AI Resilience Report forLandscape Architects

Right now, AI is mostly augmenting landscape architects rather than replacing them, and the work is concentrated in the early, paperwork-heavy parts of the job. A global survey conducted with ASLA, CSLA, and IFLA found that the most common applications are background research and information gathering (50%), drafting briefs, proposals or syllabi (47%), and predesign/business development work (41%), and three-quarters of respondents report increased task efficiency when using AI tools. ASLA's own profession survey echoes this, noting that AI is primarily used in the early stages of design: writing reports (45%), conceptual design (41%), and responding to RFPs (29%).

Designers describe practical workflows like uploading client briefs into NotebookLM or Perplexity so they can ask plain-English questions about site requirements, as Henning Larsen did when it used NotebookLM to digest 258 pages of German RFP text for a Max Planck campus project ^[1]. Visualization is the other big area: a 2026 architecture-industry survey found that 64% of architects report experimenting with AI tools in their daily workflows, and 86% report that AI saves time or speeds up their workflow, with more than half saving at least five hours per week. Importantly, the more human-centered core tasks — integrating existing land features, presenting to communities, and walking sites — are not being automated.

Instead, AI rendering is being used as a real-time "drawing hand" during community co-design sessions ^[1], which actually amplifies the designer's listening and facilitation skills.

Adoption is moving fast but unevenly. On the "speed up" side, off-the-shelf tools like ChatGPT, Midjourney, and NotebookLM are cheap and already commercially available, and clients are pushing firms to use them. A Landscape Architecture Magazine feature notes that AI adoption is increasingly affecting client relationships, with clients expecting firms to reduce project quotes and increase speed and efficiency through the use of AI.

Labor-market pressure also matters: the U.S. Bureau of Labor Statistics projects employment of landscape architects to grow only 3% from 2024 to 2034 ^[2], so firms are looking to AI to expand capacity without hiring. On the "slow down" side, the IFLA/ASLA survey found that over 70% of respondents expressed concerns about business ethics, accuracy, and the erosion of human connection in design, with many also raising concerns about intellectual property and impacts on entry-level roles. Sustainability values create another brake — landscape architects are openly debating the environmental and energy footprint of data centers ^[1], which clashes with the field's core mission.

Licensing rules, public-stakeholder review, and the need for real human judgment when standing in a park talking to neighbors all mean AI will keep assisting, not replacing, you. If you're considering this career, the good news is clear: the skills hardest to automate — empathy, ecological judgment, and storytelling with a community — are exactly what makes a great landscape architect.