OBSERVED IN REAL USE · Anthropic 2026
29%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
You might want to sit down for this one.
87% 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
- Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system
- Analyze user needs and software requirements to determine feasibility of design within time and cost constraints
- Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces
- Coordinate installation of software system
- Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design
WHAT IT STILL CAN’T
- Train users to use new or modified equipment
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 87% 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