SAFE
The paperwork half of this job — H-2A petitions, payroll runs, piece-rate calculations, MSPA disclosure forms, crew scheduling, wage statements — is exactly what software and AI already handle, and labor-management platforms are eating it. What does not automate is standing in a strawberry field at 5am deciding whether the crew moves rows, physically transporting and housing workers, and being the registered human name on the certificate when a wage-and-hour or heat-illness claim lands. The federal MSPA certificate of registration and state licenses (e.g., California FLC) legally require a named human registrant with personal liability, which is a real but regulatory moat.
Headcount grew steadily across the period.
Median pay $61,910 → $58,460 -24.5% 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.
BLS projection, 2024–2034
+6%
Percentage only. The projection counts a different population from the 310 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Hard to automate, and growing
The work resists current AI and the BLS projects +6% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
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.
~300 openings a year on average, including replacing people who leave.
Field ManagerFarm ContractorFarm Crew LeaderFarm Crew MemberField ContractorField SupervisorHarvest ContractorFarm Labor ContractorHarvesting ContractorFarm Sanitation EmployeeField Crop Harvest Contractor
Holding it up: liability shield . Weakest point: task resistance .
Mixed — a routine tier and a judgment tier Half the week is H-2A clearance orders, payroll and piece-rate reconciliation, and MSPA wage statements that farm-labor software already generates, but the other half — recruiting a 40-person crew from a specific village network, arriving before dawn to judge whether the berries are dry enough to pick, and renegotiating with the grower when the harvest window collapses — has no digital substitute, which is what holds it at 12 rather than down near 6 with payroll clerks.
Hands-on in uncontrolled environments You are driving the crew bus, inspecting the housing you registered on your MSPA certificate, walking rows in the heat to check pick quality and worker pace, and hauling water and shade structures to comply with heat-illness standards — uncontrolled outdoor sites, other people's vehicles, other people's fields, which is 14; it stops short of 18 because a meaningful block of hours is still spent on a phone and a laptop.
Licensed human required and personally liable The MSPA certificate of registration names a natural person, with separate endorsements to drive, house, and transport workers, and California FLC licensure adds a bond, an exam, and joint-and-several wage liability with the grower — the DOL can debar you personally and workers can sue you individually, which is why this sits at 15 rather than in the certification-preferred band.
Meaningful discretion Deciding to pull a crew off a block when the fruit isn't ready, setting a piece rate that clears minimum wage across variable field conditions, and calling a heat stand-down are ambiguous decisions with wage-claim and worker-safety consequences you personally answer for; it lands at 13 rather than higher because the grower typically sets the harvest plan and acreage you are executing against.
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 (12/20 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 (15/20) is whether the law requires a licensed human to sign. Trust premium (14/20) 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 42 of this occupation's 68 points (62%).
Embodiment (14/20) 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.
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, still SAFE.
DOL expanding MSPA enforcement so that the named registrant is personally liable jointly with the grower for wage, transport and housing violations — plus state additions like California AB 1963-style FLC bond increases and the CA Labor Commissioner's practice of naming individual registrants in citations. A rule requiring the registrant (not a corporate entity) to personally attest to each H-2A job order's wage and housing compliance would push this near ceiling.
Task-mix shift: once H-2A petitions, payroll and piece-rate math are fully platformed (Seso, AgWorks already do this), the residual job is crew discipline, housing crises, dispute resolution and audit defense — the judgment tier. The score rises even as total headcount falls.
Heat-illness standards (Cal/OSHA 3395, the proposed federal OSHA heat rule) make a named supervisor responsible for real-time work/rest calls; if the federal rule finalizes with a designated-person requirement, the contractor owns a documented life-safety judgment under ambiguity every hot day.
The limit. Note the 310-worker headcount: liability and judgment scores can rise while the occupation shrinks, since the moat protects the certificate holder, not the back-office staff behind them. Trust premium has no realistic route — growers buy compliance cover and labor supply, not human-ness.
Adjudication: scored twice independently and the runs disagreed. The change held under every rounding method, so the average was published.
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 68. 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.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.