Will AI replace Landscape Architects?
Estimated risk score: 50 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (31 to 69).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-1012.00 · Architecture and Engineering
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 19 rated tasks. In O*NET’s words.
- Prepare conceptual drawings, graphics, or other visual representations of land areas to show predicted growth or development of land areas over time.
- Prepare graphic representations or drawings of proposed plans or designs.
- Research latest products, technology, or design trends to stay current in the field.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 19 rated tasks. In O*NET’s words.
- 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.
What the job is
Plan and design land areas for projects such as parks and other recreational facilities, airports, highways, hospitals, schools, land subdivisions, and commercial, industrial, and residential sites.
Also called: Park Planner, Landscape Planner, Golf Course Architect, PLA, AP BD+C, Land Planner, Site Planner, Exterior Designer.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate