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).
Certified irreplaceable. For now, gloriously human.
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
- Calculate equipment operating factors, such as radiation times, dosages, temperatures, gamma intensities, or pressures, using standard formulas and conversion tables
- Prepare reports to communicate information such as contamination test results, decontamination results, or decontamination procedures
- Monitor nuclear reactor equipment performance to identify operational inefficiencies, hazards, or needs for maintenance or repair
- Monitor instruments, gauges, or recording devices under direction of nuclear experimenters
- Determine or recommend radioactive decontamination procedures, according to the size and nature of equipment and the degree of contamination
WHAT IT STILL CAN’T
- Conduct surveillance testing to determine safety of nuclear equipment
- Test plant equipment to ensure it is operating properly
- Apply safety tags to equipment needing maintenance
- Modify, devise, or maintain nuclear equipment used in operations
- Follow nuclear equipment operational policies and procedures that ensure environmental safety
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