EXPOSURE TO AI
40%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
24%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
40% 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
- Design, evaluate, recommend, and approve changes of forms and reports
- Gather and organize information on problems or procedures
- Analyze data gathered and develop solutions or alternative methods of proceeding
- Document findings of study and prepare recommendations for implementation of new systems, procedures, or organizational changes
- Plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis
WHAT IT STILL CAN’T
- Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures
- Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used
- Prepare manuals and train workers in use of new forms, reports, procedures or equipment, according to organizational policy
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 40% 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