OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
53% 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
- Verify the mathematical correctness of newly collected survey data
- Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in technology, equipment, or systems
- Prepare progress or technical reports
- Analyze control or survey data to ensure adherence to project specifications or land survey standards
- Conduct surveys to determine exact positions, measurement of points, elevations, lines, areas, volumes, contours, or other features of land surfaces
WHAT IT STILL CAN’T
- Calculate the exact horizontal and vertical position of points on the Earth's surface
- Compute horizontal and vertical coordinates of control networks, using direct leveling or other geodetic survey techniques, such as triangulation, trilateration, and traversing, to establish features of the Earth's surface
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 53% 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