EXPOSED
Almost nothing a construction laborer does — digging, hauling, forming and stripping concrete, operating jackhammers and compactors, signaling equipment, cleaning and securing sites — can be done by a language model, and today's construction robotics handle only narrow, flat, repeatable tasks like rebar tying or layout marking. The exposure isn't AI replacing the body; it's the absence of a license, signature, or client relationship to anchor the wage, which keeps pay flat and makes the job the first cut when interest rates or immigration policy shift demand. The modal laborer is a general helper on a residential or commercial crew, not a specialized scaffold or hazmat tech.
Dipped in 2020, then grew past where it started.
Median pay $36,860 → $47,120 +2.3% 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
+7.3%
Percentage only. The projection counts a different population from the 1,096,780 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 +7.3% more of these jobs by 2034, and at 52/100 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.
~129,400 openings a year on average, including replacing people who leave.
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Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Stripping formwork on a curved wall, hand-digging around a live gas line, or dragging hose through mud on a rain-delayed pour are tasks no machine sequences reliably — the 4-point gap below 20 reflects that layout marking, rebar tying, and bulk excavation are already being peeled off by Dusty Robotics-type printers and TyBot rigs.
Hands-on in uncontrolled environments You work at whatever grade, weather, and ceiling height the site gives you — trench boxes, scaffold planks, live traffic lanes, 95°F slab pours — with the only points held back being the occasional day spent on flat, swept concrete pushing a broom.
No licence, no signature requirement No state licenses a construction laborer; the 3 comes from OSHA 10/30 cards, and competent-person or flagger certs that a general contractor may require on paper but that neither transfer with you nor put your name on anything the AHJ inspects — the super and the licensed trades sign off.
Meaningful discretion Spotting a trench wall starting to slough, deciding a load is too unbalanced to rig, or catching a signal that will swing a bucket into a crew member are real calls you own in the moment; the 8 rather than 14 is because the excavation plan, sequencing, and shoring design come down from the competent person and engineer, not from you.
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 (16/20 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 (3/20) is whether the law requires a licensed human to sign. Trust premium (6/20) 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 17 of this occupation's 52 points (33%).
Embodiment (19/20) 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.
Glaziers EXPOSED
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 66/100, still EXPOSED.
Expansion of mandatory certification regimes that already exist in slivers of the trade to the general laborer: OSHA 30 or a state-issued 'skilled and trained workforce' card as a condition of bidding public work (California AB 3018 already requires apprenticeship-graduate ratios on state projects), plus jurisdictions like NYC's Local Law 196 site safety training hours. If a named, carded worker must be logged for trench, silica, or confined-space tasks and can be personally cited, the shield rises from token to real.
Retrofit, disaster-recovery, and utility-repair work growing as a share of demand — irregular, undocumented, one-off site conditions where the routine flat-slab tier robots handle is absent. Federal infrastructure and lead-pipe replacement mandates push volume toward exactly this tier.
Task-mix shift as autonomous equipment and layout robots take the repeatable tier: the remaining human role concentrates on spotting, exclusion-zone control, and stop-work authority around machines that cannot read an unstable trench wall or an unmarked utility. Union contracts (LIUNA) or state rules requiring a human safety observer per autonomous unit would formalize this — analogous to existing crane signalperson certification under OSHA 1926.1428.
Insurer-driven requirement: builder's risk and workers' comp carriers conditioning premiums on documented certified-competent-person presence for excavation and fall-protection tasks, making the certified laborer a contractual necessity rather than an interchangeable body.
The limit. Trust premium has no plausible route: buyers contract with the GC, never meet the laborer, and no client pays extra for a human helper. Embodiment is already near ceiling and can only fall. The real determinant of this occupation's fate is construction demand and immigration enforcement, not model capability — a register score cannot capture that.
| New York-Newark-Jersey City, NY-NJ | 50,870 | $61,270 +30% |
| Houston-Pasadena-The Woodlands, TX | 34,080 | $41,350 -12% |
| Dallas-Fort Worth-Arlington, TX | 29,670 | $43,960 -7% |
| Phoenix-Mesa-Chandler, AZ | 29,230 | $46,910 +0% |
| Chicago-Naperville-Elgin, IL-IN | 26,690 | $60,890 +29% |
| Los Angeles-Long Beach-Anaheim, CA | 21,730 | $58,810 +25% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 18,280 | $45,520 -3% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 17,710 | $47,430 +1% |
| Vineland, NJ | 440 | $83,680 +78% |
| Kahului-Wailuku, HI | 630 | $79,760 +69% |
| Urban Honolulu, HI | 3,040 | $77,960 +65% |
Larsen & Toubro · Lotte Construction · Tilbury Douglas · Rosendin Electric · Saudi Arabia · Auburn University · Shimizu Corporation · Housing & Development Board
Tech Times reports Lotte Construction has deployed an autonomous floor-cleaning robot at an active construction site in South Korea.
The Straits Times reports that construction firms in Singapore are adopting robots in response to a labour shortage in the sector.
Japanese construction firm Shimizu said it plans to deploy AI-powered humanoid robots on building sites by 2030 in response to construction labour shortages.
Storyboard18 reports Indian construction firm Larsen & Toubro is adopting robotics and automation on sites in response to labour shortages.
Larsen & Toubro said it is turning to automation and robotics in its construction operations in response to labour shortages, per Daily Pioneer.
L&T CFO R Shankar Raman said the engineering and construction firm is investing in 'digital workers' to address manpower shortages on projects.
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