EXPOSED
Chemical technicians spend their days preparing samples, running titrations and chromatographs, logging results into LIMS, and writing up routine test reports — the data-handling and reporting half is squarely in AI's wheelhouse, and the bench half is the part robotics and automated analyzers have been chipping at for two decades. What protects the modal technician is physical hands: weighing reagents, loading columns, fixing a leaking pump, sampling a live process line at 2 a.m. There is no license, no signature requirement, and no client who cares which technician ran the assay.
This fall is concentrated in 2020 and has not recovered since.
Median pay $49,260 → $60,390 -1.9% 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
+3.7% 57,000 → 59,000 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +3.7% 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.
~6,700 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 An 11 reflects the split inside a single shift: the HPLC sequence, the LIMS entry, the COA draft, and the trend chart are all things software already does end-to-end, while glassware setup, reagent prep to volumetric accuracy, swapping a fouled GC inlet liner, and grab-sampling a reactor stream still need a person standing there — it sits above the automatable band because autosamplers still cannot troubleshoot a baseline drift or improvise when a sample arrives as a viscous sludge, and below 14 because the analytical methods themselves are written down in ASTM/USP procedures a machine can follow.
Some physical or field component 12 is earned by work that is physical but in a room built for it — fume hoods, balance tables, controlled temperature and lighting — with excursions to plant sampling points, tank farms, and pilot lines where you're in Tyvek and a respirator; it doesn't reach 13+ because most of the day is a bench you designed the layout of, not an uncontrolled site.
No licence, no signature requirement A 3 is right because nothing in your credential stack is legally required: ACS certification and a two-year degree are hiring preferences, the method validation and any regulatory signature belong to the chemist or QA manager above you, and your initials on a worksheet document chain of custody rather than assume personal liability for the result.
Meaningful discretion 8 covers the real calls you make inside a fixed frame: deciding a control chart point is a genuine excursion versus a bad prep, choosing to rerun rather than report, spotting that a spike recovery is out of range before anyone downstream does — but the acceptance criteria, the OOS investigation trigger, and the disposition decision are written in the SOP and escalated upward, so you're not the one owning the ambiguous release call.
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 (3/20) is whether the law requires a licensed human to sign. Trust premium (5/20) 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 16 of this occupation's 39 points (41%).
Embodiment (12/20) 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 chemical 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 56/100, still EXPOSED.
Task mix shifting toward non-benchtop work that automation cannot reach: live-process sampling on plant lines, field environmental sampling, method troubleshooting and instrument repair (HPLC pump seals, GC column installs, mass spec source cleaning). Autosamplers and liquid handlers already absorb routine prep, which concentrates the remaining role in unstructured physical work in plants and field sites.
Two-tier split within the occupation: the routine titration/chromatograph-run/LIMS-entry tier automates, leaving method development, out-of-specification investigation, root-cause work on anomalous results, and instrument qualification (IQ/OQ/PQ) as the residual job. Only the subset of technicians in cGMP, USP, or ISO/IEC 17025 labs where OOS investigation is a documented required activity retains this tier.
ISO/IEC 17025 accreditation bodies (A2LA, ANAB) or FDA 21 CFR Part 11 data-integrity enforcement requiring a named, trained human analyst to attest to each result record where an AI or automated system generated or interpreted the data — i.e. extending the existing 'authorized approver' electronic-signature requirement so machine-generated interpretations cannot be self-approved. FDA warning letters on data integrity already push in this direction.
Formal ownership of OOS/OOT investigations and analyst-error determinations under FDA's OOS guidance, where the technician's judgment on whether a result is lab error versus true product failure drives batch disposition. If firms designate technicians rather than only supervising chemists as the responsible investigator of record, the role owns a consequential ambiguous call.
State licensure for environmental/drinking-water lab analysts expanding: some states already require certified operators or certified analysts for compliance samples under Safe Drinking Water Act certification programs. Extension of named-certified-analyst requirements to more compliance test categories would create a personal signature requirement where none exists.
The limit. Trust premium has no realistic route — no buyer of an assay result specifies which technician ran it, and accreditation logic deliberately makes analysts interchangeable. Even with all levers, the composite stays mid-range: the protections attach to specific regulated sub-sectors (pharma cGMP, accredited environmental labs), not to the modal industrial or academic chemical technician.
| New York-Newark-Jersey City, NY-NJ | 3,120 | $60,320 +0% |
| Houston-Pasadena-The Woodlands, TX | 2,620 | $65,050 +8% |
| Los Angeles-Long Beach-Anaheim, CA | 2,330 | $58,070 -4% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,370 | $66,940 +11% |
| Boston-Cambridge-Newton, MA-NH | 1,240 | $67,850 +12% |
| Chicago-Naperville-Elgin, IL-IN | 1,140 | $62,100 +3% |
| San Francisco-Oakland-Fremont, CA | 1,040 | $71,470 +18% |
| Dallas-Fort Worth-Arlington, TX | 950 | $62,990 +4% |
| Baton Rouge, LA | 410 | $92,120 +53% |
| Lake Charles, LA | 150 | $88,780 +47% |
| Evansville, IN | 220 | $85,230 +41% |
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 39. 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.