← Risk register SOC 19-3092 · reviewed 2026-08-11

Geographers

1,400 US workers · median $102,040/yr · Science

COOKED verdict contested

The daily reality of this job is GIS work at a screen: cleaning spatial datasets, running buffer/overlay/suitability analyses, producing cartographic outputs, and writing up findings for planners, agencies, or clients — and AI plus automated geoprocessing pipelines now do large parts of that at usable quality. What resists is research design (choosing the right spatial model and defending it), fieldwork and ground-truthing, and being the person who stands behind a land-use or hazard conclusion in front of a commission. There is no license and no signature requirement, so the occupation has no regulatory floor, and at 1,400 US jobs it is small enough that modest productivity gains absorb hiring.

10-year outlook: By the mid-2030s the analyst tier of geography is largely absorbed into automated geospatial pipelines run by planners and data engineers; the surviving geographers are credentialed domain experts who design studies and defend them publicly.

US employment, 2019–20250.0%
1,4001,400 workers

Roughly flat across the period, with year-to-year wobble.

Median pay $81,540 → $102,040 +0.1% in real terms (nominal +25.1%, less ~25% US inflation over the period)

The job count is not the verdict

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

-3.1% 1,500 → 1,500 on the projections basis

Exposed, and shrinking

Both signals point the same way: the tasks are largely automatable and the BLS projects -3.1% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.

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.

~100 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 15 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

ScientistGeographerGlaciologistBiogeographerGeomorphologistImagery AnalystEconomic GeographerPhysical GeographerPolitical GeographerNatural Resource SpecialistEarth Observations ScientistCultural Resources SpecialistGIS Geographer (Geographic Information Systems Geographer)GIS Coordinator (Geographic Information Systems Coordinator)GIS Physical Scientist (Geographic Information Systems Physical Scientist)

Score — 32/100 resistance

Holding it up: judgment & accountability (10/20). Weakest point: liability shield (2/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 8 + 6 + 2 + 6 + 10 = 32. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 8/20

Mixed — a routine tier and a judgment tier An 8 reflects that the bread-and-butter deliverables — geocoding, raster reclassification, weighted-overlay suitability models, choropleth map production, remote-sensing land-cover classification — are already scripted in ArcPy/GEE or handled by AI-assisted pipelines, while the parts that hold (specifying a spatial model that survives a peer or commission challenge, deciding what the census tract boundary artifact is doing to your result) are a minority of billable hours rather than the whole day.

Embodiment 6/20

Some physical or field component A 6 is for the field weeks that punctuate an otherwise screen-bound year: GPS ground-truthing of classified imagery, site reconnaissance for a land-use study, survey administration in the study area — real but seasonal, and much of the observational work is being displaced by higher-cadence satellite and drone imagery you never leave the office to collect.

Liability shield 2/20

No licence, no signature requirement A 2, not 0, because some geographers carry GISP certification or work under a PE/PLS who seals survey-derived products, but no state requires a licensed geographer to sign a suitability analysis or hazard map, so nothing legally blocks an employer from replacing your workflow with software.

Trust premium 6/20

Some relationship component A 6 covers the repeat-client and agency relationships — the planning department that calls you because you know their parcel data's quirks and their commission's history — but the deliverable is a map and a report that another analyst could produce, and procurement often treats it that way.

Judgment & accountability 10/20

Meaningful discretion A 10 is right because you genuinely choose the spatial weights, the scale of analysis, and which uncertainty to disclose in a hazard or siting conclusion, but the decision itself is made by the planning commission, agency, or client who takes your map as one input among many and bears the consequences.

The verdict on this page is contested. We scored this occupation twice, independently, and the two runs disagreed: 32/100 — COOKED and 35/100 — EXPOSED. Combining them doesn't settle it — the answer changes depending on how the halfway points are rounded, which is a property of our arithmetic and not of the job. Rather than pick the side that suits us, we've left the original verdict in place and flagged it. Read the dimension scores below and the reasoning attached to each; on this page they carry the information, and the one-word label does not.

