← Risk register SOC 47-4051 · reviewed 2026-08-11

Highway Maintenance Workers

154,960 US workers · median $50,260/yr · Construction

EXPOSED

Patching potholes, plowing and salting roads, mowing shoulders, setting cones and flagging traffic, and repairing guardrails and signs are physical work in uncontrolled outdoor environments — almost nothing here is text or screen work an LLM can take. The exposure is not AI writing your job away; it is telematics-driven route optimization, automated plow/spreader control, machine-vision pavement inspection, and autonomous mowing trimming crew sizes and shifting the work toward equipment operation. The CDL and flagger certifications are real credentials but thin legal shields, and the buyer is a DOT budget line, not a client who pays for you personally.

10-year outlook: Headcount drifts down slowly as sensors, route software and semi-automated plow and mowing equipment let smaller crews cover the same lane-miles, but storm response, live-traffic repair and emergency callouts keep this a hands-on job through the 2030s.

US employment, 2019–2025+2.7%
150,860154,960 workers

Roughly flat across the period, with year-to-year wobble.

Median pay $40,730 → $50,260 -1.3% in real terms (nominal +23.4%, less ~25% US inflation over the period)

The job count is not the verdict

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% 159,100 → 163,900 on the projections basis

Growing, and only partly exposed

The BLS expects +3% more of these jobs by 2034, and at 58/100 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.

~12,300 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

FlaggerHot OilerRoad MakerRoad OilerRoad MenderRoad WorkerRoad BuilderRoad PatcherAsphalt RakerRoad RepairerStreet WorkerHighway WorkerTraffic FlaggerMaintenance AideMaterial HandlerQuick TechnicianRoad Crew MemberCertified FlaggerHighway MaintainerMaintenance WorkerSnow Plow OperatorTraffic ControllerRoad Sign InstallerConstruction Flagger

Score — 58/100 resistance

Holding it up: embodiment (19/20). Weakest point: liability shield (6/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 17 + 19 + 6 + 7 + 9 = 58. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 17/20

Tasks largely resist digitisation Cutting out a failed pavement edge, tamping hot mix in February rain, chainsawing a downed tree off a two-lane at 3 a.m., and re-tensioning a mangled W-beam guardrail are one-off, site-specific jobs where every hole is a different shape — the 17 rather than 20 reflects that plow routing, salt-rate spreading, and pavement-crack surveys are already being handed to GPS/telematics and camera systems, so parts of the shift are drifting toward monitoring equipment rather than swinging tools.

Embodiment 19/20

Hands-on in uncontrolled environments You work inside live traffic on open right-of-way — kneeling in a lane behind a cone taper, riding a mower deck on a 3:1 slope, hanging off the back of a spreader in a whiteout — which is as uncontrolled as a worksite gets, and the 19 instead of 20 only acknowledges that a growing share of hours is spent seated in a cab.

Liability shield 6/20

Certification preferred, not legally required A Class B CDL with air-brake and tanker endorsements plus a state flagger card are genuine gate-keepers on who can be dispatched, but neither makes you the person a court names when a work-zone crash happens — the DOT, the resident engineer who signed the traffic control plan, and the contractor's insurer absorb that, which is why this sits at 6 rather than up with licensed trades who stamp their own work.

Trust premium 7/20

Some relationship component Nobody driving through your taper knows your name, and the work is bought by an agency budget or a low-bid contract rather than by repeat customers; the 7 comes from the foreman-and-crew side of it — supervisors who know who can be trusted alone with a loader at night, and county residents who call about a specific pothole and expect the same crew.

Judgment & accountability 9/20

Meaningful discretion You decide whether a shoulder washout needs closing now or can hold until Monday, how much salt to lay before an ice event, and where to set the taper when a curve limits sight distance — real calls with real consequences, but they run inside the MUTCD Part 6, the state maintenance manual, and a supervisor's dispatch order, which caps this at 9 rather than the engineer-level ambiguity above 14.

