Postmasters and Mail Superintendents
ManagementAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-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
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.42
0.09Range of values carried here0.70Group-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.
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| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Resolve customer complaints.11-9131 | 0.0034100.0 | 0.0130100.0 |
| Not observed on any surface — 11 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Organize and supervise activities such as the processing of incoming and outgoing mail. | —0 | —0 |
Direct and coordinate operational, management, and supportive services of one or a number of postal facilities. | —0 | —0 |
Hire and train employees, and evaluate their performance. | —0 | —0 |
Prepare employee work schedules. | —0 | —0 |
Prepare and submit detailed and summary reports of post office activities to designated supervisors. | —0 | —0 |
Negotiate labor disputes. | —0 | —0 |
Collect rents for post office boxes. | —0 | —0 |
Issue and cash money orders. | —0 | —0 |
Inform the public of available services, and of postal laws and regulations. | —0 | —0 |
Select and train postmasters and managers of associate postal units. | —0 | —0 |
Confer with suppliers to obtain bids for proposed purchases and to requisition supplies, disbursing funds according to federal regulations. | —0 | —0 |
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.
| Task | βE1 + 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page