← Risk register SOC 37-3011 · reviewed 2026-08-11

Landscaping and Groundskeeping Workers

952,640 US workers · median $39,150/yr · Facilities

EXPOSED

Mowing, edging, mulching, pruning, planting, snow removal and irrigation repair are physical work in uneven, weather-exposed, obstacle-filled terrain — none of it is text or screen work, so language AI barely touches it. The real pressure is robotic, not cognitive: autonomous commercial mowers already handle large flat turf, and route/crew scheduling and estimating are being software-ified, which squeezes headcount per acre rather than eliminating the trade. Scores land in EXPOSED only because there is almost no licensure, little client relationship at the crew-worker level, and little consequential discretion — the modal worker executes a route plan.

10-year outlook: Employment holds up through the 2030s because the work is physical, but autonomous mowers and scheduling software will shrink crew sizes on large commercial turf and shift value toward pruning, irrigation, and hardscape specialists.

US employment, 2019–2025+4.4%
912,660952,640 workers

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

Median pay $30,440 → $39,150 +2.9% in real terms (nominal +28.6%, 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

+3.6%

Percentage only. The projection counts a different population from the 952,640 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 +3.6% more of these jobs by 2034, and at 56/100 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.

~158,200 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.

SextonSodderWeederYardmanGardenerCaretakerGreensmanSod LayerGroundsmanLandscaperLawn MowerSod CutterPark KeeperWeed BurnerWeed CutterYard PersonYard WorkerBrush CutterGrass CutterGreenskeeperLand ClearerSod StripperWeed ThinnerYard Laborer

Score — 56/100 resistance

Holding it up: embodiment (20/20). Weakest point: liability shield (3/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 18 + 20 + 3 + 8 + 7 = 56. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 18/20

Tasks largely resist digitisation Pruning around a mature Japanese maple, hand-digging a broken irrigation lateral, blowing leaves out of a bed line, and clearing a walkway after an ice storm are all one-off improvised motions in cluttered terrain — an 18 rather than a 14 because even the most repetitive task (turf mowing) only automates on large open flat lawns, not the trimmer-and-blower work that fills most of the day.

Embodiment 20/20

Hands-on in uncontrolled environments The entire job is outdoors in heat, rain, mud and cold, on slopes, around parked cars, tree roots, fences, dog waste and buried lines, hauling mulch and running gas-powered equipment — there is no version of this performed from a chair, which is what a 20 means.

Liability shield 3/20

No licence, no signature requirement No licence gates entry; the pesticide applicator certification some states require for spraying is held by one crew member or the company, and the 3 rather than 0 reflects that plus OSHA/equipment training — but nothing that stops an owner replacing you with a machine or an unlicensed hire.

Trust premium 8/20

Some relationship component Homeowners on a recurring residential route do come to expect the same person who knows which beds get cut back and where the sprinkler heads hide, and that repeat familiarity is worth an 8 — but the contract sits with the company, the estimate comes from the office, and clients switch vendors on price without ever learning the crew's names.

Judgment & accountability 7/20

Meaningful discretion You decide how low to scalp in drought, whether a limb is dead or dormant, and when soil is too wet to walk equipment across — a 7 because those calls are real but reversible in a season, made against a route sheet and a foreman, with no one downstream depending on your sign-off.

Confidence: high · reviewed 2026-08-11 · how scoring works

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

How to future-proof this job

Where to go deeper on what this job runs on: OSHA Outreach Training — the 10- and 30-hour cards most employers ask for low

All 35 skills ranked by how many jobs they open →

Where this experience transfers — nothing clears the bar

No occupation passed every test: close enough to landscaping and groundskeeping workers 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:

Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters EXPOSED 48/100 (-8) · 79% overlap
Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons EXPOSED 44/100 (-12) · 78% overlap
Roustabouts, Oil and Gas EXPOSED 50/100 (-6) · 78% overlap

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.

What would move this occupation up is the other direction, and on this page it's the more useful one.

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 75/100 — SAFE.

6 specific changes that would raise this score
  • already happening liability shield +5

    State pesticide/herbicide rules that require a state-certified commercial applicator to be physically present and personally sign the application record for every treated site, rather than a supervisor certifying remotely for many crews. Several states (e.g., CA DPR's licensed QAL requirements, NY 7-day notification and certification rules) already run this structure; extending presence-and-signature to fertilizer/nutrient management under Chesapeake-Bay-style nutrient applicator laws would pull more crew-level work behind a license.

  • already happening task resistance +2

    Genuine two-tier split: if autonomous mowers take open turf, the residual job concentrates in detail pruning, bed work, irrigation diagnosis, storm cleanup, plant health diagnosis and slope/obstacle edges — tasks robots handle worst. Watch fleet mix at large firms (BrightView, Yellowstone) for headcount per acre falling while the remaining role is described as horticultural technician rather than mower operator.

  • plausible liability shield +4

    Municipal tree ordinances that condition any pruning or removal on a public or heritage tree on a signed assessment by an ISA-certified arborist with TRAQ qualification, with liability for failure attaching to the signer — plus insurer requirements that tree-work claims be defended only where a certified assessor signed off. Ordinances of this type exist in many CA and Southeast cities.

  • plausible liability shield +3

    Backflow-prevention and cross-connection rules requiring a certified tester to sign annual irrigation backflow certificates, and state irrigation contractor licensing (TX and CA models) extended to routine repair rather than only new installation.

  • plausible judgment accountability +3

    Municipal or HOA stormwater and water-restriction regimes that make the on-site crew lead the accountable party for irrigation scheduling decisions, runoff control and nutrient timing under drought orders — i.e. discretionary calls with fines attached, as in Southwest water districts' restricted-watering enforcement.

  • plausible trust premium +2

    Growth in native/ecological restoration and organic land care contracts (NOFA Organic Land Care accreditation, school and municipal pesticide bans) where buyers pay for a named accredited practitioner's plant judgment rather than a mowing route. This lifts only the specialist slice, not the modal mowing crew.

The limit. Embodiment is already maxed and cannot rise; the ceiling here is that most of the 950k workers are in unlicensed maintenance crews where the buyer is a property manager purchasing acreage coverage, not a person. Licensure levers raise the score for the applicator/arborist/irrigation slice while leaving the mow-blow-and-go tier exposed to machine substitution.

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 390 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 50,410 $45,530 +16%
Los Angeles-Long Beach-Anaheim, CA 27,860 $44,650 +14%
Chicago-Naperville-Elgin, IL-IN 25,160 $45,280 +16%
Miami-Fort Lauderdale-West Palm Beach, FL 21,170 $37,430 -4%
Dallas-Fort Worth-Arlington, TX 19,750 $37,680 -4%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 17,700 $42,130 +8%
Washington-Arlington-Alexandria, DC-VA-MD-WV 17,140 $42,700 +9%
Phoenix-Mesa-Chandler, AZ 16,850 $39,140 +0%

Best paid

Boston-Cambridge-Newton, MA-NH 15,120 $49,030 +25%
Barnstable Town, MA 2,210 $49,010 +25%
Kahului-Wailuku, HI 1,310 $48,570 +24%

Percentages are against this occupation's national median of $39,150. 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 — nobody, on the record

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 56. 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.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

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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