Substitute Teachers, Short-Term

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: ILOPublished: 2025

    0.33

    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, 63% score at or above this value.

    Source dataset

  • Data source: OpenAIPublished: 2023

    0.083

    0.000Range of values carried here0.844
    Scale, basis and source

    Human-rater β, 0–1 as published

    Mapped onto O*NET tasks

    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
Answer students' questions.

O*NET Task ID 22389

1.0
Distribute or collect tests or homework assignments.

O*NET Task ID 22393

1.0
Follow lesson plans designed by absent teachers.

O*NET Task ID 22396

1.0
Operate equipment such as computers or audio-visual aids to supplement presentations.

O*NET Task ID 22398

1.0
Take class attendance and maintain attendance records.

O*NET Task ID 22403

1.0
Attend professional meetings, educational conferences, or teacher training workshops to improve professional competence.

O*NET Task ID 22391

0.5
Grade students' assignments and exams.

O*NET Task ID 22397

0.5
Teach a variety of subjects, such as English, mathematics, and social studies.

O*NET Task ID 22404

0.5
Assist students with boarding or exiting school buses.

O*NET Task ID 22390

0.0
Counsel students with adjustment or academic problems.

O*NET Task ID 22392

0.0
Distribute teaching materials, such as textbooks, workbooks, papers, and pencils, to students.

O*NET Task ID 22394

0.0
Enforce school and class rules to maintain order in the classroom.

O*NET Task ID 22395

0.0
Organize and supervise games or other recreational activities.

O*NET Task ID 22399

0.0
Provide disabled students with assistive devices, supportive technology, or assistance accessing facilities, such as restrooms.

O*NET Task ID 22400

0.0
Restock teaching materials or supplies.

O*NET Task ID 22401

0.0
Supervise students during activities outside the classroom, such as recess, lunch, and field trips.

O*NET Task ID 22402

0.0
Teach social skills to students, such as communication, conflict resolution, and etiquette.

O*NET Task ID 22405

0.0
Tutor or assist students individually or in small groups.

O*NET Task ID 22406

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