Sales Representatives

Sales & Marketing

AI exposure

  • Data source: BLSPublished: '26.08

    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: ILOPublished: '25

    0.49

    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, 21% score at or above this value.

    Source dataset

  • Data source: OpenAIPublished: '23

    0.567

    0.000Range of values carried here0.844
    Scale, basis and source

    Human-rater β, 0–1 as published

    Mapped onto O*NET tasks

    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
Create forms or agreements to complete sales.

O*NET Task ID 23227

1.0
Develop sales presentations or proposals to explain service specifications.

O*NET Task ID 23228

1.0
Inform customers of contracts or other information pertaining to purchased services.

O*NET Task ID 23232

1.0
Maintain customer records using automated systems.

O*NET Task ID 23233

1.0
Quote prices, credit terms, contract terms, or fulfillment dates for services.

O*NET Task ID 23236

1.0
Answer customers' questions about services, prices, availability, or credit terms.

O*NET Task ID 23222

0.5
Attend sales or trade meetings or read related publications to obtain information about market conditions, business trends, regulations, or industry developments.

O*NET Task ID 23223

0.5
Compute and compare costs of services.

O*NET Task ID 23224

0.5
Consult with clients after sales or contract signings to resolve problems and provide ongoing support.

O*NET Task ID 23225

0.5
Contact prospective or existing customers to discuss how services can meet their needs.

O*NET Task ID 23226

0.5
Distribute promotional materials at meetings, conferences, or trade shows.

O*NET Task ID 23229

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

Recent Changes Affecting This Occupation

Mar 2026: ATE study identifies sales representatives among 236 information-intensive occupations at moderate-to-high risk of agentic AI displacement by 2030 in US tech hubs.

[Source: Gupta & Kumar (2026) Agentic AI and Occupational Displacement]