OBSERVED IN REAL USE · Anthropic 2026
10%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
67% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Integrate tags, readers, or software in radio frequency identification device (RFID) designs
- Perform systems analysis or programming of radio frequency identification device (RFID) technology
- Test radio frequency identification device (RFID) software to ensure proper functioning
- Determine means of integrating radio frequency identification device (RFID) into other applications
- Provide technical support for radio frequency identification device (RFID) technology
WHAT IT STILL CAN’T
- Install, test, or maintain radio frequency identification device (RFID) systems
- Train users in details of system operation
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 67% 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