EXPOSURE TO AI
44%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
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.
44% 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
- Report all violations and suspicious behaviors to supervisors, verbally or in writing
- Develop and maintain log of surveillance observations
- Observe casino or casino hotel operations for irregular activities, such as cheating or theft by employees or patrons, using audio and video equipment and one-way mirrors
- Inspect and monitor audio or video surveillance equipment to ensure it is working appropriately
- Review video surveillance footage
WHAT IT STILL CAN’T
- Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures
- Act as oversight or security agents for management or customers
- Supervise or train surveillance observers
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 44% 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