π‘ Landscape Architects have a composite risk score of 34/100 (Frey-Osborne probability: 5%, GenAI exposure: 84/100). With 19,580 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 19,580 workers and a median wage of $80K,landscape architects represent a significant portion of the US workforce. Their GenAI exposure index is 84%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
34/100
Employment
19,580
Median Wage
$80K
GenAI Exposure
84%
β οΈ Top Risk Factors
AI coding assistants reducing developer demand
Automated data interpretation and insight generation
Generative AI producing marketing and creative copy
π‘οΈ Tasks AI Can't Easily Replace
Safety-critical judgment in design review
Cross-disciplinary collaboration on complex projects
Client communication and technical consultation
On-site problem-solving in variable physical conditions
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
73% skills overlap Β· $106K median wage
Social Scientists and Related Workers
51% skills overlap Β· $93K median wage
Architects, Except Landscape and Naval
70% skills overlap Β· $97K median wage
β Frequently Asked Questions
Will AI completely replace landscape architects?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for landscape architects?
Landscape Architects have a composite AI automation risk score of 34 out of 100, classified as "Moderate".
How many landscape architects are there in the US?
There are approximately 19,580 landscape architects employed in the United States.
What do landscape architects earn?
The median annual wage for landscape architects is $80K.
What skills should landscape architects develop?
Focus on tasks AI can't easily replicate: safety-critical judgment in design review, cross-disciplinary collaboration on complex projects, client communication and technical consultation, on-site problem-solving in variable physical conditions. These human-centric skills will become more valuable as routine tasks are automated.