Graduate Teaching Assistants

Education & Training

AI exposure

  • Data source: BLSPublished: 2026-08

    Very 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

    0.100

    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

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
Return assignments to students in accordance with established deadlines.

O*NET Task ID 10957

1.0
Inform students of the procedures for completing and submitting class work, such as lab reports.

O*NET Task ID 10959

1.0
Notify instructors of errors or problems with assignments.

O*NET Task ID 10961

1.0
Meet with supervisors to discuss students' grades or to complete required grade-related paperwork.

O*NET Task ID 10962

1.0
Complete laboratory projects prior to assigning them to students so that any needed modifications can be made.

O*NET Task ID 10966

1.0
Develop teaching materials, such as syllabi, visual aids, answer keys, supplementary notes, or course Web sites.

O*NET Task ID 10967

1.0
Evaluate and grade examinations, assignments, or papers, and record grades.

O*NET Task ID 10956

0.5
Prepare or proctor examinations.

O*NET Task ID 10960

0.5
Teach undergraduate-level courses.

O*NET Task ID 10965

0.5
Provide assistance to faculty members or staff with laboratory or field research.

O*NET Task ID 10968

0.5
Lead discussion sections, tutorials, or laboratory sections.

O*NET Task ID 10955

0.0
Schedule and maintain regular office hours to meet with students.

O*NET Task ID 10958

0.0
Copy and distribute classroom materials.

O*NET Task ID 10963

0.0
Demonstrate use of laboratory equipment and enforce laboratory rules.

O*NET Task ID 10964

0.0
Attend lectures given by the supervising instructor.

O*NET Task ID 20879

0.0
Arrange for supervisors to conduct teaching observations and provide feedback about teaching performance.

O*NET Task ID 20880

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