OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
26% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Decide whether baggage that triggers alarms should be searched or should be allowed to pass through
- Inform other screeners when baggage should not be opened because it might contain explosives
- Patrol work areas to detect any suspicious items
- Record information about any baggage that sets off alarms in monitoring equipment
- Watch for potentially dangerous persons whose pictures are posted at checkpoints
WHAT IT STILL CAN’T
- Search carry-on or checked baggage by hand when it is suspected to contain prohibited items such as weapons
- Perform pat-down or hand-held wand searches of passengers who have triggered machine alarms, who are unable to pass through metal detectors, or who have been randomly identified for such searches
- Send checked baggage through automated screening machines, and set bags aside for searching or rescreening as indicated by equipment
- Follow those who breach security until police or other security personnel arrive to apprehend them
- Close entry areas following security breaches or reopen areas after receiving notification that the airport is secure
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 26% 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