EXPOSURE TO AI
48%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
13%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
48% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Prepare reports or make presentations on internal investigations, losses, or violations of regulations, policies and procedures
- Write or review security-related documents, such as incident reports, proposals, and tactical or strategic initiatives
- Analyze and evaluate security operations to identify risks or opportunities for improvement through auditing, review, or assessment
- Assess risks to mitigate potential consequences of incidents and develop a plan to respond to incidents
- Attend meetings, professional seminars, or conferences to keep abreast of changes in executive legislative directives or new technologies impacting security operations
WHAT IT STILL CAN’T
- Respond to medical emergencies, bomb threats, fire alarms, or intrusion alarms, following emergency response procedures
- Monitor and ensure a sound, ethical environment
- Train subordinate security professionals or other organization members in security rules and procedures
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 48% 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