Industrial Designers

Arts, Design, Entertainment & Media

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

    0.044

    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

    0.35

    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, 61% 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
Prepare sketches of ideas, detailed drawings, illustrations, artwork, or blueprints, using drafting instruments, paints and brushes, or computer-aided design equipment.

O*NET Task ID 6896

0.5
Direct and coordinate the fabrication of models or samples and the drafting of working drawings and specification sheets from sketches.

O*NET Task ID 6897

0.5
Modify and refine designs, using working models, to conform with customer specifications, production limitations, or changes in design trends.

O*NET Task ID 6898

0.5
Coordinate the look and function of product lines.

O*NET Task ID 6899

0.5
Confer with engineering, marketing, production, or sales departments, or with customers, to establish and evaluate design concepts for manufactured products.

O*NET Task ID 6900

0.5
Present designs and reports to customers or design committees for approval and discuss need for modification.

O*NET Task ID 6901

0.5
Evaluate feasibility of design ideas, based on factors such as appearance, safety, function, serviceability, budget, production costs/methods, and market characteristics.

O*NET Task ID 6902

0.5
Read publications, attend showings, and study competing products and design styles and motifs to obtain perspective and generate design concepts.

O*NET Task ID 6903

0.5
Research production specifications, costs, production materials, and manufacturing methods and provide cost estimates and itemized production requirements.

O*NET Task ID 6904

0.5
Design graphic material for use as ornamentation, illustration, or advertising on manufactured materials and packaging or containers.

O*NET Task ID 6905

0.5
Fabricate models or samples in paper, wood, glass, fabric, plastic, metal, or other materials, using hand or power tools.

O*NET Task ID 6908

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