OBSERVED IN REAL USE · Anthropic 2026
29%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
63% 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
- Configure security settings or access permissions for groups or individuals
- Document network support activities
- Configure wide area network (WAN) or local area network (LAN) routers or related equipment
- Install network software, including security or firewall software
- Evaluate local area network (LAN) or wide area network (WAN) performance data to ensure sufficient availability or speed, to identify network problems, or for disaster recovery purposes
WHAT IT STILL CAN’T
- Perform routine maintenance or standard repairs to networking components or equipment
- Install or repair network cables, including fiber optic cables
- Install and configure wireless networking equipment
- Back up network data
- Test repaired items to ensure proper operation
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 63% 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