Web and Digital Interface Designers

Computer & Mathematical

AI exposure

  • Data source: BLSPublished: 2026-08

    Very 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

    0.249

    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

    0.60

    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, 4% 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

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
Collaborate with web development professionals, such as front-end or back-end developers, to complete the full scope of Web development projects.

O*NET Task ID 21686

1.0
Communicate with network personnel or Web site hosting agencies to address hardware or software issues affecting Web sites.

O*NET Task ID 21687

1.0
Create searchable indices for Web page content.

O*NET Task ID 21690

1.0
Create Web models or prototypes that include physical, interface, logical, or data models.

O*NET Task ID 21691

1.0
Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.

O*NET Task ID 21692

1.0
Develop and document style guidelines for Web site content.

O*NET Task ID 21693

1.0
Develop or implement procedures for ongoing Web site revision.

O*NET Task ID 21695

1.0
Develop system interaction or sequence diagrams.

O*NET Task ID 21696

1.0
Develop, validate, and document test routines and schedules to ensure that test cases mimic external interfaces and address all browser and device types.

O*NET Task ID 21698

1.0
Document technical factors such as server load, bandwidth, database performance, and browser and device types.

O*NET Task ID 21700

1.0

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