Postmasters and Mail Superintendents

Management

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

    0.000

    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

    0.42

    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, 33% 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
Prepare and submit detailed and summary reports of post office activities to designated supervisors.

O*NET Task ID 5265

1.0
Inform the public of available services, and of postal laws and regulations.

O*NET Task ID 5269

1.0
Organize and supervise activities, such as the processing of incoming and outgoing mail.

O*NET Task ID 5260

0.5
Direct and coordinate operational, management, and supportive services of one or a number of postal facilities.

O*NET Task ID 5261

0.5
Resolve customer complaints.

O*NET Task ID 5262

0.5
Hire and train employees, and evaluate their performance.

O*NET Task ID 5263

0.5
Prepare employee work schedules.

O*NET Task ID 5264

0.5
Negotiate labor disputes.

O*NET Task ID 5266

0.5
Select and train postmasters and managers of associate postal units.

O*NET Task ID 5270

0.5
Confer with suppliers to obtain bids for proposed purchases and to requisition supplies, disbursing funds according to federal regulations.

O*NET Task ID 5271

0.5
Collect rents for post office boxes.

O*NET Task ID 5267

0.0
Issue and cash money orders.

O*NET Task ID 5268

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