AI Resilience Report forLandscape Architects

If you love designing outdoor spaces, here's some good news: AI is showing up as a helper more than a replacement. Right now, landscape architects mostly use AI to speed up the "back-office" and early-idea parts of their jobs, not the hands-on design and client work. According to a Landscape Architecture Magazine feature ^[1], a shift is underway from an initial period of experimentation focused on generative AI, with most firms using off-the-shelf software, toward using AI in practice, particularly in text-based workflows.

A survey it cites found that 43.4 percent of respondents reported using AI in their practice, while 56.6 percent responded that they were not using AI, and that people mostly use it for writing briefs, concept design, and RFP responses ^[1].

An ASLA Digital Technology survey ^[2] found that the most common applications include knowledge generation/generative AI (e.g., ChatGPT, DALL·E, Adobe Firefly) for creating data, like text, images, video, or music (54%) and that AI is primarily used in the early stages of design: writing reports (45%), conceptual design (41%), and responding to RFPs (29%). So the tasks with the highest "automation scores" — research and drawing preparation — are being augmented: designers still lead, but AI helps them iterate faster. Client meetings, site follow-ups, and subcontractor management are barely touched, because they depend on trust, judgment, and being physically present.

As McKinsey puts it ^[3] about the broader design and construction industry, when agents handle routine tasks, people can focus on making decisions about pricing, risk, and other areas that require human judgment and fuel differentiation.

Adoption in landscape architecture is real but cautious. On the "speed it up" side, tools like ChatGPT, NotebookLM, and Midjourney are already commercially available and cheap, and clients are pushing firms to use them. One firm leader told LAM that clients are also becoming increasingly proficient in AI and look for AI-driven efficiencies from design firms, even asking how AI will reduce costs and timelines ^[1].

A Dezeen writeup ^[4] of a Chaos/Architizer survey of ~800 architects reported that 64 per cent of participants have experimented with AI tools in their work and 86 per cent said it saved them time, while 31 per cent said it significantly sped things up.

But several forces are slowing things down. First, the labor market is stable, not desperate — the U.S. Bureau of Labor Statistics projects ^[5] employment of landscape architects is projected to grow 3 percent from 2024 to 2034, about as fast as the average for all occupations, so firms aren't panicking to replace people. Second, benefits are unclear: the ASLA survey ^[2] found only 27% said AI has saved them time; 48% were unsure, and 7% said it added time.

Third, licensing and ethics matter — CLARB, the licensing board organization, warns of risks around IP, bias, and disclosure ^[6], stressing that landscape architects' duties to public health, safety and welfare remain unchanged even when using AI assistance. Finally, there's an environmental tension: a profession built on sustainability is uneasy about AI's water and energy footprint. The bottom line for you?

Human creativity, ecological knowledge, and people skills are still the heart of this career — AI is becoming your sidekick, not your competition.