EXPOSURE TO AI
49%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
16%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
49% 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
- Write articles, white papers, or reports to share research findings and educate others
- Write reports on research findings and implications to contribute to general knowledge or to suggest potential changes in organizational functioning
- Formulate and implement training programs, applying principles of learning and individual differences
- Conduct research studies of physical work environments, organizational structures, communication systems, group interactions, morale, or motivation to assess organizational functioning
- Conduct presentations on research findings for clients or at research meetings
WHAT IT STILL CAN’T
- Observe and interview workers to obtain information about the physical, mental, and educational requirements of jobs, as well as information about aspects such as job satisfaction
- Coach senior executives and managers on leadership and performance
- Counsel workers about job and career-related issues
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 49% 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