EXPOSURE TO AI
35%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
11%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
35% 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
- Maintain required records, such as personnel information or project records
- Prepare or maintain required records, such as work activity or personnel reports
- Perform administrative duties, such as authorizing leaves or processing time sheets
- Review contracts or work assignments to determine service, machine, or workforce requirements for jobs
- Schedule work for crews, depending on work priorities, crew or equipment availability, or weather conditions
WHAT IT STILL CAN’T
- Establish and enforce operating procedures and work standards that will ensure adequate performance and personnel safety
- Tour grounds, such as parks, botanical gardens, cemeteries, or golf courses, to inspect conditions of plants and soil
- Direct activities of workers who perform duties, such as landscaping, cultivating lawns, or pruning trees and shrubs
- Inspect completed work to ensure conformance to specifications, standards, and contract requirements
- Plant or maintain vegetation through activities such as mulching, fertilizing, watering, mowing, or pruning
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 35% 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