/clearance record on all pre-1978 work (EPA has repeatedly revisited clearance-testing requirements after the 2017 D.C. Circuit remand), plus states adding individual painting-contractor licensure with personal exposure rather than firm-only registration — as CA, VA, and MD-style licensure schemes do — would move the shield from paperwork to a signature that attaches to a person.
Growth of the segment where the buyer is explicitly paying for a hand: historic-district restoration under local preservation commission review, decorative/faux and lime-plaster finishes, and fine interior enamel trim where spray-and-caulk production work is visibly distinguishable. This is a mix shift within the occupation, not a rise for the production repaint trade.
Not a route worth naming: the score is already 18 and the office tier being automated (estimating, bids, color mockups) is the small part of the day. Automating it raises the judgment share only marginally.
The limit. Embodiment is maxed at 20 and task_resistance at 18 — there is no headroom on the capability side. The real threat named in the profile is bid-price compression and easier entry, and none of the levers above touch that directly; licensure and certification are the only mechanisms that raise the cost of entry, which is why liability_shield is the load-bearing dimension here. Realistic ceiling is roughly 75.
| Los Angeles-Long Beach-Anaheim, CA | 12,100 | $59,080 +20% |
| New York-Newark-Jersey City, NY-NJ | 11,930 | $61,420 +24% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 6,210 | $48,490 -2% |
| Chicago-Naperville-Elgin, IL-IN | 5,480 | $61,740 +25% |
| San Francisco-Oakland-Fremont, CA | 5,310 | $63,600 +29% |
| Seattle-Tacoma-Bellevue, WA | 5,140 | $60,440 +22% |
| Houston-Pasadena-The Woodlands, TX | 4,970 | $46,140 -7% |
| Dallas-Fort Worth-Arlington, TX | 4,570 | $45,550 -8% |
| Champaign-Urbana, IL | 160 | $84,370 +71% |
| Kahului-Wailuku, HI | 180 | $73,650 +49% |
| Rockford, IL | 130 | $72,700 +47% |
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 65. 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.