EXPOSED
Almost nothing here is text or screen work — hand-harvesting strawberries, transplanting seedlings, thinning, pruning, sorting and packing in the field — so language AI barely touches the job. The real threat is mechanization: automated transplanters, weeding robots, machine-vision graders and mechanical harvesters are already commercial in leafy greens, nursery pot handling and packing lines, and they eliminate headcount without needing general-purpose robots. No license, no client relationship, and little discretion means there is no regulatory or trust buffer when capital substitution pencils out.
Part 2020 shock, part continued decline in the years since.
Median pay $25,440 → $35,660 +12.1% 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
-3.3%
Percentage only. The projection counts a different population from the 265,500 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -3.3% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
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.
~71,700 openings a year on average, including replacing people who leave.
HoerBallerBudderCullerDiggerFarmerGinnerGrowerLoaderPickerRoguerWeederDitcherGrafterGrubberSmudgerThinnerZanjeroGardenerFarm HandGroundmanHarvesterIrrigatorReplanter
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Picking a strawberry at the right ripeness without bruising it, feeling for a soft spot, bending under a canopy to pull suckers off tomato vines — these are grip-and-eye tasks that no language model performs, and the surviving 16 reflects that soft-fruit and nursery hand work still defeats commercial harvesters, even as leafy-green and pot-handling lines fall to machines.
Hands-on in uncontrolled environments Ten-hour days stooped in mud or 100°F heat, on ladders, in humid greenhouses, on uneven furrows with weather and terrain changing hourly — the only reason this isn't 20 is that some sorting and packing happens on a fixed shed line under a roof.
No licence, no signature requirement No state license, no certification exam, no personal legal exposure for a bad pick; even the pesticide-handler card under the EPA Worker Protection Standard is training the employer must provide, not a credential you own or that anyone must hire you to have.
Executes defined procedures on defined inputs Decisions are real but narrow and bounded by the foreman's instruction — which fruit meets the color break, which seedling is culled, how deep to set a transplant — with no authority over irrigation, spray timing, or when to harvest a block, which is why this sits at the top of the procedural band rather than in discretion.
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 (1/20) is whether the law requires a licensed human to sign. Trust premium (3/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) 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 10 of this occupation's 45 points (22%).
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.
Cooks, Restaurant 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 57/100, still EXPOSED.
Label-driven demand for hand work: USDA organic already effectively forces hand-weeding and hand-thinning in some crops, and 'hand-picked'/'hand-harvested' claims carry price premiums in table grapes, soft fruit and nursery stock. A route would be a certification (e.g. Equitable Food Initiative, Fair Trade USA domestic produce, or a state 'fair labor' seal) that buyers like Costco or Whole Foods contractually require, paying for verified human harvest crews rather than machine.
Task-mix shift: this occupation has two genuine tiers. If mechanical harvest takes leafy greens, machine-graded packing lines and nursery pot handling, the residual work concentrates in tasks robots still fail — grafting and budding nursery stock, cane pruning and canopy work in vineyards, ripeness-selective picking in strawberries/table grapes/tree fruit, and hand transplanting on uneven or terraced ground. Score per-remaining-worker rises even as headcount falls; watch commercial harvest rates for Advanced Farm / Tortuga / Harvest CROO staying below hand-crew throughput in soft fruit.
EPA Worker Protection Standard / state pesticide applicator rules expanding the set of tasks that only a certified handler may perform — e.g. California DPR requiring a certified applicator physically present for autonomous sprayer operation, or state rules treating robotic spray rigs as requiring a licensed handler on the machine (CDFA/DPR has already had to write autonomous-equipment exemption petitions). Also FSMA Produce Safety Rule Sec. 112.22 requiring a named, trained supervisor for harvest hygiene; if audit schemes (PrimusGFS, GlobalG.A.P.) require that person to sign per-lot harvest records, a small personal-accountability shield attaches to crew-level workers.
Crew-lead and irrigation/IPM scout roles absorbing the calls machines cannot own: which block is ready, whether a pest threshold triggers treatment, whether a lot is rejected for contamination. If H-2A or union contracts (UFW, or Washington/Oregon farmworker overtime and heat-rule regimes) formalize a named crew supervisor with authority to stop harvest for heat or food-safety reasons, discretion becomes documented rather than informal.
The limit. Embodiment is already 19 and cannot meaningfully rise; the threat here is not that machines gain general dexterity but that crops, fields and packing lines are redesigned around the machines that already exist. No lever above stops capital substitution — they raise the score of the jobs that remain while total headcount can still fall sharply. Realistic ceiling is low-to-mid 50s.
| Bakersfield-Delano, CA | 32,500 | $34,620 -3% |
| Fresno, CA | 28,570 | $34,610 -3% |
| Salinas, CA | 26,830 | $36,700 +3% |
| Visalia, CA | 21,420 | $34,800 -2% |
| Santa Maria-Santa Barbara, CA | 11,020 | $36,230 +2% |
| Riverside-San Bernardino-Ontario, CA | 5,310 | $35,240 -1% |
| Yakima, WA | 4,550 | $39,070 +10% |
| Oxnard-Thousand Oaks-Ventura, CA | 4,510 | $35,810 +0% |
| Champaign-Urbana, IL | 130 | $48,390 +36% |
| Portland-South Portland, ME | 60 | $48,210 +35% |
| Bloomington, IL | 40 | $47,210 +32% |
ABC reports berry-picking robots being used on farms amid persistent agricultural labour shortages, though no specific operator is named in the headline.
Farming Life reports that a dairy farm run by the Morrison family in Armoy, Northern Ireland, has adopted automation in its milking and farm operations.
VentureBeat reports that Burro, an autonomous agricultural robot, is being used in vineyards to carry harvested grapes alongside human field workers.
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.