OBSERVED IN REAL USE · Anthropic 2026
31%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
80% 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
- Conduct network and security system audits, using established criteria
- Configure information systems to incorporate principles of least functionality and least access
- Design security solutions to address known device vulnerabilities
- Develop and execute tests that simulate the techniques of known cyber threat actors
- Develop infiltration tests that exploit device vulnerabilities
WHAT IT STILL CAN’T
- Assess the physical security of servers, systems, or network devices to identify vulnerability to temperature, vandalism, or natural disasters
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 80% 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