OBSERVED IN REAL USE · Anthropic 2026
18%
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.
52% 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
- Interview witnesses or suspects to identify persons responsible for security breaches or to establish losses, pursue prosecutions, or obtain restitution
- Prepare documentation for case reports or court proceedings
- Prepare, maintain, or update security procedures, security system drawings, or related documentation
- Engineer, install, maintain, or repair security systems, programmable logic controls, or other security-related electronic systems
- Assess the nature and level of physical security threats so that the scope of the problem can be determined
WHAT IT STILL CAN’T
- Inspect fire, intruder detection, or other security systems
- Respond to emergency situations on an on-call basis
- Train personnel in security procedures or use of security 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 52% 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