Art Therapists

Healthcare

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

    0.040

    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

    0.20

    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, 86% 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 11 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
Write treatment plans, case summaries, or progress or other reports related to individual clients or client groups.

O*NET Task ID 19154

1.0
Analyze data to determine the effectiveness of treatments or therapy approaches.

O*NET Task ID 19139

0.5
Analyze or synthesize client data to draw conclusions or make recommendations for art therapy.

O*NET Task ID 19140

0.5
Communicate client assessment findings and recommendations in oral, written, audio, video, or other forms.

O*NET Task ID 19142

0.5
Confer with other professionals on client's treatment team to develop, coordinate, or integrate treatment plans.

O*NET Task ID 19144

0.5
Customize art therapy programs for specific client populations, such as those in schools, nursing homes, wellness centers, prisons, shelters, or hospitals.

O*NET Task ID 19145

0.5
Design art therapy sessions or programs to meet client's goals or objectives.

O*NET Task ID 19146

0.5
Establish goals or objectives for art therapy sessions in consultation with clients or site administrators.

O*NET Task ID 19148

0.5
Interpret the artistic creations of clients to assess their functioning, needs, or progress.

O*NET Task ID 19150

0.5
Observe and document client reactions, progress, or other outcomes related to art therapy.

O*NET Task ID 19151

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