OBSERVED IN REAL USE · Anthropic 2026
8%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
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
- Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements
- Write technical reports or other documentation, such as handbooks or bulletins, for use by engineering staff, management, or customers
- Maintain records of performance reports for future reference
- Formulate conceptual design of aeronautical or aerospace products or systems to meet customer requirements or conform to environmental regulations
- Plan or coordinate investigation and resolution of customers' reports of technical problems with aircraft or aerospace vehicles
WHAT IT STILL CAN’T
- Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or 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 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