EXPOSED
Almost nothing here is screen or text work — knife work on variable carcasses in cold, wet, high-speed plants is exactly what language models cannot touch and what robots still struggle with, since every animal differs in size and bone geometry. The real exposure is mechanical, not conversational: automated primal saws, X-ray-guided cutting, and robotic pork deboning lines are already deployed in Denmark, the Netherlands, and large US pork plants, and each generation pushes further into hand-boning and trimming. There is no license, no client relationship, and little discretion to fall back on — the modal worker's protection is that carcass variability plus wet-environment sanitation makes the robot expensive, not that the task is intellectually safe.
Roughly flat across the period, with year-to-year wobble.
Median pay $29,230 → $40,130 +9.8% 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
+2.2% 69,600 → 71,200 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +2.2% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
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.
~8,400 openings a year on average, including replacing people who leave.
BitterSawyerBrainerButcherDebonerPolemanSaw ManScriberShactorShochetWrapperHog KillerMeat ClerkBeef KillerHog StickerLive HangerMeat PackerPig StickerSide PullerSlaughtererMeat DresserMeat WrapperPelt DropperSaw Operator
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Breaking a hanging carcass with a knife — feeling for the joint, following bone contour that shifts with every animal's weight and age, trimming to a fat spec by eye — is hand skill that no text or vision system executes end-to-end today, and while primal saws and X-ray-guided splitters have taken the straight, repeatable cuts, the fine boning and trim work that fills the shift still resists, which is why this sits at 15 and not 18: the automation already exists on the line beside you.
Hands-on in uncontrolled environments You work standing on a wet slick floor at 40°F, in chain mail and cut gloves, lifting 40-80 lb primals and reaching into a moving carcass at line speeds of hundreds of head per hour — an uncontrolled, contaminated, variable environment that scores 16 rather than 20 only because the plant itself is a fixed, engineered indoor space with the carcass delivered to a fixed station.
No licence, no signature requirement No knife license exists; USDA FSIS inspectors and the plant's HACCP-certified QA staff carry the food-safety and regulatory liability, and your own certifications amount to employer-run training and a hard-hat orientation — a 2 reflects that you can be replaced next shift without any credential transferring out the door.
Executes defined procedures on defined inputs Cuts are dictated by the plant's spec sheet, the line speed, and the inspector's trim orders, so the discretion you exercise — condemning a visibly abscessed section, deciding how deep to trim a bruise — is real but bounded and immediately reviewable by QA, which is a 4 rather than a 0.
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 (15/20 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 (2/20) is whether the law requires a licensed human to sign. Trust premium (2/20) is whether buyers specifically pay for a person. Judgment and accountability (4/20) 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 8 of this occupation's 39 points (21%).
Embodiment (16/20) 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
Butchers and Meat Cutters EXPOSED
Bakers 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 51/100, still EXPOSED.
Condemnation and disposition calls at the line — sorting suspect carcasses, identifying contamination for trim-versus-condemn — currently sit largely with FSIS inspectors, not packers. Under the New Swine Slaughter Inspection System (NSIS, 2019) and its poultry analogue, sorting duties were shifted onto plant employees while FSIS retains verification. Further extension of that shift to beef, or codification of plant sorters as a distinct accountable position after the litigation over NSIS line speeds, would make a subset of these workers owners of consequential calls under ambiguity.
Genuine two-tier structure: primal breakdown and straight-line cutting are the automatable tier (Danish Crown, Marel, Frontmatec deboning lines); the residual tier is variable-yield hand-boning, high-value trim on non-uniform carcasses, small-species and custom-exempt work, and species with no robotic line (lamb, goat, game, small-plant beef). As the routine tier goes, the remaining measured job is the judgment tier — but note this shrinks headcount even as per-worker resistance rises.
Religious slaughter is the one existing hard human requirement: kosher shechita requires a certified shochet and halal (per AHF/IFANCA and Malaysian JAKIM standards) requires a Muslim slaughterman reciting tasmiya per animal, with mechanical blades restricted or banned. If halal/kosher volume grows as a share of US output, or if importing states (Malaysia, Indonesia, Gulf) tighten rules against non-hand slaughter, the number of legally human-only positions rises. Separately, 9 CFR 313 humane-handling enforcement gives each plant a named Humane Handling Coordinator whose signature carries suspension risk — if FSIS makes that role a formally credentialed, individually accountable one rather than a plant-designated duty, that is a real shield.
Narrow route only: USDA custom-exempt and state-inspected small plants, whole-animal butchery, and dry-aging operations where buyers pay for named hand-cut work. The Local Meat Capacity grants and Meat and Poultry Processing Expansion Program have funded a real increase in small-plant count. This does not touch the modal high-speed plant worker and should not be read as protection for them.
The limit. Even with every lever, this occupation is capped low. Roughly 90%+ of employment is in large high-speed plants where the buyer is a retailer indifferent to whether a hand or a robot made the cut, and where capital investment in robotics is driven by injury liability and labor turnover rather than by cost alone. Halal/kosher and small-plant work are real but numerically small. Embodiment cannot be raised — it can only erode more slowly than expected, as wet-sanitation and carcass-variability engineering problems get solved.
| Fresno, CA | 2,690 | $39,420 -2% |
| New York-Newark-Jersey City, NY-NJ | 2,000 | $35,560 -11% |
| Chicago-Naperville-Elgin, IL-IN | 1,780 | $39,200 -2% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,720 | $41,950 +5% |
| Omaha, NE-IA | 1,330 | $46,390 +16% |
| Sioux City, IA-NE-SD | 1,120 | $49,600 +24% |
| Gainesville, GA | 920 | $35,680 -11% |
| Los Angeles-Long Beach-Anaheim, CA | 840 | $36,270 -10% |
| Trenton-Princeton, NJ | 40 | $52,180 +30% |
| Sioux City, IA-NE-SD | 1,120 | $49,600 +24% |
| Corpus Christi, TX | 50 | $49,460 +23% |
Modern Farmer reported that Tyson Foods plans to expand automation across its meat processing plants in response to labor shortages.
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