Customer Success Managers

Sales & Marketing

AI exposure

  • Data source: BLSPublished: 2026-08

    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

    0.043

    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

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
Resolve customer complaints regarding sales and service.

O*NET Task ID 1

0.5
Monitor customer preferences to determine focus of sales efforts.

O*NET Task ID 2

0.5
Direct and coordinate activities involving sales of manufactured products, services, commodities, real estate, or other subjects of sale.

O*NET Task ID 3

0.5
Determine price schedules and discount rates.

O*NET Task ID 4

0.5
Review operational records and reports to project sales and determine profitability.

O*NET Task ID 5

0.5
Direct, coordinate, and review sales and service accounting and record-keeping, as well as receiving and shipping.

O*NET Task ID 6

0.5
Confer or consult with department heads to plan advertising services and to secure information on equipment and customer specifications.

O*NET Task ID 7

0.5
Advise dealers and distributors on policies and operating procedures to ensure functional effectiveness of business.

O*NET Task ID 8

0.5
Prepare budgets and approve budget expenditures.

O*NET Task ID 9

0.5
Plan and direct staffing, training, and performance evaluations to develop and control sales and service programs.

O*NET Task ID 11

0.5
Represent company at trade association meetings to promote products.

O*NET Task ID 10

0.0
Visit franchised dealers to stimulate interest in establishment or expansion of leasing programs.

O*NET Task ID 12

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