Confidence: high · reviewed 2026-08-11 · how scoring works · 1 deployment report on file

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, physical-presence, unionization

How to future-proof this job

Training paths for your skill gaps: MIT OpenCourseWare — operations management free · Coursera — project coordination and cross-team delivery free to audit · Apprenticeship.gov — electrical, HVAC, plumbing and fitting programs that pay while you learn paid to train · MIT OpenCourseWare — systems analysis and engineering free · edX — systems thinking and evaluation methods free to audit · Coursera — people management and team leadership specialisations free to audit · Coursera — engineering and procurement courses, auditable without paying free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Roofers SAFE · 70/100 · you already have ~74% of the skill profile

Skills to close: Operations Analysis, Coordination

Electrical Power-Line Installers and Repairers SAFE · 68/100 · you already have ~73% of the skill profile

Skills to close: Installation, Systems Analysis, Systems Evaluation, Management of Personnel Resources

Riggers SAFE · 70/100 · you already have ~72% of the skill profile

Skills to close: Equipment Selection, Operations Analysis, Installation

What would move this back up — beyond any one person

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 72/100 — SAFE.

4 specific changes that would raise this score
  • already happening task resistance +2

    Task-mix shift: this occupation genuinely has two tiers. If telematics, machine-vision pavement scanning and autonomous mowing absorb the routine repetitive tier (mowing runs, scheduled salt spreading, inspection logging), the residual job becomes non-repeatable one-off repair — storm damage, guardrail and cable-barrier crash repair, sinkholes, bridge-joint and drainage failures — which is harder to systematize. Score holds high or rises even as headcount falls.

  • plausible liability shield +5

    State DOT and MUTCD-derived rules that require a certified Traffic Control Supervisor / ATSSA-certified person to personally sign and be present for temporary traffic control plans in active work zones — several states (e.g. Virginia's TCT/ATCS certification, Michigan's TSA requirement) already mandate a named certified individual on site. Extension of such named-signer requirements to routine maintenance operations, and to sign-off on any autonomous mowing or plow deployment in live traffic, would convert a thin certification into a personal-liability shield.

  • plausible judgment accountability +4

    Winter storm and emergency-response duty formally assigned to named crew leads: the call to close a lane, declare a road impassable, or divert traffic around a washout under incomplete information. Where state DOT operations manuals already vest closure authority in a supervisor on scene rather than a central TMC, that authority is consequential and auditable; broader codification (rather than TMC centralization) raises this.

  • plausible liability shield +3

    OSHA or FHWA rulemaking (or state law following work-zone fatality litigation) requiring a human safety officer to authorize the release of an autonomous mower/plow into a public right-of-way, with that person named in the incident record — analogous to the human-attendant requirements in current autonomous shuttle pilots.

The limit. Every lever here protects the role's content, not its headcount. The binding constraint is that the buyer is a state DOT budget line: route optimization and autonomous equipment reduce crew size without ever needing to replace the judgment tier. There is no plausible route to a trust premium — no motorist chooses a pothole crew — so that dimension is omitted.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 350 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

New York-Newark-Jersey City, NY-NJ 6,800 $60,280 +20%
Chicago-Naperville-Elgin, IL-IN 4,110 $76,220 +52%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 3,450 $43,890 -13%
Los Angeles-Long Beach-Anaheim, CA 2,330 $58,540 +16%
Pittsburgh, PA 2,270 $49,710 -1%
St. Louis, MO-IL 1,960 $52,160 +4%
Minneapolis-St. Paul-Bloomington, MN-WI 1,860 $63,650 +27%
Detroit-Warren-Dearborn, MI 1,750 $49,280 -2%

Best paid

San Jose-Sunnyvale-Santa Clara, CA 360 $79,000 +57%
Vallejo, CA 100 $76,510 +52%
Chicago-Naperville-Elgin, IL-IN 4,110 $76,220 +52%

Percentages are against this occupation's national median of $50,260. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this

The score above is about what the work exposes. This is reporting about real deployments in this occupation — the difference between "could be automated" and "somebody automated it."

Kier

1 of 1 reported case, with sources

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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Kept current

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