EXPOSED
This is hands-on shop work — mounting cutters on grinding machines, dressing wheels, checking clearance angles with optical comparators and micrometers, hand-filing burrs — and none of that is text or screen work an LLM touches. The real threat isn't AI but CNC tool-and-cutter grinders and automated resharpening cells that already handle repeat geometries at volume, plus disposable carbide inserts that eliminate resharpening entirely. Employment is small (about 5,600) and has been shrinking for years; the surviving tier is the grinder who can set up and program a 5-axis CNC grinder and handle one-off, custom, or damaged tooling that no automated cycle covers.
Part 2020 shock, part continued decline in the years since.
Median pay $39,330 → $50,060 +1.8% 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
-7.8% 5,800 → 5,400 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -7.8% 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.
~500 openings a year on average, including replacing people who leave.
FilerGrinderDeburrerFinisherPolisherSaw FilerSharpenerDie BarberDie FitterDie ReamerSaw FitterTool FilerDie GrinderDie TrimmerCard GrinderDie PolisherFinish FilerTool DresserTool GrinderDie SharpenerCutter GrinderThread GrinderTool SharpenerPrecision Honer
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Regrinding a standard end mill or hob to a fixed geometry is already a CNC cycle on a Walter or ANCA machine, but chasing a chipped form tool with no print, deciding whether a burned edge can be saved, and blending a relief by hand on a pedestal grinder still needs a person at the wheel — mixed, and the split is roughly by batch size.
Hands-on in uncontrolled environments You are physically indexing cutters in fixtures, dressing and truing wheels, feeling for chatter, breathing coolant mist and abrasive dust, and hand-filing burrs on parts you hold — an uncontrolled shop floor, though it stops short of 18-20 because the work sits at a machine in one bay rather than on a moving jobsite.
No licence, no signature requirement No state licence, no board, no certification anyone asks for at hire; a machinist card or an employer's in-house sign-off is the whole credential, and a tool that fails in service is the shop's warranty problem, not yours personally.
Meaningful discretion You decide stock removal, wheel grit, and whether a worn cutter is scrap or salvageable, which is genuine discretion on a one-off — but for the bulk of the work the print, the manufacturer's angles, and the comparator overlay tell you what right looks like.
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 (4/20) is whether buyers specifically pay for a person. Judgment and accountability (7/20) 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 37 points (32%).
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 is genuinely bifurcated here: if disposable inserts and automated resharpening cells absorb the repeat-geometry volume (already happening at Star Cutter, ANCA-equipped service shops), the residual job is one-off custom form cutters, broach and hob repair, damaged/oversize tooling and 5-axis CNC grinder setup and wheel-path programming — work with no automated cycle. Watch for the occupation's remaining postings shifting from 'grinder operator' to 'tool grinder/programmer' titles requiring Numroto or ANCA iGrind experience.
If prime contractors push AS9100/NADCAP-style traceability down to regrind vendors — requiring a named technician to certify that a resharpened cutter meets original clearance/rake spec and to disposition tools with heat-check or micro-chipping as scrap vs. salvage — the call on a $4,000 cutter and the part it will machine becomes an owned, documented decision. Watch for regrind certificates of conformance naming an individual in aerospace supplier flowdowns.
If reshoring of aerospace and medical-device machining raises demand for on-site regrind of large or fixtured tooling (broaches, gear hobs, PCD-tipped cutters) that cannot be shipped to a centralized automated cell, the work concentrates in unpredictable manual setup — wheel dressing, in-machine probing, hand stoning of edges — rather than tended cycles.
Narrow route only: custom knifemaking, woodworking, and surgical/barber shear sharpening where buyers pay named craftsmen and refuse machine-only service. This is a different market, not the industrial occupation, and cannot absorb 5,600 workers.
The limit. Liability shield is effectively unreachable — there is no license, no board, no personal signature requirement anywhere in tool grinding, and none has ever been proposed. Even with every lever above, the ceiling is roughly the mid-40s, and it sits on top of a shrinking base: disposable carbide inserts remove the work rather than automate it, so headcount can fall while the surviving role gets harder to displace.
| Los Angeles-Long Beach-Anaheim, CA | 290 | $46,580 -7% |
| Portland-Vancouver-Hillsboro, OR-WA | 220 | $60,760 +21% |
| Seattle-Tacoma-Bellevue, WA | 170 | $102,390 +105% |
| Grand Rapids-Wyoming-Kentwood, MI | 150 | $43,470 -13% |
| New York-Newark-Jersey City, NY-NJ | 110 | $48,580 -3% |
| St. Louis, MO-IL | 100 | $61,550 +23% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 70 | $44,050 -12% |
| Eugene-Springfield, OR | 50 | $75,630 +51% |
| Seattle-Tacoma-Bellevue, WA | 170 | $102,390 +105% |
| Eugene-Springfield, OR | 50 | $75,630 +51% |
| Dayton-Kettering-Beavercreek, OH | 30 | $64,350 +29% |
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 37. 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.