EXPOSED
The screen half of this job — reading gauges, logging batch data, adjusting setpoints toward a spec, flagging drift — is exactly what distributed control systems and now predictive process software absorb, and headcount per unit has been falling for two decades. What holds is the physical half: swapping filter media, cleaning fouled plates and centrifuge bowls, pulling samples, chasing leaks and blockages, and hand-cranking a still or separator back through an upset when the automation loses the plot. Modal worker is a plant-floor operator on rotating shifts, not a control-room engineer, and that grounding in dirty confined equipment is the main reason the role isn't gone.
Dipped in 2020, then grew past where it started.
Median pay $41,330 → $51,610 -0.1% 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
-4.3% 54,400 → 52,000 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -4.3% 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.
~5,400 openings a year on average, including replacing people who leave.
BolterBrewerMasherShakerTapperBlenderFlusherLeacherRiddlerShellerSmutterStemmerTreaterFiltererMaltsterPurifierScreenerStripperSublimerThresherWheelmanClarifierDistillerFermenter
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier At 10 the split is real: setpoint trimming, flow and temperature logging, and spec-chasing on a distillation column or centrifuge are already handled by DCS loops and advanced process control, while breaking a filter press, replating it, sluicing a plugged bowl, and re-establishing reflux after an upset still needs a body on the deck — roughly half the shift resists, which is why it sits mid-band rather than at 6 or 14.
Hands-on in uncontrolled environments 15 reflects work done at the equipment, not near it: climbing to sample points on a still, entering a vessel or filter housing under confined-space permit, handling caustic and solvent-wetted media, torquing flanges on hot lines, and doing it on 12-hour rotating shifts in whatever heat, noise, and slurry the plant produces — uncontrolled enough for the upper band but inside a fixed, mapped facility, which keeps it below the 18-20 of field service work.
Certification preferred, not legally required 5 is the floor plus a nudge: no state licence gates this work, and hiring is HS-diploma-plus-OJT, but process-safety-management sites do require documented operator training under 29 CFR 1910.119, plus HAZWOPER, confined-space, and lockout/tagout certifications — credentials your employer must show a regulator, not credentials that make you personally answerable for a bad batch.
Meaningful discretion 8 sits just above procedure-following because the batch sheet, SOP, and alarm limits define most calls, but the ones that matter — deciding a pressure differential means fouling rather than instrument drift, calling for a shutdown before a still runs away, judging whether a filtrate looks off-spec before the lab confirms it — are yours in the minute, and get reviewed afterward by process engineering rather than owned by you.
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 (10/20 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 (5/20) 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 (8/20) 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 16 of this occupation's 41 points (39%).
Embodiment (15/20) 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 57/100, still EXPOSED.
Sanitary/hazardous process equipment remains manually broken down and cleaned: if pharmaceutical and food plants continue to require CIP verification with human swab sampling and manual disassembly of centrifuge bowls, plate packs and filter housings under FDA cGMP (21 CFR 211.67) and confined-space entry permits under OSHA 1910.146 naming a human entrant and attendant, the physical tier stays non-substitutable regardless of control-room automation
Task-mix shift: as DCS and predictive process software absorb gauge-reading, logging and setpoint trimming, the residual job concentrates in upset recovery, fouling diagnosis and manual re-start of separators/stills when the model loses the plant — a genuinely two-tier occupation where the remaining tier is troubleshooting
State-licensed operator requirements extending to process units: e.g. if boiler/steam and wastewater-style operator certification (many states license wastewater and boiler operators by grade, with the certificate holder personally responsible for the shift) is applied to solvent recovery stills and hazardous-waste distillation under RCRA Subpart X or EPA process-unit rules, a named certified human owns the shift log
cGMP batch record signature discipline: if FDA data-integrity enforcement (Part 11, recent warning letters on unattributed electronic records) is read to require a named human operator's reviewed-by signature on each separation/filtration batch record rather than a system-generated attestation, the sign-off attaches to the operator
PSM-covered units: if OSHA 1910.119 process hazard analysis and management-of-change practice continues to require an operator's authority to abort or manually intervene in a runaway distillation — and insurers (FM Global, Chubb) condition coverage on a qualified human present with stop authority — the consequential-call ownership formally sits with the shift operator
The limit. Trust premium has no realistic route — the buyer buys purified product and never learns who tended the still. Aggregate ceiling is limited: even with licensure, this is commodity production where headcount per unit keeps falling; higher scores would describe fewer, more accountable jobs, not more jobs.
| Napa, CA | 1,400 | $64,000 +24% |
| New York-Newark-Jersey City, NY-NJ | 1,140 | $59,690 +16% |
| Modesto, CA | 1,000 | $73,690 +43% |
| Denver-Aurora-Centennial, CO | 980 | $51,180 -1% |
| Santa Rosa-Petaluma, CA | 970 | $61,550 +19% |
| Memphis, TN-MS-AR | 930 | $50,470 -2% |
| Riverside-San Bernardino-Ontario, CA | 800 | $50,150 -3% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 790 | $57,700 +12% |
| Syracuse, NY | 520 | $82,530 +60% |
| Vallejo, CA | 240 | $82,440 +60% |
| Atlanta-Sandy Springs-Roswell, GA | 640 | $80,140 +55% |
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 41. 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.