COOKED
Hand packing — bagging, boxing, weighing, labeling, palletizing, inspecting for obvious defects — is physical work that language AI cannot touch, so the threat here is warehouse robotics and capital investment, not chatbots. The work happens in structured, repeatable environments with predictable item flows, which is exactly where automated case packers, bagging machines, robotic palletizers, and vision-based inspection are already deployed at scale in high-volume facilities. There is no license, no client relationship, and almost no discretion to protect the role; what slows displacement is capital cost and item variability, not skill defensibility.
Part 2020 shock, part continued decline in the years since.
Median pay $25,910 → $36,280 +12.0% 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
-5.4% 591,800 → 559,700 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -5.4% 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.
~74,000 openings a year on average, including replacing people who leave.
IcerTierBoxerCaserBaggerBulkerCraterFolderLinkerPackerPickerPrizerSackerBundlerWrapperInserterPackagerRepackerBurlapperEgg CaserRope TierBag FillerBag LoaderBag Sealer
Holding it up: task resistance . Weakest point: liability shield .
Tasks largely resist digitisation Grasping deformable produce, nesting odd-shaped SKUs into a carton, tucking void fill, and hand-wrapping fragile or promotional items are manipulation problems that vision-and-gripper systems still fail on outside of single-SKU high-volume lines — 14 rather than 18 because the repetitive case-packing, bagging, weighing, and palletizing portions of the shift already run unattended in large facilities.
Some physical or field component Every element of the job — standing at a line for a full shift, lifting cases to shoulder height, reaching into totes, walking pallets to staging — happens with the hands on the product, and the 12 rather than higher reflects that it happens indoors on a fixed line with climate control and no weather, traffic, or structural hazards.
No licence, no signature requirement No license, no certification, no exam: a packer can be hired and put on the line the same day, and if a mislabeled or short-weight carton reaches a customer it is the shipper's or manufacturer's regulatory exposure under FDA/FTC labeling rules, not the packer's — the 1 rather than 0 is only the employer-side food-handler or forklift card some sites require.
Executes defined procedures on defined inputs Decisions are bounded by a pack spec, a count, and a scale reading — pull the crushed can, flag the wrong label, call the lead over — with the 3 covering only the on-the-spot calls about whether an item is damaged enough to reject.
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 (1/20) 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 (3/20) 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 6 of this occupation's 32 points (19%).
Embodiment (12/20) 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.
Furniture Finishers 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 48/100 — EXPOSED.
Task-mix concentration into deformable and variable-item packing that grippers still fail on: apparel and soft goods, fresh produce and bakery, floral, mixed-SKU e-commerce singles picking. Amazon's own robotics disclosures still carry human 'pick/pack of unstructured items' as the residual; if the automatable rigid-case tier is capitalized out first, the remaining headcount sits in the physically hardest niches and this dimension rises for the survivors even as headcount falls.
Named-human verification requirements in regulated packaging: state cannabis rules (e.g. CA DCC, CO MED) already require designated personnel to verify package weight, child-resistance and label content with logged initials; DSCSA serialization and repackager rules similarly push a named verifier at the unit level. If such per-package human attestation extends to more regulated categories, or if FSMA-style traceability rules name an individual verifier rather than a firm, this moves off the floor.
Genuine two-tier split emerges where the remaining role is exception handling: reworking jams, verifying vision-system rejects, kitting and assembly of promotional/variable multipacks, and machine tending on short-run co-packing lines. Watch for job postings retitled 'packaging operator/line attendant' with machine-clearing and QC-sign-off duties inside the same SOC.
Allergen-changeover and lot-integrity calls being formally assigned to the packing line worker rather than a QA supervisor — line-clearance sign-off between allergen runs, hold/release decisions on suspect lots. Already documented in some SQF/BRC audit schemes as a signed line-clearance step.
Narrow and small: 'hand-packed' as a marketed attribute in specialty food, gift, cosmetics and DTC subscription boxes, plus prison-labor-free and fair-labor packaging certifications that buyers audit. This supports a few thousand jobs at premium co-packers, not the 559k base.
The limit. Even with every lever, this occupation stays low. Nothing here creates a license, a client relationship, or a personal liability that attaches to the packer as an individual, and the displacement driver is robot capex per station, which falls annually regardless of institutional posture. Realistic ceiling around 45-50, and that number describes a much smaller surviving workforce in harder niches rather than the current 559,820 jobs being protected.
| New York-Newark-Jersey City, NY-NJ | 51,020 | $43,450 +20% |
| Los Angeles-Long Beach-Anaheim, CA | 25,350 | $37,390 +3% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 23,180 | $43,970 +21% |
| Dallas-Fort Worth-Arlington, TX | 19,580 | $33,090 -9% |
| Chicago-Naperville-Elgin, IL-IN | 17,960 | $36,180 +0% |
| Boston-Cambridge-Newton, MA-NH | 11,250 | $33,740 -7% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 11,200 | $27,970 -23% |
| Riverside-San Bernardino-Ontario, CA | 10,560 | $38,400 +6% |
| Greeley, CO | 200 | $48,780 +34% |
| Sheboygan, WI | 410 | $47,550 +31% |
| Hinesville, GA | 50 | $45,970 +27% |
Food On Demand reports HelloFresh is using warehouse robots in its meal-kit fulfilment operations.
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