SAFE
The core of this job — crawling into a press to find a failing bearing, aligning couplings, rebuilding hydraulic cylinders, chasing an intermittent PLC fault while the line is down — is hands-on work in cramped, hot, noisy, non-standardized environments that today's robotics cannot touch. AI erodes the paperwork edges: work-order writing, parts lookup, manual interpretation, and predictive-maintenance alerts that tell you what to inspect. Diagnosis of vibration, sound, heat and slop in worn machinery, and the call on whether to patch or shut down production, stays with the human on the floor.
Dipped in 2020, then grew past where it started.
Median pay $53,590 → $64,520 -3.7% 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
+16.1% 439,600 → 510,300 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +16.1% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
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.
~45,700 openings a year on average, including replacing people who leave.
FixerFeltmanMechanicReed ManOutfitterComb FixerLoom FixerOverhaulerPin PullerPin PusherPin SetterChannel ManComb SetterFrame FixerReed WorkerSiene MakerSpare FixerTool SetterBag AdjusterBuhr DresserFelt CheckerMill DresserPump ErectorRig Mechanic
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation A vibration-analysis app can flag a bad bearing, but nothing else pulls the sheave, presses in a new race, shims the motor back into alignment within 0.002", and re-tensions the belts on a 40-year-old machine with no CAD model — that's why this sits at 17 rather than mid-band, with only the parts-catalog searching, manual lookup and CMMS entry genuinely ceded.
Hands-on in uncontrolled environments You work inside the machine: confined-space entry into mixers and augers, LOTO on 480V panels, torching seized fasteners overhead, laying in coolant and oil on plant floors that run hot in August — there is no version of this performed from a chair, which is what 20 means.
Certification preferred, not legally required No state licence gates industrial mechanic work; you may hold boiler, forklift, welding or refrigerant (EPA 608) tickets and OSHA 10/30, but the employer and the plant carry the liability, so the 5 reflects certifications that shape what you're allowed to touch rather than any personal legal standing.
Exists to be accountable for ambiguous calls The call at 2am on whether a knocking gearbox finishes the shift or shuts down a $30k/hour line is yours with incomplete information, as is deciding that a repair is beyond safe field patching — that ownership of ambiguous, expensive, safety-adjacent calls is a 14, held below the top band because a plant engineer or OEM tech is reachable on the big capital decisions.
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 (17/20 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 (11/20) is whether buyers specifically pay for a person. Judgment and accountability (14/20) 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 30 of this occupation's 67 points (45%).
Embodiment (20/20) 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 81/100, still SAFE.
State boiler/pressure-vessel and refrigeration codes already require licensed persons (e.g., NYC refrigeration operating engineer license, ASME/National Board R-stamp welder-mechanic certification for repairs to pressure equipment). Extension of R-stamp-style credentialed repair to more classes of powered equipment, or insurer refusal to cover claims where an uncertified party performed the repair, raises this
Task-mix shift is genuine here: predictive-maintenance platforms (Augury, Uptake, plant CMMS) are absorbing the routine PM-round and parts-lookup tier, leaving intermittent-fault chasing, retrofit and rebuild work — the tier where the diagnosis is ambiguous and the machine is non-standard. If PM rounds and scheduled greasing become sensor-triggered, the residual day is almost entirely judgment-tier
OEM-authorized service networks (e.g., Siemens, Fanuc, Bosch Rexroth) tying warranty validity to a named factory-certified technician; buyers then pay specifically for the credentialed human's presence to preserve coverage
OSHA-driven expansion of formal lockout/tagout and machine-guarding sign-off: if OSHA 1910.147/1910.212 enforcement or insurer requirements evolve so that a named, certified mechanic must personally certify guard and interlock restoration after any repair (as already required in some ammonia-refrigeration PSM programs under 1910.119, where a qualified operator/mechanic signs mechanical-integrity records), the signature becomes legally load-bearing rather than clerical
If plants formalize the shut-down-or-run call — a documented mechanic authority to stop a line, analogous to aviation maintenance sign-off or a union safety-stop clause in USW/UAW contracts — the call becomes an owned, recorded decision rather than an informal one
The limit. Embodiment is already maxed at 20 and cannot rise. Trust premium has a low ceiling: industrial buyers pay for uptime, not for humanness, and will switch to any tool that restores the line faster. The realistic headroom is in liability and formal shut-down authority, not in customer preference.
| Houston-Pasadena-The Woodlands, TX | 18,360 | $63,180 -2% |
| Dallas-Fort Worth-Arlington, TX | 12,730 | $63,380 -2% |
| New York-Newark-Jersey City, NY-NJ | 10,780 | $75,260 +17% |
| Chicago-Naperville-Elgin, IL-IN | 8,710 | $75,800 +17% |
| Los Angeles-Long Beach-Anaheim, CA | 8,500 | $72,090 +12% |
| Detroit-Warren-Dearborn, MI | 6,520 | $71,100 +10% |
| Atlanta-Sandy Springs-Roswell, GA | 6,120 | $62,000 -4% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 5,500 | $70,340 +9% |
| Longview-Kelso, WA | 560 | $96,950 +50% |
| Parkersburg-Vienna, WV | 200 | $93,670 +45% |
| Kokomo, IN | 240 | $91,470 +42% |
GIGAZINE reports that Ford's AI-led factory automation underperformed, leading the automaker to rehire experienced human technicians.
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