Will AI replace Architects, Except Landscape and Naval?
Work in Architects, Except Landscape and Naval sits in the in-between: AI reaches some of it (~49% in theory) but is only measured doing about 8% today — part human, part machine.
O*NET-SOC 17-1011
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~49%). By late 2025, real-world AI use had reached about 8% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~49%), real-world use (~8%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- Direct activities of technicians engaged in preparing drawings or specification documents.
- Develop final construction plans that include aesthetic representations of the structure or details for its construction.
- