EXPOSURE TO AI
7%
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.
7% 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
- Operate underwater video, sonar, recording, or related equipment to investigate underwater structures or marine life
- Take test samples or photographs to assess the condition of vessels or structures
- Inspect and test docks, ships, buoyage systems, plant intakes or outflows, or underwater pipelines, cables, or sewers, using closed circuit television, still photography, and testing equipment
WHAT IT STILL CAN’T
- Take appropriate safety precautions, such as monitoring dive lengths and depths and registering with authorities before diving expeditions begin
- Check and maintain diving equipment, such as helmets, masks, air tanks, harnesses, or gauges
- Descend into water with the aid of diver helpers, using scuba gear or diving suits
- Supervise or train other divers, including hobby divers
- Inspect the condition of underwater steel or wood structures
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 7% 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