OBSERVED IN REAL USE · Anthropic 2026
34%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
63% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Analyze problems to develop solutions involving computer hardware and software
- Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses
- Design computers and the software that runs them
- Develop performance standards, and evaluate work in light of established standards
- Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers
WHAT IT STILL CAN’T
- Meet with managers, vendors, and others to solicit cooperation and resolve problems
- Participate in staffing decisions and direct training of subordinates
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 63% 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