OBSERVED IN REAL USE · Anthropic 2026
6%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
56% 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
- Operate computer-assisted engineering or design software or equipment to perform engineering tasks
- Compile data and write reports regarding existing or potential electrical engineering studies or projects
- Perform detailed calculations to compute and establish manufacturing, construction, or installation standards or specifications
- Prepare specifications for purchases of materials or equipment
- Plan or implement research methodology or procedures to apply principles of electrical theory to engineering projects
WHAT IT STILL CAN’T
- Supervise or train project team members, as necessary
- Confer with engineers, customers, or others to discuss existing or potential engineering projects or products
- Inspect completed installations and observe operations to ensure conformance to design and equipment specifications and compliance with operational, safety, or environmental standards
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 56% 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