EXPOSURE TO AI
49%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
49% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Write descriptions of property boundary surveys for use in deeds, leases, or other legal documents
- Train assistants and helpers, and direct their work in such activities as performing surveys or drafting maps
- Develop criteria for the design and modification of survey instruments
- Verify the accuracy of survey data, including measurements and calculations conducted at survey sites
- Prepare, or supervise preparation of, all data, charts, plots, maps, records, and documents related to surveys
WHAT IT STILL CAN’T
- Adjust surveying instruments to maintain their accuracy
- Establish fixed points for use in making maps, using geodetic and engineering instruments
- Determine longitudes and latitudes of important features and boundaries in survey areas, using theodolites, transits, levels, and satellite-based global positioning systems (GPS)
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 49% 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