Sales Trainers

Sales & Marketing

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

    0.279

    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

    0.41

    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, 36% 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
Evaluate training materials prepared by instructors, such as outlines, text, or handouts.

O*NET Task ID 101

1.0
Obtain, organize, or develop training procedure manuals, guides, or course materials, such as handouts or visual materials.

O*NET Task ID 20475

1.0
Keep up with developments in area of expertise by reading current journals, books, or magazine articles.

O*NET Task ID 93

0.5
Present information with a variety of instructional techniques or formats, such as role playing, simulations, team exercises, group discussions, videos, or lectures.

O*NET Task ID 94

0.5
Schedule classes based on availability of classrooms, equipment, or instructors.

O*NET Task ID 95

0.5
Offer specific training programs to help workers maintain or improve job skills.

O*NET Task ID 97

0.5
Monitor, evaluate, or record training activities or program effectiveness.

O*NET Task ID 98

0.5
Attend meetings or seminars to obtain information for use in training programs or to inform management of training program status.

O*NET Task ID 99

0.5
Coordinate recruitment and placement of training program participants.

O*NET Task ID 100

0.5
Develop alternative training methods if expected improvements are not seen.

O*NET Task ID 102

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information