OBSERVED IN REAL USE · Anthropic 2026
1%
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
- Write technical reports or publications related to water resources development or water use efficiency
- Provide technical direction or supervision to junior engineers, engineering or computer-aided design (CAD) technicians, or other technical personnel
- Review and critique proposals, plans, or designs related to water or wastewater treatment systems
- Design or select equipment for use in wastewater processing to ensure compliance with government standards
- Design pumping systems, pumping stations, pipelines, force mains, or sewers for the collection of wastewater
WHAT IT STILL CAN’T
- Oversee the construction of decentralized or on-site wastewater treatment systems, including reclaimed water facilities
- Design domestic or industrial water or wastewater treatment plants, including advanced facilities with sequencing batch reactors (SBR), membranes, lift stations, headworks, surge overflow basins, ultraviolet disinfection systems, aerobic digesters, sludge lagoons, or control buildings
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