EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
39% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Learn to operate new office technologies as they are developed and implemented
- Manage paper or electronic filing systems by recording information, updating paperwork, or maintaining documents, such as attendance records or correspondence
- Prepare and review operational reports and schedules to ensure accuracy and efficiency
- Set goals and deadlines for the department
- Analyze internal processes and recommend and implement procedural or policy changes to improve operations, such as supply changes or the disposal of records
WHAT IT STILL CAN’T
- Acquire, distribute and store supplies
- Conduct classes to teach procedures to staff
- Meet with other departmental leaders to establish organizational goals, strategic plans, and objectives, as well as make decisions about personnel, resources, and space or equipment needs
- Represent work unit at meetings or conferences and serve as liaison for requests or complaints
- Supervise administrative staff and provide training and orientation to new staff
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 39% 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