OBSERVED IN REAL USE · Anthropic 2026
20%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
66% 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
- Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes
- Develop conceptual, logical, or physical network designs
- Develop and implement solutions for network problems
- Determine specific network hardware or software requirements, such as platforms, interfaces, bandwidths, or routine schemas
- Participate in network technology upgrade or expansion projects, including installation of hardware and software and integration testing
WHAT IT STILL CAN’T
- Coordinate installation of new equipment
- Maintain or coordinate the maintenance of network peripherals, such as printers
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 66% 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