EXPOSED
The modal CNC operator loads stock, presses cycle start, watches for chatter or tool wear, gauges parts with calipers and micrometers, and deburrs — physical work in a controlled shop, which language AI cannot touch but factory automation absolutely can. Bar feeders, pallet changers, robotic load cells, and in-process probing already erase the machine-tending core in higher-volume shops, and AI-assisted CAM shrinks the programming edit work that separates operators from setup techs. No license, no client relationship, limited discretion: the protection here is capital cost and small-batch variety, not irreplaceability.
Headcount grew steadily across the period.
Median pay $41,200 → $50,690 -1.6% 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
-10.7% 177,100 → 158,100 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -10.7% 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.
~13,500 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 Loading a vise and hitting cycle start is already done by robot arms and bar feeders in any shop with volume to justify the cell, but fixturing a one-off casting, dialing indicators to find a datum, and hearing a dull insert before it snaps still keep this at 11 rather than down near 5 — the automatable half is the running, not the setting up.
Hands-on in uncontrolled environments You are inside the enclosure with hot chips, coolant mist, hoists moving 200 lb billets, and a hand deburring tool — physically demanding and hazardous, but a fixed machine in a floored, lit, temperature-managed shop is not a wind turbine nacelle, which is why this lands at 13 and not 18.
No licence, no signature requirement Nothing you produce carries your name; NIMS credentials help you get hired and mean nothing legally, and when a part scraps out or fails inspection the liability sits with the shop's quality system, the engineer who released the print, and AS9100/ISO paperwork signed by someone else.
Executes defined procedures on defined inputs You choose feed and speed overrides, decide when an insert is done, and call the inspector when a dimension drifts — real calls, but bounded by the print's tolerances, the tooling library, and a documented first-article process, so 6 sits at the top of the procedural band rather than in genuine 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 (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 34 points (29%).
Embodiment (13/20) 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 46/100, still EXPOSED.
Shops that automate the lights-out, high-volume tier leave the operator with only short-run/prototype and hard-material setup work: fixturing one-off castings, dialing in tolerance stack-ups, deciding feeds for unknown stock. This task-mix shift is visible in job postings that already merge 'operator' into 'CNC machinist/setup tech' — the surviving role is the judgment tier, not the cycle-start tier.
Scrap-authority and stop-the-line authority being formally assigned to the operator rather than a supervisor — e.g. AS9100 nonconformance procedures naming the machine operator as the person who dispositions a suspect part, or IAM/UAW contract language on who may override a program. Where an operator's call on a $40k titanium billet is the recorded decision, this dimension rises.
Growth of the mixed-material, low-volume aerospace/medical MRO segment — repair of worn or warped parts where the workpiece geometry differs every time, defeating fixed fixturing and probing routines. Also any AS9100/NADCAP customer requirement for hands-on first-article dimensional inspection rather than in-process probe data alone.
Nothing licensing-based exists for this SOC and none is proposed. The nearest real mechanism is narrow: ITAR/DFARS 252.204 controlled-technical-data handling and FAA/DoD source-inspection rules that name a specific person as the certifier of a machined lot. If a prime contractor flowdown required a named, individually accountable machinist signature on first-article inspection reports (beyond today's QA-department sign-off), this moves from 1 to maybe 4 — not a license, just personal traceability.
The limit. Trust premium has no realistic route: buyers of machined parts specify tolerances and material certs, never the humanity of the machinist. There is no client relationship to monetize. Even with every lever above, the occupation stays capital-cost-protected rather than institutionally protected — the ceiling is roughly mid-40s, and it falls as machine-tending automation gets cheaper for small batches.
| Los Angeles-Long Beach-Anaheim, CA | 10,450 | $54,980 +8% |
| Chicago-Naperville-Elgin, IL-IN | 5,480 | $48,660 -4% |
| Houston-Pasadena-The Woodlands, TX | 5,200 | $50,280 -1% |
| Cleveland, OH | 4,770 | $48,670 -4% |
| Dallas-Fort Worth-Arlington, TX | 3,150 | $47,990 -5% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 3,010 | $57,850 +14% |
| Cincinnati, OH-KY-IN | 2,970 | $54,790 +8% |
| Detroit-Warren-Dearborn, MI | 2,900 | $46,880 -8% |
| Seattle-Tacoma-Bellevue, WA | 1,960 | $109,600 +116% |
| Boston-Cambridge-Newton, MA-NH | 1,890 | $64,180 +27% |
| Albany, OR | 290 | $64,170 +27% |
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 34. 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.