Retail Buyers

Sales & Marketing

United States · BLS Employment Projections 2025–35: this SOC code is not among the published items.

AI exposure

  • Data source: ILOPublished: 2025

    0.39

    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, 44% score at or above this value.

    Source dataset

  • Data source: OpenAIPublished: 2023

    0.400

    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

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
Provide clerks with information to print on price tags, such as price, mark-ups or mark-downs, manufacturer number, season code, or style number.

O*NET Task ID 77

1.0
Monitor and analyze sales records, trends, or economic conditions to anticipate consumer buying patterns, company sales, and needed inventory.

O*NET Task ID 66

0.5
Authorize payment of invoices or return of merchandise.

O*NET Task ID 68

0.5
Consult with store or merchandise managers about budgets or goods to be purchased.

O*NET Task ID 72

0.5
Determine which products should be featured in advertising, the advertising medium to be used, or when the ads should be run.

O*NET Task ID 78

0.5
Monitor competitors' sales activities by following their advertisements in newspapers or other media.

O*NET Task ID 79

0.5
Analyze environmental aspects of competing merchandise when making buying decisions.

O*NET Task ID 19547

0.5
Compare transportation options to determine the most energy-efficient options.

O*NET Task ID 19548

0.5
Develop strategies to advertise green products or merchandise to consumers.

O*NET Task ID 19549

0.5
Identify opportunities to buy green commodities, such as alternative energy, water, or carbon-neutral products for resale to consumers.

O*NET Task ID 19550

0.5
Train or supervise sales or clerical staff.

O*NET Task ID 76

0.0
Conduct sales meetings to introduce new merchandise.

O*NET Task ID 20717

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