OBSERVED IN REAL USE · Anthropic 2026
52%
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.
88% 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
- Identify, analyze, and document problems with program function, output, online screen, or content
- Document software defects, using a bug tracking system, and report defects to software developers
- Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability
- Design test plans, scenarios, scripts, or procedures
- Document test procedures to ensure replicability and compliance with standards
WHAT IT STILL CAN’T
- Visit beta testing sites to evaluate software performance
- Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation
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 88% 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