Geomorphologists

Life, Physical & Social Sciences

AI exposure

  • Data source: BLSPublished: 2026-08

    High· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.043

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.36

    0.09Range of values carried here0.70

    Group-level value

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    ISCO-08 unit group — every occupation sharing the code gets this value

    Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 60% score at or above this value.

    Source dataset

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

Exposed tasks only

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

TaskβE1 + 0.5 × E2
Communicate geological findings by writing research papers, participating in conferences, or teaching geological science at universities.

O*NET Task ID 3712

1.0
Develop applied software for the analysis and interpretation of geological data.

O*NET Task ID 3716

1.0
Review environmental, historical, or technical reports and publications for accuracy.

O*NET Task ID 21176

1.0
Analyze and interpret geological, geochemical, or geophysical information from sources, such as survey data, well logs, bore holes, or aerial photos.

O*NET Task ID 3702

0.5
Prepare geological maps, cross-sectional diagrams, charts, or reports concerning mineral extraction, land use, or resource management, using results of fieldwork or laboratory research.

O*NET Task ID 3705

0.5
Locate and estimate probable natural gas, oil, or mineral ore deposits or underground water resources, using aerial photographs, charts, or research or survey results.

O*NET Task ID 3706

0.5
Assess ground or surface water movement to provide advice on issues, such as waste management, route and site selection, or the restoration of contaminated sites.

O*NET Task ID 3707

0.5
Conduct geological or geophysical studies to provide information for use in regional development, site selection, or development of public works projects.

O*NET Task ID 3709

0.5
Advise construction firms or government agencies on dam or road construction, foundation design, land use, or resource management.

O*NET Task ID 3711

0.5
Analyze and interpret geological data, using computer software.

O*NET Task ID 15224

0.5
Plan or conduct geological, geochemical, or geophysical field studies or surveys, sample collection, or drilling and testing programs used to collect data for research or application.

O*NET Task ID 3703

0.0
Investigate the composition, structure, or history of the Earth's crust through the collection, examination, measurement, or classification of soils, minerals, rocks, or fossil remains.

O*NET Task ID 3704

0.0
Measure characteristics of the Earth, such as gravity or magnetic fields, using equipment such as seismographs, gravimeters, torsion balances, or magnetometers.

O*NET Task ID 3713

0.0
Test industrial diamonds or abrasives, soil, or rocks to determine their geological characteristics, using optical, x-ray, heat, acid, or precision instruments.

O*NET Task ID 3714

0.0
Inspect construction projects to analyze engineering problems, using test equipment or drilling machinery.

O*NET Task ID 20392

0.0

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information