OBSERVED IN REAL USE · Anthropic 2026
7%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
50% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Prepare written and oral reports describing research results, using illustrations, maps, appendices, and other information
- Develop computer models for hydrologic predictions
- Develop or modify methods for conducting hydrologic studies
- Design and conduct scientific hydrogeological investigations to ensure that accurate and appropriate information is available for use in water resource management decisions
- Measure and graph phenomena such as lake levels, stream flows, and changes in water volumes
WHAT IT STILL CAN’T
- Install, maintain, and calibrate instruments such as those that monitor water levels, rainfall, and sediments
- Monitor the work of well contractors, exploratory borers, and engineers and enforce rules regarding their activities
- Administer programs designed to ensure the proper sealing of abandoned wells
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 50% 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