EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
42% 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
- Prepare graphic representations or drawings of proposed plans or designs
- Integrate existing land features or landscaping into designs
- Analyze data on conditions such as site location, drainage, or structure location for environmental reports or landscaping plans
- Manage the work of subcontractors to ensure quality control
- Prepare site plans, specifications, or cost estimates for land development
WHAT IT STILL CAN’T
- Confer with clients, engineering personnel, or architects on landscape projects
- Inspect landscape work to ensure compliance with specifications, evaluate quality of materials or work, or advise clients or construction personnel
- Present project plans or designs to public stakeholders, such as government agencies or community groups
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 42% 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