EXPOSED
Hanging 12-foot sheets on uneven studs, scribing around ducts and outlets, and finishing joints in occupied or half-built rooms is exactly the work robotics handles worst: variable dimensions, overhead lifting, dust, ladders, and constant improvisation. AI touches only the paperwork edges — takeoffs, sheet-count estimating, scheduling, bid letters. There is no license requirement in most states, so the moat is physical and reputational rather than regulatory; the wage pressure here comes from labor supply and crew subcontracting, not from software.
Most of this decline happened after 2021 — it is not the pandemic dip.
Median pay $45,700 → $58,930 +3.2% 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
+4.2%
Percentage only. The projection counts a different population from the 83,080 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 +4.2% more of these jobs by 2034, and at 64/100 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.
~7,700 openings a year on average, including replacing people who leave.
FurrerLatherDrywallerLath HandRemodelerRock LatherWire LatherWood LatherMetal FramerMetal FurrerMetal LatherSheet RockerDrywall TaperDrywall HangerDrywall SanderDrywall WorkerPlaster LatherDrywall CarrierDrywall FinisherDrywall MechanicDrywall StripperRockboard LatherSheet Rock LayerCeiling Installer
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Cutting a sheet to fit a stairwell soffit where no two studs are 16 inches apart, back-blocking a butt joint, and feathering a three-coat finish that reads flat under raking window light are judged by hand and eye at arm's length — the only parts a machine reliably takes are panel-lift assist and laser layout, which crews already use without shrinking headcount.
Hands-on in uncontrolled environments You are on stilts or a Baker scaffold carrying 54-pound 5/8-inch Type X overhead, screwing off ceilings before walls, breathing joint-compound dust in unconditioned shells with temporary power and no finished floor — there is no version of this performed remotely.
No licence, no signature requirement No state licenses drywall hanging as a trade; the general contractor or the fire-stopping inspector signs off on the rated assembly, and your exposure is limited to OSHA fall-protection and silica rules on the crew, not a personal credential anyone can pull.
Exists to be accountable for ambiguous calls Deciding whether framing is out-of-plumb enough to shim or demand the framer return, where to float a ceiling to hide a truss uplift, and how to break sheets so seams miss high-traffic sightlines are calls made on the spot with the schedule running.
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 (4/20) 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 (14/20) 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 26 of this occupation's 64 points (41%).
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.
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.
Silica and lift-related enforcement pushing crews toward licensed/registered contractor status: OSHA 1926.1153 Table 1 silica compliance plus state contractor-registration bills (e.g. residential specialty licensing in WA/OR/CA C-9 drywall license) create a named licensee who signs for compliance. Wider adoption of a C-9-style specialty license across states would add a real, if thin, credential moat.
Fire-rated and smoke-barrier assembly work becoming a licensed/certified specialty: some jurisdictions already require third-party firestop special inspection (IBC 1705.17, ASTM E2174/E2393) and FM 4991-approved contractor status for penetration firestopping. If a state or model code extended a named, personally-accountable installer certification to rated wall and shaft-liner assemblies — signed installation records per opening — the shield rises from near-nil.
Level 5 finish and historic/plaster restoration work priced as a named-craftsman line item: architects specifying GA-214 Level 5 with skim coat on high-light-angle walls, or SHPO-eligible plaster repair on tax-credit rehab projects, already buys a specific finisher's hand. Growth of that specification tier — versus commodity Level 4 tract work — raises the premium.
Task-mix shift as panel-lifting and rough-hang assist tools (semi-autonomous board lifts, Canvas-style finishing robots on flat commercial planes) take the repetitive flat-field work, leaving scribing, rated-assembly detailing, deflection joints, and remediation calls. The remaining job is the diagnosis tier: judging whether a substrate is acceptable, when to refuse a framer's out-of-tolerance wall, how to detail a moving joint.
The limit. Embodiment and task_resistance are already at or near maximum; there is no headroom there and any movement is downward as jobsite robotics mature on flat commercial work. The realistic ceiling for this occupation is roughly 72-75, driven almost entirely by rated-assembly certification and the Level 5/restoration finish tier. Neither reaches the bulk of residential tract hangers, whose exposure is to labor supply and subcontracting economics, not software — no lever here touches that.
Adjudication: scored twice independently and the runs disagreed. The change held under every rounding method, so the average was published.
| Los Angeles-Long Beach-Anaheim, CA | 7,710 | $62,800 +7% |
| Riverside-San Bernardino-Ontario, CA | 3,640 | $61,420 +4% |
| San Diego-Chula Vista-Carlsbad, CA | 3,220 | $76,290 +29% |
| New York-Newark-Jersey City, NY-NJ | 2,560 | $71,320 +21% |
| San Francisco-Oakland-Fremont, CA | 2,510 | $82,160 +39% |
| Sacramento-Roseville-Folsom, CA | 2,500 | $63,540 +8% |
| Las Vegas-Henderson-North Las Vegas, NV | 2,340 | $52,280 -11% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 2,210 | $59,070 +0% |
| Urban Honolulu, HI | 710 | $105,910 +80% |
| Napa, CA | 50 | $84,410 +43% |
| Kahului-Wailuku, HI | 60 | $83,190 +41% |
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 64. 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.