Will AI replace Postmasters and Mail Superintendents?
AI can do 62% of the work Postmasters and Mail Superintendents do at least twice as fast. People already use it for 1 of their 13 tasks, while 7 more are ready but barely used so far. Robots can technically handle 1 physical task. 4 still need a person.
AI is already doing this1 · 8% of time
People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.
- Resolve customer complaints.Mostly automated8% of time
AI could do this next7 · 54% of time
AI can speed these up by at least half, but real use has not caught up yet. These are next in line.
- Direct and coordinate operational, management, and supportive services of one or a number of postal facilities.21% of time
- Prepare and submit detailed and summary reports of post office activities to designated supervisors.9% of time
- Monitor employees' work schedules and attendance for payroll purposes.8% of time
- Prepare employee work schedules.7% of time
- Negotiate labor disputes.3% of time
- Inform the public of available services, and of postal laws and regulations.3% of time
- Confer with suppliers to obtain bids for proposed purchases and to requisition supplies, disbursing funds according to federal regulations.2% of time
Robots can technically do this1 · 3% of time
Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.
- Issue and cash money orders.Robots: structured workplaces3% of time
Still needs a person4 · 34% of time
No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.
- Organize and supervise activities, such as the processing of incoming and outgoing mail.23% of time
- Hire and train employees, and evaluate their performance.9% of time
- Collect rents for post office boxes.1% of time
- Select and train postmasters and managers of associate postal units.1% of time
Your week is not the average
Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.
What this means
AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 8 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.
What to do next
- Do the 1 task AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
- Get ahead on the 7 tasks AI could do next. These move as tools improve, so learning them early pays off.
- Keep an eye on the 1 physical task robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
- Build on the 4 tasks that stay human. This is where your judgment, skill and relationships matter most.
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