OBSERVED IN REAL USE · Anthropic 2026
9%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
57% 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
- Confer with engineering staff and other personnel to resolve problems
- Study work order requests to determine type of service, such as lighting or power, demanded by installation
- Determine the order of work and the method of presentation, such as orthographic or isometric drawing
- Key and program specified commands and engineering specifications into computer system to change functions and test final layout
- Write technical reports and draw charts that display statistics and data
WHAT IT STILL CAN’T
- Select drill size to drill test head, according to test design and specifications, and submit guide layout to designated department
- Supervise or train other technologists, technicians, or drafters
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 57% 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