EXPOSURE TO AI
38%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
6%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
38% 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
- Maintain documentation or reports on security-related incidents or investigations
- Prepare written reports on investigations
- Implement or monitor processes to reduce property or financial losses
- Identify and report merchandise or stock shortages
- Conduct store audits to identify problem areas or procedural deficiencies
WHAT IT STILL CAN’T
- Apprehend shoplifters in accordance with guidelines
- Verify proper functioning of physical security systems, such as closed-circuit televisions, alarms, sensor tag systems, or locks
- Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses
- Testify in civil or criminal court proceedings
- Train establishment personnel in loss prevention activities
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 38% 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