EXPOSURE TO AI
37%
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.
37% 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
- Monitor contract compliance and results of forestry activities to assure adherence to government regulations
- Establish short- and long-term plans for management of forest lands and forest resources
- Determine methods of cutting and removing timber with minimum waste and environmental damage
- Perform inspections of forests or forest nurseries
- Plan and direct forest surveys and related studies and prepare reports and recommendations
WHAT IT STILL CAN’T
- Supervise activities of other forestry workers
- Direct, and participate in, forest fire suppression
- Choose and prepare sites for new trees, using controlled burning, bulldozers, or herbicides to clear weeds, brush, and logging debris
- Procure timber from private landowners
- Subcontract with loggers or pulpwood cutters for tree removal and to aid in road layout
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 37% 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