SAFE
Framing walls, hanging doors, setting stairs, and scribing trim to out-of-plumb existing structures happen in mud, weather, and tight crawlspaces where no current robot competes; the automatable slice is estimating, cut lists, takeoffs, and shop drawings. Carpentry generally requires no personal license (contractor licensing is a business-level requirement in most states), so the regulatory moat is thin — the moat is physical. Remodel and finish carpenters carry a real trust premium with homeowners; production framers on tract sites carry less and face more pressure from panelized and prefab components built off-site.
This fall is concentrated in 2020 and has not recovered since.
Median pay $48,330 → $60,580 +0.3% 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
+4.5%
Percentage only. The projection counts a different population from the 670,090 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Hard to automate, and growing
The work resists current AI and the BLS projects +4.5% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
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.
~74,100 openings a year on average, including replacing people who leave.
HewerSiderBracerCeilerCooperFramerLatherMolderRooferJointerHammererSheatherShinglerCarpenterDoormakerHammermanSparmakerTimbermanBoatwrightBraddisherForm LayerForm MakerMast MakerMold Maker
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Cutting a bird's-mouth on a rafter to a ridge that's 3/8" out of level, shimming a jamb until a door swings shut against a racked 1920s opening, and toe-nailing blocking overhead in a joist bay are sequences no digital tool executes; only the pre-cut side — panel layouts, cut lists, and material takeoffs — has already moved to software, which is why this sits at 18 rather than the low teens.
Hands-on in uncontrolled environments You work off a ladder in the rain, kneel on a subfloor to nail base, crawl under a house to sister a joist, and carry sheet goods up stairs — every duty happens at an unfixtured, changing location with no controlled workcell, so there is no fraction of the day that maps to a screen.
Certification preferred, not legally required There is no journeyman carpenter license in most states — a general contractor's license or a jobsite competent-person OSHA card sits with the company, not with you personally, so a 5 reflects apprenticeship credentials and fall-protection/scaffold certifications being expected rather than any statute making you the signing party on the work.
Meaningful discretion You decide whether an existing header carries the new opening, where to relieve a crown that won't scribe, and when a wall is far enough out to shim versus rip out — real calls made without waiting for the engineer, but a stamped plan, inspector, and code table bound most of them, which keeps this at 13 instead of the high-stakes band.
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 (5/20) is whether the law requires a licensed human to sign. Trust premium (12/20) is whether buyers specifically pay for a person. Judgment and accountability (13/20) 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 30 of this occupation's 68 points (44%).
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 84/100, still SAFE.
Insurer-driven rather than statutory: builder's-risk and homeowner-warranty carriers requiring a certified installer signature on water-management and flashing details after the wave of stucco/moisture litigation — mirroring how EIFS installer certification became de facto mandatory.
Task-mix shift as panelization and off-site prefab absorb the repetitive framing tier: what remains on site is set, align, and reconcile prefab panels to as-built foundations and existing structures — scribing, shimming, tolerance stacking. Carpentry genuinely has a production tier and a fit-up/remodel tier, and the second is what survives.
State adoption of individual carpenter licensing/registration tied to code-critical assemblies — e.g. mandatory personal certification for installers of engineered lumber, shear walls, or fire-rated assemblies, as already exists for scaffold erectors in some states and for structural connectors under high-wind/seismic provisions in Florida and coastal Carolina building codes. Also plausible: third-party special-inspection rules (IBC Chapter 17) extended to residential framing, requiring a named installer of record to sign off.
Formal provenance labeling in high-end residential and heritage work — e.g. Preservation Trades Network or state historic-tax-credit rules requiring hand-tool-competent tradespeople on certified rehab, which already condition federal 20% rehab credits on approved treatment of historic fabric.
Field-condition authority formalized: contracts naming the lead carpenter as the person who decides whether an as-built discrepancy is absorbed in the field or escalated as an RFI, with that call documented and binding. Growing in lean-construction and IPD (integrated project delivery) contracts, where trade foremen hold documented decision rights.
The limit. Embodiment is already maxed and task_resistance near it — the realistic headroom is almost entirely institutional, and personal licensing of carpenters is the weakest link in the profession's moat with no national body pushing for it. Production framers on tract sites gain little from any of these levers; the gains concentrate in remodel, historic, and finish work.
| New York-Newark-Jersey City, NY-NJ | 34,210 | $74,300 +23% |
| Los Angeles-Long Beach-Anaheim, CA | 30,600 | $75,740 +25% |
| Seattle-Tacoma-Bellevue, WA | 14,970 | $76,410 +26% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 14,260 | $61,780 +2% |
| Chicago-Naperville-Elgin, IL-IN | 14,220 | $80,440 +33% |
| San Francisco-Oakland-Fremont, CA | 14,010 | $89,200 +47% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 13,280 | $60,800 +0% |
| Riverside-San Bernardino-Ontario, CA | 12,970 | $70,880 +17% |
| Kankakee, IL | 120 | $95,280 +57% |
| Urban Honolulu, HI | 3,120 | $94,310 +56% |
| Michigan City-La Porte, IN | 260 | $91,970 +52% |
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 68. 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.