OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
22% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Answer inquiries regarding shipping or mailing policies
- Read production orders to determine types and sizes of items scheduled for printing and mailing
- Operate computer-controlled keyboards or voice recognition equipment to direct items according to established routing schemes
- Stamp dates and times of receipt of incoming mail
- Verify that items are addressed correctly, marked with the proper postage, and in suitable condition for processing
WHAT IT STILL CAN’T
- Wrap packages or bundles by hand, or by using tying machines
- Remove containers of sorted mail or parcels and transfer them to designated areas according to established procedures
- Sort and route incoming mail, and collect outgoing mail, using carts as necessary
- Affix postage to packages or letters by hand, or stamp materials, using postage meters
- Accept and check containers of mail or parcels from large volume mailers, couriers, and contractors
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 22% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16