OBSERVED IN REAL USE · Anthropic 2026
28%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The model already does most of this before its first coffee.
75% 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
- Troubleshoot program and system malfunctions to restore normal functioning
- Expand or modify system to serve new purposes or improve work flow
- Use the computer in the analysis and solution of business problems, such as development of integrated production and inventory control and cost analysis systems
- Develop, document, and revise system design procedures, test procedures, and quality standards
- Assess the usefulness of pre-developed application packages and adapt them to a user environment
WHAT IT STILL CAN’T
- Consult with management to ensure agreement on system principles
- Interview or survey workers, observe job performance, or perform the job to determine what information is processed and how it is processed
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 75% 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