EXPOSED
A large share of the modal geoscientist's week is screen work — seismic and well-log interpretation, GIS map production, geochemical data reduction, literature review, and writing environmental and resource reports — and ML models already do automated fault picking, lithology classification from logs, and remote-sensing lineament mapping at usable quality. What holds is the field half: logging core, mapping outcrops, siting boreholes, supervising drilling, and the seismic-hazard or reserve-estimate calls that a licensed Professional Geologist signs and personally defends. The occupation splits between report-production staff, which compresses hard, and the licensed interpreter who owns the resource number or hazard determination.
This fall is concentrated in 2020 and has not recovered since.
Median pay $92,040 → $101,920 -11.4% 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
+3.2% 25,100 → 26,000 on the projections basis
Growing, and only partly exposed
The BLS expects +3.2% more of these jobs by 2034, and at 55/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
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.
~2,000 openings a year on average, including replacing people who leave.
GeodesistGeologistScientistGeochemistProspectorPetrologistCore AnalystGeomagnetistGeophysicistGeoscientistMineralogistOceanologistPetrographerSeismologistOceanographerRisk AssessorSoil EngineerStratigrapherVolcanologistMine GeologistPaleontologistPetrophysicistField GeologistGeomorphologist
Holding it up: judgment & accountability . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Automated fault picking, log-based lithology classification, and remote-sensing lineament extraction now cover a real fraction of the interpretation workflow, and report boilerplate for Phase I/II site assessments is templated — but core description, outcrop mapping, and deciding where the next hole goes still require a geologist standing on the ground, which is why this sits at 10 rather than 5.
Some physical or field component Field seasons put geoscientists on unimproved terrain, drill rigs, mine benches, and offshore platforms doing core logging, sample collection, and rig supervision, but the modal week for most of the 23,470 is at a workstation with the field component seasonal or delegated to technicians — episodic rather than daily exposure puts it at 12, not 17.
Licensed human required and personally liable Roughly thirty states license Professional Geologists and require a PG seal on geologic hazard reports, well-abandonment filings, and mine permits, and SEC S-K 1300 / NI 43-101 require a named Qualified Person to sign resource estimates — the 11 reflects that this stamp is mandatory for a specific slice of the work (regulatory filings, reserve reporting) while much industry interpretation and academic work carries no licensure requirement at all.
Exists to be accountable for ambiguous calls Assigning a probability to a seismic source, classifying ore into proven versus probable, or declaring a site clean under state closure standards are calls made on sparse, ambiguous subsurface data where the geologist's interpretation drives capital allocation and public safety, and being wrong shows up as a failed slope, a written-down reserve, or a reopened remediation — that ownership of consequence under genuine uncertainty is a 14.
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 (11/20) is whether the law requires a licensed human to sign. Trust premium (8/20) 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 33 of this occupation's 55 points (60%).
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 geoscientists, except hydrologists and geographers 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 67/100 — SAFE.
If seismic-hazard and induced-seismicity determinations become litigated more often — as in Oklahoma injection-well suits — and courts or state oil and gas commissions require a named geoscientist of record whose siting and hazard calls are deposable, the consequential-call ownership hardens. Similarly, a USGS/state-survey requirement that National Seismic Hazard Model inputs and CCS storage-permit geologic characterizations (EPA Class VI) name an individual accountable geologist.
Genuine two-tier structure: if automated fault picking, log lithology classification, and GIS map production absorb the report-production tier, the residual role is core description, borehole siting, structural model arbitration where seismic and well data conflict, and defending a reserve number to auditors — work with no clean training label. Watch for headcount falling while the surviving job description shifts to 'competent person / QP sign-off and field program design'.
Expansion of Professional Geologist licensure requirements: about 30 US states currently license PGs, and several (e.g. Texas, California) already require a PG seal on geologic hazard, mining reserve, and groundwater reports. A route upward is a state board rule (or a change to the Texas BPG/California BPELSG practice acts) explicitly stating that AI-generated interpretations — fault picks, lithology assignments, reserve volumes — must be independently verified and sealed by a licensed PG who assumes personal responsibility, plus adoption of PG-seal requirements in the ~20 states with no licensure. SEC S-K 1300 and Canada's NI 43-101 already require a named Qualified Person to sign mineral resource estimates; tightening QP definitions to bar reliance on unauditable model output would deepen this.
A growth in mandated physical verification would raise this: e.g. EPA Class VI carbon-storage permitting and critical-minerals permitting reform requiring on-site core logging and independently witnessed drilling supervision rather than desktop characterization. Expansion of CCS and lithium/rare-earth exploration drilling programs increases the share of the week that is outcrop, core shed, and rig floor.
The limit. Trust premium has no plausible route: buyers are oil companies, mining firms, and agencies who purchase a signature and a defensible number, not human authorship — they would accept machine interpretation the moment liability allowed it. Every realistic gain here is liability-driven, and it protects the licensed interpreter tier only; the GIS/report-production half of the occupation has no lever at all.
| Houston-Pasadena-The Woodlands, TX | 2,380 | $174,490 +71% |
| Denver-Aurora-Centennial, CO | 1,020 | $120,480 +18% |
| Los Angeles-Long Beach-Anaheim, CA | 810 | $94,660 -7% |
| Dallas-Fort Worth-Arlington, TX | 610 | $132,780 +30% |
| Seattle-Tacoma-Bellevue, WA | 540 | $107,800 +6% |
| Austin-Round Rock-San Marcos, TX | 490 | $92,930 -9% |
| Oklahoma City, OK | 490 | $119,990 +18% |
| Sacramento-Roseville-Folsom, CA | 490 | $119,950 +18% |
| Midland, TX | 370 | $219,140 +115% |
| Houston-Pasadena-The Woodlands, TX | 2,380 | $174,490 +71% |
| Palm Bay-Melbourne-Titusville, FL | 40 | $154,390 +51% |
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 55. 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.