EXPOSED
The core loop — watch temperature and pressure gauges, adjust valves and conveyor speeds, record batch readings, flag out-of-spec product — is exactly what PLCs, inline sensors and SCADA dashboards already do without a human in the chair. What keeps the job alive is the physical part: loading and unloading freezers and chillers, hosing down and sanitizing equipment, clearing jams, swapping ammonia or glycol lines, and reacting when a blast freezer or brine tank misbehaves mid-shift. The main threat here is plant capital automation rather than language AI, which means displacement arrives at the pace of equipment replacement, not software updates.
Part 2020 shock, part continued decline in the years since.
Median pay $35,290 → $41,330 -6.3% 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
+7.2% 7,100 → 7,600 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +7.2% 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.
~800 openings a year on average, including replacing people who leave.
CoolerFreezerIce MakerHog CoolerIce PullerIcebox ManCrystalizerMeat CoolerMold CoolerBatch FreezerCellar PersonCooler TenderIcebox WorkerNovelty MakerBrewery WorkerChiller TenderFreezer PersonCooler OperatorFreezer ManagerIce Cream MakerChiller OperatorFreezer OperatorMachine OperatorCooler Case Picker
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Setpoint monitoring, gauge logging and conveyor-speed tweaks are already closed-loop on any plant built in the last twenty years, but the same shift includes stacking product into a spiral freezer, breaking ice bridges off evaporator coils and hand-sanitizing a brine tank between runs — roughly half the shift is hands-on, which is why this lands at 11 and not at 5.
Hands-on in uncontrolled environments You work inside a -20°F blast freezer room and on wet, chlorinated floors, handling ammonia or glycol lines, dragging hoses, clearing jammed product from moving conveyors and manhandling crates — uncontrolled enough to sit at 14, short of 18 only because it is one plant with fixed equipment rather than varied outdoor or customer sites.
No licence, no signature requirement No state licence gates this work; the plant's HACCP plan, PSM program and the refrigeration engineer or QA manager who signs off carry the legal weight, and your batch temperature log is evidence for someone else's signature rather than your own credential — the 3 reflects only that ammonia-handling and forklift training are documented requirements.
Executes defined procedures on defined inputs Most calls are written down for you — hold the product if core temp misses spec, shut down and evacuate on an ammonia alarm, call maintenance on a compressor fault — with the real discretion limited to judging when a drifting reading means a fouled coil versus a bad probe and how much of a run to quarantine, which is a 6 rather than a 2.
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 (11/20 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 (3/20) 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 (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 11 of this occupation's 36 points (31%).
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 49/100, still EXPOSED.
Task-mix shift plus incident ownership: as SCADA absorbs gauge-watching, the remaining work is ammonia leak response, deciding whether a temperature excursion means product hold or release, and calling an evacuation. If FDA FSMA preventive-controls records required a named human to disposition each cold-chain deviation (rather than an automated CCP log), the excursion call becomes an owned decision.
Genuine two-tier job: if capital automation removes loading, conveyor tending and routine logging, what remains is defrost-cycle troubleshooting, glycol/ammonia charge diagnosis, and improvising through a compressor trip mid-batch — the non-scripted tier. Watch for plants consolidating three tender positions into one refrigeration technician-operator.
EPA Risk Management Program and OSHA PSM coverage of anhydrous ammonia refrigeration (>10,000 lb threshold) already require documented operator competency; if EPA's RMP Safer Communities rule enforcement or a state rule (e.g., California PSM for refineries extended to ammonia refrigeration) required a named, certified refrigeration operator physically on shift to authorize automated setpoint changes and sign hot-work/line-break permits, the sign-off becomes a person rather than a system. RETA CIRO/CARO certification is the existing credential that such a rule would attach to.
Little upward room; wet, cold, confined sanitation and line-break work in ammonia environments is already the score's basis. A shift toward larger centralized ammonia plants with more piping and more manual isolation points would sustain rather than raise it.
The limit. No plausible route to trust_premium — buyers of frozen product never learn who tended the freezer and no market signals for it. Realistic ceiling is roughly the high 40s, and it depends almost entirely on process-safety regulation attaching liability to a named certified operator; absent that, the trajectory follows equipment replacement cycles downward.
| Pittsburgh, PA | 160 | $36,090 -13% |
| Gainesville, GA | 140 | $47,160 +14% |
| Atlanta-Sandy Springs-Roswell, GA | 120 | $46,950 +14% |
| New York-Newark-Jersey City, NY-NJ | 110 | $51,460 +25% |
| Fayetteville-Springdale-Rogers, AR | 100 | $38,090 -8% |
| Los Angeles-Long Beach-Anaheim, CA | 70 | $40,580 -2% |
| Urban Honolulu, HI | 70 | $36,670 -11% |
| Lancaster, PA | 60 | $54,330 +31% |
| Dallas-Fort Worth-Arlington, TX | 50 | $65,850 +59% |
| Chicago-Naperville-Elgin, IL-IN | 40 | $65,320 +58% |
| St. Louis, MO-IL | 30 | $54,450 +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 36. 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.