EXPOSED
The modal technician gowns up, loads and unloads wafer carriers, runs recipes on deposition/etch/litho tools, monitors SPC charts, and clears alarms — most of the monitoring, logging, and chart-reading layer is already software's job, and modern fabs move wafers by overhead robotics without human hands. What persists is physical: crawling into a tool during a down event, swapping chamber parts, chasing particle sources, and making the judgment call to hold a lot. The threat here is industrial automation and fab-design consolidation more than language models, and it has been eroding this role for two decades even as CHIPS-funded fabs add headcount.
Dipped in 2020, then grew past where it started.
Median pay $38,060 → $51,430 +8.1% 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
+10.9% 31,900 → 35,400 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +10.9% 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.
~3,900 openings a year on average, including replacing people who leave.
Die AttacherWafer MounterCrystal CutterCrystal GrowerCrystal LapperCrystal SlicerProbe OperatorCrystal MounterResistor CoaterCircuit RecorderCrystal FinisherWafer FabricatorDiffusion OperatorLap Machine TenderProcess TechnicianReactor TechnicianSanding TechnicianSeed Core OperatorPolishing TechnicianGroup Level ProcessorSmall Group ProcessorChemical Etch OperatorLapping Machine TenderManufacture Specialist
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 9 the split is real: recipe execution, SPC charting, alarm logging and wafer transport are already handled by the tool's host software and OHT rails, but preventive maintenance on a chamber — breaking vacuum, replacing a focus ring or showerhead, wet-cleaning a quartz tube, requalifying with monitor wafers — still needs a gowned human in the bay, which is why this sits mid-band rather than at 4.
Hands-on in uncontrolled environments The work is bodily — bunny suit, gloves, hours standing at the tool, reaching into an etcher during a down event, handling HF and solvent lines — but it happens inside a Class 1 cleanroom with interlocks, SOPs and a shift lead, not on a roof or a roadside.
No licence, no signature requirement No state licence gates this bench: employers hire on a high-school diploma plus an associate degree or fab-specific training, and any credential (SEMI courses, an MSSC or community-college certificate) is a hiring preference — the process engineer's name, not yours, is on the released process spec.
Meaningful discretion An 8 reflects the daily latitude that OCAPs and SPC rules do not cover — deciding a chamber is drifting before it trips a limit, putting a lot on hold, calling out an equipment engineer at 3 a.m., choosing to rework or scrap — but the escalation path is short and engineering owns the disposition, so the ambiguous million-dollar calls end up above you.
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 (9/20 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 (8/20) 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 35 points (34%).
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.
No occupation passed every test: close enough to semiconductor processing technicians on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
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 48/100, still EXPOSED.
Task-mix shift is genuine here: as MES/APC software absorbs the SPC-watching, logging and recipe-launch tier, what remains is unscheduled down-event diagnosis — chamber teardown, particle source chasing, tool requalification after PM. If fab staffing plans formalize the split into 'operator' (automated away) vs 'equipment/process technician' (diagnostic), the surviving role's non-automatable share rises. Watch job postings at TSMC Arizona, Intel Ohio, Samsung Taylor shifting from 'manufacturing technician' to 'equipment maintenance technician' titles.
Formal hold authority: if fabs codify that a named technician (not the APC system) owns the decision to scrap or hold a lot after an excursion, with signature in the MES excursion record — driven by customer quality requirements such as IATF 16949 / AEC-Q100 traceability for automotive silicon, or ITAR/DMEA trusted-foundry audit trails on defense wafers — the role owns consequential ambiguous calls on the record.
Advanced-node tools (High-NA EUV, high-aspect-ratio etch, hybrid bonding) add more serviceable subsystems in tighter cleanroom spaces, and OEM service contracts (ASML, Applied, Lam) require physical human intervention for chamber-open work and source module swaps. If leading-edge and advanced-packaging capacity grows as a share of US fab work, the physical-unpredictable fraction of the day rises.
Weak but non-zero route: DMEA Trusted Foundry accreditation and defense-microelectronics supply-chain rules require named, cleared personnel to attest to process integrity on specific lots. If such attestation is pushed down to the technician signature level rather than the fab quality manager, a small shield appears. There is no state licensing board for this trade and none is being proposed.
The limit. Trust premium has no realistic route — wafer buyers purchase yield and parametric data, never the identity of the human who ran the tool, and nothing in the semiconductor supply chain prices human touch. The dominant threat is fab design and OEM automation, which no institutional lever offsets: a headcount-per-wafer-start reduction erases the occupation regardless of how much judgment the survivors own.
| Portland-Vancouver-Hillsboro, OR-WA | 7,290 | $62,810 +22% |
| Dallas-Fort Worth-Arlington, TX | 3,190 | $38,440 -25% |
| Phoenix-Mesa-Chandler, AZ | 2,260 | $78,940 +53% |
| San Jose-Sunnyvale-Santa Clara, CA | 2,130 | $50,820 -1% |
| Los Angeles-Long Beach-Anaheim, CA | 1,080 | $40,770 -21% |
| San Francisco-Oakland-Fremont, CA | 680 | $46,340 -10% |
| Boston-Cambridge-Newton, MA-NH | 560 | $59,110 +15% |
| Portland-South Portland, ME | 320 | $47,270 -8% |
| Phoenix-Mesa-Chandler, AZ | 2,260 | $78,940 +53% |
| Portland-Vancouver-Hillsboro, OR-WA | 7,290 | $62,810 +22% |
| Orlando-Kissimmee-Sanford, FL | 100 | $62,320 +21% |
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.