Will AI replace Architects, Except Landscape and Naval?
Estimated risk score: 58 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 (39 to 77).
For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-1011.00 · 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: 5 of its 24 rated tasks. In O*NET’s words.
- Prepare operating and maintenance manuals, studies, or reports.
- Create three-dimensional or interactive representations of designs, using computer-assisted design software.
- Prepare scale drawings or architectural designs, using computer-aided design or other tools.
- Calculate potential energy savings by comparing estimated energy consumption of proposed design to baseline standards.
- Direct activities of technicians engaged in preparing drawings or specification documents.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 2 of its 24 rated tasks. In O*NET’s words.
- Consult with clients to determine functional or spatial requirements of structures.
- Meet with clients to review or discuss architectural drawings.
What the job is
Plan and design structures, such as private residences, office buildings, theaters, factories, and other structural property.
Also called: Architect, Design Architect, Project Architect, Location Man, Space Planner, Location Worker, Location Analyst, Facility 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