Engineering occupation
Will AI replace Architects, Except Landscape And Naval?
See how this occupation’s day-to-day work compares with other jobs in exposure to AI and automation, why it received this result, and where human skills remain essential.
Architects, Except Landscape And Naval
Architects, Except Landscape and Naval · Engineering
Higher AI & automation exposure than 66% of jobs we compare.
Exposure index: 66 / 100
This compares the type of work in this job with the work in hundreds of other jobs.
This is a comparison between jobs — not a 66% chance of job loss.
Why did this job get this result?
- Computer-aided architectural design, 3D building modeling, and construction document drafting take place on computers.
- Municipal zoning bylaws, life-safety building codes, and structural egress rules follow strict regulatory frameworks.
- Work combines creative architectural design studios with messy, dynamic physical construction job sites.
- Architects must balance structural engineering realities, environmental sustainability, and functional space planning with artistic beauty.
- Presenting vision proposals to property owners, negotiating with zoning boards, and overseeing contractors require strong leadership.
How technology may change this work
Technology and human strengths
What AI & automation may affect
- Architectural modeling software can assist in evaluating building envelope energy performance, daylight analysis, and standard construction detailing.
- Generative AI rendering tools can quickly produce photorealistic architectural concepts and stylistic variations for client review.
Human strengths in this job
- Creating inspiring, human-centered physical spaces that elevate mood, foster community, and harmoniously fit their cultural setting
- Guiding clients through complex aesthetic, financial, and functional trade-offs to define the true vision for a building
- Navigating contentious zoning board hearings, historic preservation reviews, and neighborhood opposition with diplomacy
- Resolving unforeseen structural and construction clashes on active building job sites during construction administration
How this result breaks down
These are model components, not percentages of the job or of how necessary people are.
How much the job involves information, data, writing, analysis or other digital work that AI and software may help with.
How much of the work follows regular, predictable or repeated steps.
How much of the physical work may be suitable for machines or robotics.
How much the job depends on judgment, creativity, communication and adapting to real situations.
How is the index calculated?
The Exposure Index is a percentile comparing this job's digital, routine, and physical tasks against all 897 occupations in the Model 2.1 dataset. A score of 66 means higher modeled exposure than approximately 66% of comparable jobs.
Your work may differ
How does your work compare?
Two people with the same job title can do very different work. Answer seven quick questions to see how your specific day-to-day tasks compare.
What people in this job commonly do
- Prepare scale drawings or architectural designs, using computer-aided design or other tools.
- Plan or design structures such as residences, office buildings, theatres, factories, or other structural properties in accordance with environmental, safety, or other regulations.
- Meet with clients to review or discuss architectural drawings.
- Prepare contract documents for building contractors.
- Develop final construction plans that include aesthetic representations of the structure or details for its construction.
- Conduct periodic on-site observations of construction work to monitor compliance with plans.
How we compare jobs
We look at what people do in hundreds of occupations — including digital work, repeatable activities, physical automation and human skills — then compare the job with other occupations.
What this tool cannot predict
It cannot predict individual job loss, exact technology adoption timing or decisions by an individual employer.
Occupation and data details
O*NET-SOC: 17-1011.00
Career category: Engineering
Typical education: Master's degree
Data source: O*NET, U.S. Department of Labor.
This product includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Toolsyte has modified and scored some information; USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.