EXPOSURE TO AI
8%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.
8% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Record numbers of containers stored at disposal sites, specifying amounts or types of equipment or waste disposed
- Identify asbestos, lead, or other hazardous materials to be removed, using monitoring devices
- Organize or track the locations of hazardous items in landfills
WHAT IT STILL CAN’T
- Build containment areas prior to beginning abatement or decontamination work
- Remove asbestos or lead from surfaces, using hand or power tools such as scrapers, vacuums, or high-pressure sprayers
- Prepare hazardous material for removal or storage
- Comply with prescribed safety procedures or federal laws regulating waste disposal methods
- Load or unload materials into containers or onto trucks, using hoists or forklifts
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 8% 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