Landscape Architects vs Civil Engineers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Landscape Architects and Civil Engineers on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Landscape Architects | Civil Engineers |
|---|---|---|
| Median pay | $79,660 | $99,590 |
| Employment | 19,580 | 355,410 |
| Employment outlook (2024–34) · BLS projection | About average (+3.5%) | About average (+5.0%) |
| Annual openings · BLS projection | 1,700 | 23,600 |
| Typical education · O*NET | Most of these occupations require a four-year bachelor's degree, but some do not. | Most of these occupations require a four-year bachelor's degree, but some do not. |
| AI exposure · published exposure studies | High · 73rd pct | High · 69th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 70th pct · 37% of tasks | 57th pct · 30% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (52.1%) | Augmentation-leaning (35.8%) |
| Mostly remote-capable · Dingel–Neiman | Yes | Yes |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Design, Oral Comprehension, Oral Expression, Reading Comprehension, Active Listening, Speaking, Written Comprehension, Visualization, Building and Construction, Written Expression, Fluency of Ideas, Deductive Reasoning, Inductive Reasoning, Critical Thinking, Complex Problem Solving, Problem Sensitivity, Category Flexibility, Near Vision, Speech Recognition, Speech Clarity, Operations Analysis, Judgment and Decision Making, Engineering and Technology, English Language, Customer and Personal Service, Writing, Active Learning, Time Management, Information Ordering, Administration and Management, Mathematics.
Specific to Landscape Architects
- Originality
- Geography
- Coordination
- Social Perceptiveness
- Computers and Electronics
- Public Safety and Security
- Biology
- Service Orientation
Specific to Civil Engineers
- Mathematical Reasoning
- Science
- Systems Analysis
- Number Facility
- Physics
- Flexibility of Closure
- Perceptual Speed
- Far Vision
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Graphics or photo imaging software , Computer aided design CAD software , Geographic information system , Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Document management software , Data base user interface and query software , Project management software , Word processing software .
Specific to Landscape Architects
Full profiles
This page is a summary. See the complete source-backed profile for Landscape Architects or Civil Engineers — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Landscape Architects vs Architects, Except Landscape and Naval
- Landscape Architects vs Environmental Restoration Planners
- Landscape Architects vs Architectural and Civil Drafters
- Landscape Architects vs Sustainability Specialists
- Landscape Architects vs First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers
- Landscape Architects vs Architecture Teachers, Postsecondary
- Landscape Architects vs Civil Engineering Technologists and Technicians
- Landscape Architects vs Urban and Regional Planners
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Landscape Architects vs Civil Engineers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/landscape-architects-vs-civil-engineers
Singulariki. (2026). Landscape Architects vs Civil Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/landscape-architects-vs-civil-engineers
@misc{singulariki-landscape-architects-vs-civil-engineers,
title = {Landscape Architects vs Civil Engineers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/landscape-architects-vs-civil-engineers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.