OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
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
- Calculate latitudes, longitudes, angles, areas, or other information for mapmaking, using survey field notes or reference tables
- Complete detailed source and method notes describing the location of routine or complex land parcels
- Perform calculations to determine earth curvature corrections, atmospheric impacts on measurements, traverse closures or adjustments, azimuths, level runs, or placement of markers
- Check all layers of maps to ensure accuracy, identifying and marking errors and making corrections
- Design or develop information databases that include geographic or topographic data
WHAT IT STILL CAN’T
- Position and hold the vertical rods, or targets, that theodolite operators use for sighting to measure angles, distances, and elevations
- Adjust and operate surveying instruments such as prisms, theodolites, electronic distance measuring equipment, or electronic data collectors
- Set out and recover stakes, marks, or other monumentation
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