How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Integrate engineering elements into unified architectural designs.74
- Direct activities of technicians engaged in preparing drawings or specification documents.74
- Plan or design structures such as residences, office buildings, theatres, factories, or other structural properties in accordance with environmental, safety, or other regulations.74
- Gather information related to projects' environmental sustainability or operational efficiency.74
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Monitor the work of specialists, such as electrical engineers, mechanical engineers, interior designers, or sound specialists to ensure optimal form or function of designs or final structures.01
- Conduct periodic on-site observations of construction work to monitor compliance with plans.02
- Prepare scale drawings or architectural designs, using computer-aided design or other tools.03
- Prepare information regarding design, structure specifications, materials, color, equipment, estimated costs, or construction time.04
- Develop final construction plans that include aesthetic representations of the structure or details for its construction.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Landscape Architects
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Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
