Fashion 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

    0.057

    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
Direct and coordinate workers involved in drawing and cutting patterns and constructing samples or finished garments.

O*NET Task ID 13013

0.5
Examine sample garments on and off models, modifying designs to achieve desired effects.

O*NET Task ID 13014

0.5
Sketch rough and detailed drawings of apparel or accessories, and write specifications such as color schemes, construction, material types, and accessory requirements.

O*NET Task ID 13015

0.5
Identify target markets for designs, looking at factors such as age, gender, and socioeconomic status.

O*NET Task ID 13017

0.5
Attend fashion shows and review garment magazines and manuals to gather information about fashion trends and consumer preferences.

O*NET Task ID 13018

0.5
Select materials and production techniques to be used for products.

O*NET Task ID 13019

0.5
Adapt other designers' ideas for the mass market.

O*NET Task ID 13021

0.5
Visit textile showrooms to keep up-to-date on the latest fabrics.

O*NET Task ID 13023

0.5
Collaborate with other designers to coordinate special products and designs.

O*NET Task ID 13024

0.5
Design custom clothing and accessories for individuals, retailers, or theatrical, television, or film productions.

O*NET Task ID 13025

0.5
Confer with sales and management executives or with clients to discuss design ideas.

O*NET Task ID 13016

0.0
Provide sample garments to agents and sales representatives, and arrange for showings of sample garments at sales meetings or fashion shows.

O*NET Task ID 13020

0.0
Purchase new or used clothing and accessory items as needed to complete designs.

O*NET Task ID 13022

0.0
Sew together sections of material to form mockups or samples of garments or articles, using sewing equipment.

O*NET Task ID 13031

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