OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
21% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Record data about individual trees or load volumes into tally books or hand-held collection terminals
- Evaluate log characteristics and determine grades, using established criteria
- Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables
- Identify logs of substandard or special grade so that they can be returned to shippers, regraded, recut, or transferred for other processing
WHAT IT STILL CAN’T
- Jab logs with metal ends of scale sticks, and inspect logs to ascertain characteristics or defects such as water damage, splits, knots, broken ends, rotten areas, twists, and curves
- Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers
- Arrange for hauling of logs to appropriate mill sites
- Measure log lengths and mark boles for bucking into logs, according to specifications
- Drive to sawmills, wharfs, or skids to inspect logs or pulpwood
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 21% 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