EXPOSED
The core of this job is standing on a property directing crews, inspecting cut quality and plant health, fixing a broken mower deck, and rerouting the day when rain or a client complaint blows up the schedule — none of which AI touches. What is exposed is the paperwork half: route and crew scheduling, estimating and bidding, material ordering, timesheet and safety-log entry, and customer follow-up emails are all being absorbed by landscape management software with AI scheduling. Pesticide applicator certification (legally required in every state for commercial application) plus crew supervision liability gives a real but partial shield.
Headcount grew steadily across the period.
Median pay $49,370 → $58,430 -5.3% 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
+2.3%
Percentage only. The projection counts a different population from the 130,760 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 +2.3% more of these jobs by 2034, and at 62/100 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.
~23,200 openings a year on average, including replacing people who leave.
Turf ManagerField ManagerGrounds ForemanGrounds ManagerPark SupervisorService ManagerGardening ManagerLandscape ForemanLandscape ManagerGrounds SupervisorNursery SupervisorEnhancement ManagerGolf Course ManagerLandscaping ForemanLandscaping ManagerArborist Crew LeaderGardening SupervisorLandscape SupervisorGreens SuperintendentLandscape Crew LeaderLawn Services ManagerGround Crew SupervisorGrounds SuperintendentLandscaping Supervisor
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Diagnosing why a bed is failing, walking a property to judge whether the crew cut clean or scalped the turf, and hand-pruning to a shape a client will accept are tasks that can't be specified in advance, which is what holds this at 14 rather than higher — the bidding math, route sequencing, and daily crew assignments underneath all that are already being generated by Aspire, LMN, or Jobber.
Hands-on in uncontrolled environments You are outdoors in heat, mud, and pollen most of the day, climbing on and off trucks, loading a trailer, backpack-spraying a slope, and troubleshooting hydraulics on a zero-turn in a client's driveway; it's 17 rather than 20 only because a meaningful share of the week is estimating, scheduling, and client calls done sitting down.
Certification preferred, not legally required A commercial pesticide applicator license is legally mandatory and your name is on the application record — a misapplication that kills a neighbor's ornamentals or drifts onto a school is enforced against you personally by the state ag department — but the supervisory role itself needs no license, most states let a certified applicator cover uncertified crew under direct supervision, and hiring is by experience and driving record, which caps this at 7.
Meaningful discretion Calling whether to pull crews off a site because the ground is too saturated to mow without rutting, deciding to eat the cost on a redo versus arguing the scope, and judging when a leaning limb over a walkway becomes a hazard you stop work for are all your calls made in minutes without a supervisor on site; it sits at 13 rather than 16 because label rates, spec sheets, and the contract scope constrain most of what you decide.
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 (14/20 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 (7/20) is whether the law requires a licensed human to sign. Trust premium (11/20) 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 31 of this occupation's 62 points (50%).
Embodiment (17/20) 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.
Firefighters SAFE
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 76/100 — SAFE.
Expansion of state landscape-contractor licensing (as in California's C-27 license and Florida's local irrigation/limited landscape licenses) to require a licensed, named qualifying individual on site for irrigation backflow certification, tree work near utility lines (ANSI Z133 / OSHA line-clearance qualified arborist requirements), and stormwater/erosion-control plan compliance under MS4 permits — each attaches a signature and personal exposure to a specific human.
Task-mix shift: this job genuinely has two tiers. If estimating, routing, timesheets and client email are fully automated, what remains is diagnosis in ambiguity — reading plant stress and disease, judging soil and drainage, deciding a bid is unwinnable, retraining a crew member who cuts scalped lines — none of which software performs without a person on the ground. Watch for the routine tier disappearing while headcount holds.
State pesticide regulators tightening the 'direct supervision' rule so a certified applicator must be physically present (not merely reachable) for every commercial application — EPA's revised Certification of Pesticide Applicators rule (40 CFR 171) already sets minimum age and supervision standards that states may exceed; several states (CA DPR, NY DEC) run stricter presence and record-signing requirements. Add mandatory named-supervisor sign-off on application records and personal liability for drift/off-target damage.
Once AI scheduling and bidding software absorbs the routine tier, the remaining supervisor role concentrates in the calls that carry consequence: heat-illness stand-down decisions under California/Oregon/Washington and the pending federal OSHA heat standard, tree-failure and struck-by risk judgments, and deciding whether to spray adjacent to a school or waterway. If OSHA finalizes the heat rule with a designated on-site supervisor duty, the accountability sits explicitly on this role.
Buyers paying specifically for a credentialed human on site: adoption of certification-linked procurement, e.g. municipal and HOA contracts requiring an NALP Landscape Industry Certified Manager, ISA Certified Arborist, or Audubon/GCSAA-certified superintendent as the named on-site supervisor; also Sustainable SITES or organic-land-care program requirements that name an individual practitioner.
The limit. The embodiment score is already near its top and cannot meaningfully rise. The realistic ceiling here is roughly 70-74: the shield and accountability levers are real but attach to specific activity types (pesticides, tree work, irrigation backflow, heat), not to the whole occupation, so a supervisor whose crews only mow and edge gains almost nothing from them. Trust premium stays modest because most commercial and residential buyers purchase a price per visit, not a named person.
| New York-Newark-Jersey City, NY-NJ | 6,100 | $74,610 +28% |
| Los Angeles-Long Beach-Anaheim, CA | 4,220 | $61,350 +5% |
| Dallas-Fort Worth-Arlington, TX | 3,560 | $47,850 -18% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 2,960 | $51,340 -12% |
| Atlanta-Sandy Springs-Roswell, GA | 2,800 | $58,960 +1% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 2,690 | $60,460 +3% |
| Chicago-Naperville-Elgin, IL-IN | 2,530 | $52,470 -10% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 2,300 | $62,230 +7% |
| Salinas, CA | 230 | $78,730 +35% |
| San Francisco-Oakland-Fremont, CA | 1,570 | $76,990 +32% |
| Portland-Vancouver-Hillsboro, OR-WA | 600 | $76,910 +32% |
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 62. 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.
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