{ "source": "Cooked Index — occupational AI risk register", "page": "https://cookedindex.com/jobs/hydrologists/", "methodology": "https://cookedindex.com/methodology", "notice": "Verdicts are re-examined as evidence accumulates. Re-fetch before relying on this; the page above always carries the current score.", "scored_at": "2026-08-11", "model": "claude-opus-5", "occupation": { "title": "Hydrologists", "soc_code": "19-2043", "category": "Science", "us_employment": 5850, "median_annual_wage": 96600 }, "verdict": "EXPOSED", "risk_resistance": 48, "contested": false, "near_boundary": false, "dimensions": { "task_resistance": 11, "embodiment": 11, "liability_shield": 7, "trust_premium": 7, "judgment_accountability": 12 }, "reasoning": { "task_resistance": "Model calibration runs, rating-curve fitting, USGS gauge data QA, and the standard-format sections of a 404 permit or groundwater impact report can be scripted or generated today, but siting a monitoring well network on a specific site, deciding which aquifer test failed and why, and constructing a conceptual model of a fractured-rock system from sparse borehole logs still needs a hydrologist thinking about that basin — hence 11, not the 5 a pure data-processing analyst would get.", "embodiment": "Field weeks are real — wading streams for discharge measurements, bailing and purging wells, deploying pressure transducers and dataloggers, storm-event sampling in weather that does not wait — but they are a minority of billable hours against modeling and reporting, and much of the continuous record now arrives by telemetry, which is why this sits at 11 rather than up with a drilling crew.", "liability_shield": "Most states have no hydrologist licence; you sign as a Professional Geologist, PE, or Certified Professional Hydrologist where the state requires a stamp on a well permit or dam safety report, and plenty of work is issued under a firm's or an agency's name instead — a real but partial gate, well short of the personal, non-delegable exposure of a licensed structural engineer.", "trust_premium": "Repeat relationships with a water district, a state DEQ reviewer, or a mining client's environmental manager matter for winning the next contract, but the deliverable is a defensible model and a stamped report that a reviewer evaluates on its own terms, so the relationship supports the work rather than being the work.", "judgment_accountability": "You choose the design storm, the boundary conditions, the recharge assumption, and the safe yield number — calls where the data underdetermines the answer and the consequence is a floodplain designation, a contaminant plume capture zone, or a withdrawal permit — but they land inside FEMA, EPA, and state regulatory frameworks that constrain method and get peer-reviewed before they bind anyone, which keeps this at 12." }, "rationale": "A hydrologist's week splits between screen work — running MODFLOW/HEC-RAS models, processing gauge and well data, writing permit reports and impact assessments — and field work installing instruments, sampling wells, and surveying streams. The modeling and report tiers are exactly where AI is fastest: calibration scripting, literature synthesis, and regulatory boilerplate are already largely automatable. What persists is field judgment about messy sites, defending conclusions to regulators and courts, and owning the call when a model says a floodplain or aquifer is safe.", "outlook": "Employment holds roughly flat as water-scarcity and flood work grows, but per-project modeling and report hours compress hard, concentrating value in licensed, field-competent hydrologists who testify and sign.", "what_would_raise_it": { "levers": [ { "dimension": "liability_shield", "change": "FEMA's Letter of Map Revision (MT-2) and Conditional LOMR packages already require a registered PE or licensed land surveyor's seal on hydraulic analyses; extending equivalent seal requirements to groundwater work — e.g. more states adopting Professional Geologist/Geologist-in-Charge licensure (currently ~30 states, ASBOG-based) with an explicit requirement that aquifer test interpretations, wellhead protection delineations and CERCLA/RCRA groundwater fate-and-transport models carry a named licensee's stamp — would put personal liability on a human for exactly the model outputs AI generates. Watch state geology board rulemaking and any board statement that AI-generated modeling output constitutes unlicensed practice unless sealed after independent review.", "plausibility": "plausible", "would_add": 5 }, { "dimension": "liability_shield", "change": "State dam-safety and water-rights agencies requiring a licensed professional's certification on model files themselves, not just the report — e.g. Texas TCEQ or California DWR conditioning permit acceptance on a signed statement that the modeler personally verified calibration, boundary conditions and parameter choices. Parallel to engineering boards' emerging positions on AI-assisted design documents.", "plausibility": "plausible", "would_add": 3 }, { "dimension": "judgment_accountability", "change": "Task-mix shift is genuine here: the occupation has a clear routine tier (calibration scripting, gauge QC, permit boilerplate, literature synthesis) and a judgment tier (deciding whether a site conceptual model is even right, defending a floodplain delineation under Daubert challenge in water-rights adjudication or flood-litigation, calling an aquifer safe for a municipal supply). If the routine tier is largely automated, the residual role is dominated by consequential calls under ambiguity, and this dimension rises without any new law.", "plausibility": "already happening", "would_add": 4 }, { "dimension": "task_resistance", "change": "Same two-tier logic: once scripting and report drafting are absorbed, remaining hours concentrate in conceptual-model formulation from ambiguous field evidence, expert testimony preparation, and negotiating assumptions with opposing consultants — work current systems cannot do at usable quality. Note the countervailing risk: this shrinks headcount even as per-worker resistance rises.", "plausibility": "already happening", "would_add": 3 }, { "dimension": "trust_premium", "change": "Narrow route only: litigation and adjudication markets (interstate compact disputes, Colorado River and Rio Grande accounting, CWA/CERCLA cost-recovery cases) where courts and opposing counsel require a testifying human whose credentials and cross-examinability are the product. Federal Rule of Evidence 702 amendments (2023) tightening expert-basis scrutiny reinforce this. No plausible route to a general public-facing human premium for permit or consulting work.", "plausibility": "plausible", "would_add": 3 } ], "ceiling_note": "Realistic ceiling is mid-60s. Even with full PG-seal coverage, hydrology's liability shield is weaker than engineering's because much work is federal-agency in-house or consultant deliverables reviewed by agency staff rather than seal-gated. The bigger threat is not per-worker capability but volume: a 5,850-person occupation where the routine tier absorbs most billable hours can see the score rise while positions fall." }, "adjudication": null, "employment_history": { "points": [ { "y": 2017, "emp": 6350, "wage": 79990 }, { "y": 2018, "emp": 6290, "wage": 79370 }, { "y": 2019, "emp": 6440, "wage": 81270 }, { "y": 2020, "emp": 6170, "wage": 84040 }, { "y": 2021, "emp": 6390, "wage": 84030 }, { "y": 2022, "emp": 6270, "wage": 85990 }, { "y": 2023, "emp": 6150, "wage": 88770 }, { "y": 2024, "emp": 5720, "wage": 92060 }, { "y": 2025, "emp": 5850, "wage": 96600 } ], "from": 2017, "to": 2025, "change_pct": -7.9, "comparable_from": 2019, "spans_soc_revision": true }, "pivots": [], "license": "https://cookedindex.com/terms" }