Geography Teachers, Postsecondary

Education & Training

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

    0.000

    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

    0.37

    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, 53% 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

Show 6 hidden tasks

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
Maintain student attendance records, grades, and other required records.

O*NET Task ID 6010

1.0
Prepare course materials, such as syllabi, homework assignments, and handouts.

O*NET Task ID 6011

1.0
Compile bibliographies of specialized materials for outside reading assignments.

O*NET Task ID 6024

1.0
Write grant proposals to procure external research funding.

O*NET Task ID 6026

1.0
Maintain geographic information systems laboratories, performing duties such as updating software.

O*NET Task ID 6027

1.0
Prepare and deliver lectures to undergraduate or graduate students on topics such as urbanization, environmental systems, and cultural geography.

O*NET Task ID 6006

0.5
Evaluate and grade students' class work, assignments, and papers.

O*NET Task ID 6007

0.5
Compile, administer, and grade examinations, or assign this work to others.

O*NET Task ID 6008

0.5
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

O*NET Task ID 6012

0.5
Supervise undergraduate or graduate teaching, internship, and research work.

O*NET Task ID 6013

0.5

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