Model Makers

Arts, Design, Entertainment & Media

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· 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

    0.20

    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

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.

TaskβE1 + 0.5 × E2
Program computer numerical control (CNC) machines to fabricate model parts.

O*NET Task ID 20924

1.0
Use computer-aided design (CAD) and computer-aided manufacturing (CAM) software or hardware to fabricate model parts.

O*NET Task ID 20925

1.0
Study blueprints, drawings, and sketches to determine material dimensions, required equipment, and operations sequences.

O*NET Task ID 12022

0.5
Set up and operate machines, such as lathes, drill presses, punch presses, or bandsaws, to fabricate prototypes or models.

O*NET Task ID 12023

0.0
Inspect and test products to verify conformance to specifications, using precision measuring instruments or circuit testers.

O*NET Task ID 12024

0.0
Cut, shape, and form metal parts, using lathes, power saws, snips, power brakes and shears, files, and mallets.

O*NET Task ID 12025

0.0
Lay out and mark reference points and dimensions on materials, using measuring instruments and drawing or scribing tools.

O*NET Task ID 12026

0.0
Drill, countersink, and ream holes in parts and assemblies for bolts, screws, and other fasteners, using power tools.

O*NET Task ID 12027

0.0
Grind, file, and sand parts to finished dimensions.

O*NET Task ID 12028

0.0
Record specifications, production operations, and final dimensions of models for use in establishing operating standards and procedures.

O*NET Task ID 12029

0.0
Rework or alter component model or parts as required to ensure that products meet standards.

O*NET Task ID 12030

0.0
Align, fit, and join parts, using bolts and screws or by welding or gluing.

O*NET Task ID 12031

0.0
Consult and confer with engineering personnel to discuss developmental problems and to recommend product modifications.

O*NET Task ID 12032

0.0
Assemble mechanical, electrical, and electronic components into models or prototypes, using hand tools, power tools, and fabricating machines.

O*NET Task ID 12033

0.0
Devise and construct tools, dies, molds, jigs, and fixtures, or modify existing tools and equipment.

O*NET Task ID 12034

0.0
Wire and solder electrical and electronic connections and components.

O*NET Task ID 12035

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