EXPOSED
The monitoring core of this job — watching temperature and pressure gauges, adjusting burner and damper settings to hold a curve, logging batch data, timing cycles — is exactly what PLCs, closed-loop sensors, and process-control software already do better and continuously; this displacement has been underway for decades and predates LLMs. What holds the job in place is the physical half: charging and drawing kilns, hooking rigging, breaking up slag and clinker, swapping thermocouples, and reacting to a jam or a refractory failure at 1,400°F, all in hot, dusty, variable plants where robots remain expensive and brittle. The modal worker is a tender on an increasingly instrumented line, so the trend is fewer operators covering more furnaces rather than none.
This fall is concentrated in 2020 and has not recovered since.
Median pay $40,090 → $48,040 -4.1% 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
+3%
Percentage only. The projection counts a different population from the 14,280 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +3% 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.
~1,900 openings a year on average, including replacing people who leave.
DrierFirerBoilerBurnerHeaterStokerTeaserBallmanTumblerAnnealerTempererGlue CookNodulizerPot FirerCupola ManFlat DrierKiln FirerLog CookerOil BoilerOven BakerPelletizerPot TenderSand DrierSoap Maker
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier At 10 the split is roughly even: the setpoint-holding, gauge-reading, cycle-timing and batch-logging half is already resident in the PLC and SCADA screens on most modern lines, while charging and drawing product, clearing clinker and slag, changing thermocouples and burner tips, and diagnosing a refractory hot spot by eye and sound have no software substitute — that's why it isn't a 5, and the fact that a fully instrumented tunnel kiln can run a shift with one person walking it is why it isn't a 15.
Hands-on in uncontrolled environments 14 reflects that the work happens at the furnace itself — pulling samples with tongs, rodding a plugged tap, rigging and craning charge baskets, wearing aluminized gear and a face shield near radiant heat, and shoveling out spillage on a dusty floor — an uncontrolled hot environment rather than a fixed enclosed cell, though it sits at 14 not 18 because the plant layout, the kiln car track, and the charge geometry are fixed and known rather than improvised on every job.
No licence, no signature requirement 3 is because there is no operator licence gating this work: most plants hire on a high school diploma and train on the line, and where credentials exist — a boiler or pressure-vessel operator ticket in some states, OSHA 1910.146 confined-space or hot-work permits, DOT or RCRA rules for incinerator feed — the permit and the liability attach to the plant, the permitting engineer, or the environmental manager, not to the person tending the burner.
Executes defined procedures on defined inputs 6 sits at the top of the procedural band: the recipe, hold time, ramp rate, and atmosphere come from an engineered process sheet, and deviations mean quarantining the batch or calling maintenance rather than deciding on the fly, but the tender does own the real-time call to shut down on an unstable flame, an overtemp, or a stuck kiln car — a decision made under alarm conditions from written procedure, not from ambiguous discretion.
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 (3/20) 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 (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 12 of this occupation's 36 points (33%).
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 52/100, still EXPOSED.
Genuine two-tier structure: once PLC/closed-loop control absorbs all gauge-watching and curve-holding, the residual job is abnormal-condition response — refractory spall, clinker jam, burner flameout relight, thermocouple drift diagnosis. If plants continue consolidating to one tender per multiple furnaces, the remaining day is almost entirely this non-routine tier
If NFPA 86 (ovens and furnaces) or ASME CSD-1 revisions require a named, trained operator to sign off on burner-management-system bypasses, safety-interlock overrides, and post-relight purge verification — rather than allowing software-only authorization — the signature becomes a licensed-person function; state boiler-operator licensing (e.g. NY, Ohio, Illinois municipal boiler licenses) extended to process heaters would do the same
If property insurers (FM Global, Zurich) condition hot-work and furnace coverage on a documented human authorization trail for every interlock bypass and emergency shutdown decision, the tender owns a consequential ambiguous call with an audit record attached
If OSHA's long-pending Heat Injury and Illness Prevention standard (rulemaking opened 2024) plus confined-space/hot-work permit enforcement makes remote-only or robotic intervention non-compliant without an attendant physically present, the on-floor charging/drawing/thermocouple-swap tier stays human and gains a required standby role per furnace bank
The limit. No realistic route to trust premium: buyers of cement, glass, heat-treated steel, or dried lumber purchase to spec and cannot perceive who tended the furnace. Even with every lever, the headcount trend — fewer tenders covering more instrumented furnaces — is not reversed by any of these; they raise the score of the surviving job, not the number of jobs.
| Los Angeles-Long Beach-Anaheim, CA | 380 | $38,900 -19% |
| Birmingham, AL | 290 | $57,220 +19% |
| Cincinnati, OH-KY-IN | 270 | $46,680 -3% |
| New York-Newark-Jersey City, NY-NJ | 270 | $49,170 +2% |
| Dallas-Fort Worth-Arlington, TX | 250 | $45,170 -6% |
| Cleveland, OH | 230 | $46,140 -4% |
| Atlanta-Sandy Springs-Roswell, GA | 220 | $48,540 +1% |
| Columbus, OH | 220 | $46,160 -4% |
| Louisville/Jefferson County, KY-IN | 70 | $81,840 +70% |
| Albany-Schenectady-Troy, NY | 40 | $81,530 +70% |
| Baltimore-Columbia-Towson, MD | 70 | $77,440 +61% |
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.