Craft Artists
Arts, Design, Entertainment & MediaAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-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
- Data source: AnthropicPublished: 2026-03
0.054
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.21
0.09Range of values carried here0.70Group-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, 82% score at or above this value.
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| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Confer with customers to assess customer needs or obtain feedback.27-1012 | 0.070053.8 | 0.060066.7 |
Develop concepts or creative ideas for craft objects.27-1012 | 0.050038.5 | 0.010011.1 |
Develop product packaging, display, and pricing strategies.27-1012 | 0.01007.7 | 0.00000.0 |
Set specifications for materials, dimensions, and finishes.27-1012 | 0.00000.0 | 0.010011.1 |
Advertise products and work, using media such as internet advertising and brochures.27-1012 | 0.00000.0 | 0.010011.1 |
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.
| Task | βE1 + 0.5 × E2 |
|---|---|
Develop concepts or creative ideas for craft objects.O*NET Task ID 9252 | 0.5 |
Set specifications for materials, dimensions, and finishes.O*NET Task ID 9253 | 0.5 |
Create prototypes or models of objects to be crafted.O*NET Task ID 9256 | 0.5 |
Sketch or draw objects to be crafted.O*NET Task ID 9257 | 0.5 |
Advertise products and work, using media such as internet advertising and brochures.O*NET Task ID 9258 | 0.5 |
Develop product packaging, display, and pricing strategies.O*NET Task ID 9259 | 0.5 |
Research craft trends, venues, and customer buying patterns to inspire designs and marketing strategies.O*NET Task ID 9260 | 0.5 |
Develop designs using specialized computer software.O*NET Task ID 9261 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page