AI Stole My Job

Will AI replace Postmasters and Mail Superintendents?

Estimated risk score: 64 out of 100

Moderate replacement risk

Estimate from published task research, not reviewed by a person · how we estimate

Within about 19 points for 4 in 5 of the jobs we checked (45 to 83).

For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 11-9131.00 · Management

Tasks rated in 2023 as ones AI could do or speed up

Tasks a GPT-4-class model could do, or do in half the time or less: 6 of its 13 rated tasks. In O*NET’s words.

  1. Collect rents for post office boxes.
  2. Prepare and submit detailed and summary reports of post office activities to designated supervisors.
  3. Inform the public of available services, and of postal laws and regulations.
  4. Monitor employees' work schedules and attendance for payroll purposes.
  5. Prepare employee work schedules.
  6. Issue and cash money orders.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 0 of its 13 rated tasks. In O*NET’s words.

None of its rated tasks.

What the job is

Plan, direct, or coordinate operational, administrative, management, and support services of a U.S. post office; or coordinate activities of workers engaged in postal and related work in assigned post office.

Also called: Postmaster, Remote Encoding Center Manager, Distribution Operations Manager, Distribution Operation Supervisor (SDO), PMR, SDO, Mail Superintendent, Postal Superintendent.

Closest jobs we score by hand

In the same field (Management). Different jobs, each scored by a person.

Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate