EXPOSURE TO AI
14%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
14% 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
- Document geological formations encountered during work
- Record drilling progress and geological data
- Create and lay out designs for drill and blast patterns
- Review client requirements and proposed locations for drilling operations to determine feasibility, and to determine cost estimates
- Design well pumping systems
WHAT IT STILL CAN’T
- Operate controls to stabilize machines and to position and align drills
- Start, stop, and control drilling speed of machines and insertion of casings into holes
- Regulate air pressure, rotary speed, and downward pressure, according to the type of rock or concrete being drilled
- Select and attach drill bits and drill rods, adding more rods as hole depths increase, and changing drill bits as needed
- Drive or guide truck-mounted equipment into position, level and stabilize rigs, and extend telescoping derricks
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 14% 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