EXPOSED
The modal chemist splits time between hands-on bench work — sample prep, running HPLC/GC-MS/NMR, synthesis, instrument calibration — and screen work that AI now does well: literature review, spectral interpretation, statistical analysis, method write-ups, and CoA/report generation. The wet-lab half genuinely resists automation because glassware, air-sensitive chemistry, and troubleshooting a misbehaving instrument still need hands in a fume hood, but lab robotics plus AI-driven experiment design is compressing the routine QC tier fastest. There is no licensure requirement for chemists, so no regulatory moat — accountability comes from GLP/GMP documentation practice rather than a personal signature.
Roughly flat across the period, with year-to-year wobble.
Median pay $77,630 → $91,240 -6.0% 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
+4.9% 86,800 → 91,000 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +4.9% 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.
~6,300 openings a year on average, including replacing people who leave.
ChemistScientistOil ExpertMix ChemistAstrochemistCoal ChemistFood ChemistSoil ChemistBench ChemistDairy ChemistField ChemistMetal AnalystWater ChemistCereal ChemistElectrochemistPatent ChemistRubber ChemistBench ScientistCeramic ChemistControl ChemistMedical ChemistNuclear ChemistOrganic ChemistProcess Chemist
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Peak assignment, retrosynthesis proposals, DoE matrices, stability-study trending and OOS report drafting are already being handed to software, while the column change, the Schlenk line, and the karl-fischer titration that keeps failing at 3pm are not — roughly half the week is displaceable, which is why this sits at 10 and not 14.
Some physical or field component You are in a fume hood with a lab coat and safety glasses handling reactive solids and solvents, but it is a controlled, engineered space with fixed benches and instruments you return to — not a wellhead, a roof, or a customer's basement, so this lands at 12 rather than the 16+ of field sampling or process-plant work.
No licence, no signature requirement There is no state chemist licence: ACS membership is voluntary, the analyst who signs a batch record does so under the firm's GMP quality system, and it is the QP or QA director — not you — whose name carries the regulatory consequence, which is why 4 and not 0 only reflects certifications like ASQ or specific method training being preferred on the job req.
Meaningful discretion Deciding whether a deviation invalidates a batch, whether a synthesis impurity profile is acceptable, or whether an unexpected peak is contamination or a genuine degradant is real discretion with money attached, but it runs through SOPs, validated methods and a QA review chain rather than terminating with you, which caps it at 11.
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 (10/20 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 (4/20) is whether the law requires a licensed human to sign. Trust premium (6/20) is whether buyers specifically pay for a person. Judgment and accountability (11/20) 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 21 of this occupation's 43 points (49%).
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.
Nuclear Engineers EXPOSED
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 64/100, still EXPOSED.
Genuine two-tier structure: if lab robotics and AI absorb routine QC (dissolution, purity, release testing per fixed monograph), the residual chemist job becomes out-of-specification investigation, method development and validation, impurity structure elucidation, and root-cause failure analysis — work defined by novelty. Watch headcount shifting from 'QC analyst' to 'method development / OOS investigator' titles at CROs and CDMOs.
FDA/EU GMP data-integrity enforcement extending to AI-generated analytical results: a named 'responsible analyst' or QC-unit designee must personally attest, in the batch record, that AI-interpreted chromatograms/spectra were reviewed — echoing 21 CFR 211.194 signature requirements and EU GMP Annex 11 computerised-systems accountability. If Annex 11's revision (in draft consultation) mandates human review-and-sign for AI/ML-derived analytical decisions, this rises materially.
Formalisation of the OOS/OOT investigation owner as a named individual under FDA's OOS guidance and ICH Q9(R1) quality risk management — the person who decides whether a batch is released, invalidated, or retested, and who defends that call in an inspection or a product-liability deposition. If firms respond to AI-assisted testing by naming a single accountable scientist per decision rather than a committee, this rises.
Expansion of state Professional Chemist / Professional Engineer-style licensure or the ACS-backed 'certified chemist' sign-off for environmental compliance reports — some states already require a licensed professional to seal drinking-water and hazardous-waste analytical reports (e.g. certified lab director roles under EPA NELAP/TNI standards). If NELAP-accredited labs are required to have a named technical director personally certify each data package, that person's role gains a shield.
Task-mix shift toward the chemistry robots cannot handle: air-free/Schlenk and glovebox work, scale-up in pilot plants, heterogeneous and solid-state materials handling, and instrument repair/troubleshooting. Self-driving-lab platforms remain confined to well-behaved solution-phase reactions; if the automatable fraction leaves, the remaining day is more hands-in-hood, not less.
Expert-witness and forensic contexts: Daubert admissibility requires a human analyst who can be cross-examined on methodology; if courts explicitly reject AI-only spectral identification in forensic drug and toxicology casework, the analyst's ownership of the conclusion hardens.
The limit. Trust premium is the dead end — buyers of analytical chemistry purchase a number on a certificate, not a relationship, and no realistic mechanism makes a client pay more because a human ran the HPLC. Even with every lever above landing, this is an occupation that gets smaller and more senior rather than more protected: the shields attach to a named responsible analyst per lab, not to the analyst headcount.
| New York-Newark-Jersey City, NY-NJ | 6,750 | $85,150 -7% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 4,520 | $95,440 +5% |
| Los Angeles-Long Beach-Anaheim, CA | 3,190 | $87,060 -5% |
| Boston-Cambridge-Newton, MA-NH | 2,960 | $127,290 +40% |
| Chicago-Naperville-Elgin, IL-IN | 2,630 | $90,920 +0% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 2,490 | $144,680 +59% |
| Houston-Pasadena-The Woodlands, TX | 2,430 | $106,740 +17% |
| San Francisco-Oakland-Fremont, CA | 2,180 | $127,790 +40% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 2,490 | $144,680 +59% |
| Bay City, MI | 250 | $132,480 +45% |
| Midland, TX | 70 | $131,860 +45% |
New York State announced that Radical AI has established what it describes as the state's first fully autonomous materials science laboratories at the Brooklyn Navy Yard, using AI and robotics to run experiments.
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