EXPOSED
This job is hands-on — loading blanks, changing tooling, listening for chatter, gauging parts, clearing chips across a bank of mills, lathes, or presses — so language AI barely touches it directly. The real pressure is conventional factory automation: bar feeders, robotic load/unload cells, pallet changers, in-machine probing and automated vision inspection are exactly the technologies that let one operator run twelve machines instead of four, and then zero on a night shift. The threat is headcount compression per unit of output, not the disappearance of the skill set, and it moves at the speed of capital spending, not model releases.
Part 2020 shock, part continued decline in the years since.
Median pay $36,330 → $47,180 +3.9% 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
-0.5% 131,000 → 130,300 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -0.5% 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.
~12,800 openings a year on average, including replacing people who leave.
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Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Setting offsets, indexing a fresh insert, deburring a part, and reading a Bridgeport's sound at the cut still need hands and eyes at the machine, but the tending half of the job — cycle-start, load, unload, gauge-to-print — is already done by bar feeders, gantry loaders and in-process probing in shops that have bought them, which is why this sits at 11 rather than up with millwright work.
Hands-on in uncontrolled environments You are inside the work envelope on your feet a full shift: hoisting fixtures, flooding coolant, augering chips, wearing safety glasses and sleeves around rotating stock and a press ram, in a shop where floor temperature, oil mist and material variation change hour to hour — short of the 17-20 band only because it happens on one guarded machine bank rather than a jobsite or overhead.
No licence, no signature requirement No state licence gates running a lathe or an injection press; a shop can put an unbadged temp on second shift after a week of shadowing, and NIMS credentials or an apprenticeship card affect what you get paid, not whether you are legally permitted to cut metal.
Executes defined procedures on defined inputs You work to the print, the router, and the setup sheet with tolerances and feeds specified, and the calls you own — pull the insert now or after ten more parts, scrap this one or send it to review — are real but bounded and reversible, with the engineer or QC signing off on anything that touches the process or a nonconformance.
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 (1/20) 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 10 of this occupation's 35 points (29%).
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.
As lights-out cells absorb steady-state running, the surviving role becomes first-article setup, tool-path proofing, fixture design, and diagnosing chatter/thermal drift on new part numbers — genuinely a second tier in high-mix low-volume job shops (aerospace/medical machining), where setups per week rise as batch sizes fall. Watch for job postings shifting from 'operator/tender' to 'CNC setup technician' with a required GD&T and metrology component.
AS9100/NADCAP and FDA 21 CFR 820 first-article and process-validation records already require a named, qualified individual to sign FAI/AS9102 forms and validation runs. If prime contractors or notified bodies tighten this to require a certified operator signature on each setup approval where in-machine probing substitutes for CMM inspection — the direction DFARS/CMMC-era supplier audits are pushing — a signature requirement attaches to the setter specifically.
If scrap authority and stop-the-line rights are formally vested in the setup technician rather than a quality engineer — as in some UAW/IAM contracts and in ISO 9001 nonconforming-product procedures naming the operator as the disposition initiator — the role owns a consequential ambiguous call (run it, rework it, scrap a $4,000 forging) on every questionable first article.
Deburring, chip management, coolant-covered fixture reloads, and hard-jaw changes on non-repeat parts remain unsolved by robot cells; if the machine population shifts further toward mixed-lot work where fixturing changes daily, the residual manual share per shift rises even as machines-per-operator rises.
The limit. Every lever here raises the score of the job that survives, not the number of jobs. Headcount compression from bar feeders, pallet pools and robot load/unload continues regardless of how defensible the remaining setup role becomes — a shop can go from 12 tenders to 3 setup technicians with high liability_shield and judgment_accountability scores. Realistic ceiling around 50-55 for the residual role.
| Chicago-Naperville-Elgin, IL-IN | 5,460 | $45,030 -5% |
| Dallas-Fort Worth-Arlington, TX | 5,440 | $80,110 +70% |
| St. Louis, MO-IL | 4,480 | $62,090 +32% |
| Detroit-Warren-Dearborn, MI | 4,310 | $51,210 +9% |
| New York-Newark-Jersey City, NY-NJ | 2,720 | $45,350 -4% |
| Houston-Pasadena-The Woodlands, TX | 2,320 | $42,050 -11% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 2,080 | $49,260 +4% |
| Cleveland, OH | 2,000 | $49,070 +4% |
| Dallas-Fort Worth-Arlington, TX | 5,440 | $80,110 +70% |
| Charleston, WV | 90 | $71,470 +51% |
| Saginaw, MI | 130 | $65,610 +39% |
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 35. 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.