Confidence: medium · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: judgment

How to future-proof this job

Training paths for your skill gaps: Coursera — teaching and instructional design, audit free free to audit · Learning How to Learn — the most-taken course on Coursera, and free free to audit · edX — performance measurement and evaluation free to audit · Toastmasters — public speaking practice at local clubs worldwide low · freeCodeCamp — full curriculum, certification at the end free · Coursera — quality control and inspection courses, auditable free free to audit · OSHA Outreach Training — the 10- and 30-hour cards most employers ask for low · edX — operations management and process monitoring courses free to audit · Coursera — negotiation, influence and persuasion courses free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Anthropology and Archeology Teachers, Postsecondary EXPOSED · 51/100 · you already have ~79% of the skill profile

Skills to close: Instructing, Learning Strategies, Monitoring, Speaking

Physical Scientists, All Other EXPOSED · 42/100 · you already have ~74% of the skill profile

Skills to close: Programming, Quality Control Analysis, Operation and Control, Operations Monitoring

Political Science Teachers, Postsecondary EXPOSED · 42/100 · you already have ~71% of the skill profile

Skills to close: Instructing, Learning Strategies, Speaking, Persuasion

What would move this back up — beyond any one person

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 — EXPOSED.

4 specific changes that would raise this score
  • already happening task resistance +4

    Genuine two-tier structure: buffer/overlay/cartography is the routine tier and is going. If the residual job concentrates in research design (choosing spatial weights, MAUP and edge-effect decisions, defending a model to a skeptical board) plus ground-truthing that automated pipelines mis-specify, measured task_resistance rises with no law change — but headcount is what shrinks in that scenario.

  • plausible judgment accountability +4

    If expert-witness and commission-testimony work grows as the defensible core — e.g. Daubert challenges to AI-generated suitability or flood models forcing a named human to author and defend the spatial method — the role becomes the accountable analyst of record rather than the map producer.

  • plausible embodiment +3

    If agency data-quality rules require documented field verification of remotely-sensed classifications (e.g. USDA/NRCS or state wetland delineation protocols mandating on-site ground-truth samples per map unit), the fieldwork share of the job becomes non-optional.

  • unlikely liability shield +5

    Several states (TX, CA, NC) already require a licensed Professional Land Surveyor or licensed geologist/engineer to seal maps and hazard delineations; if FEMA Risk MAP or state hazard-mapping programs extended sealing requirements to flood/landslide/wildfire delineation products — or if a state adopted a 'certified geospatial professional' credential tied to GISCI with statutory signature authority for regulatory maps — geographers doing that work would sit behind a personal seal.

The limit. At 1,400 US jobs the occupation is too small to attract its own licensure regime; realistic paths run through absorption into surveying, geology, or planning licensure rather than a geographer credential. Trust premium has no plausible route — buyers purchase maps and conclusions, not the identity of the mapmaker.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 3 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Washington-Arlington-Alexandria, DC-VA-MD-WV 280 $118,290 +16%
Austin-Round Rock-San Marcos, TX 120 $76,000 -26%
Baltimore-Columbia-Towson, MD 30 $104,770 +3%

Best paid

Washington-Arlington-Alexandria, DC-VA-MD-WV 280 $118,290 +16%
Baltimore-Columbia-Towson, MD 30 $104,770 +3%
Austin-Round Rock-San Marcos, TX 120 $76,000 -26%

Percentages are against this occupation's national median of $102,040. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

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 32. 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.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

Watch this verdict
Kept current

Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.

Cooked Index — Geographers: COOKED, 32/100.
Scored 2026-08-11 · printed from https://cookedindex.com/jobs/geographers/
Verdicts are re-examined as evidence accumulates, so this sheet goes out of date. Check the page above for the current score, the reasoning behind each dimension, and what would move it.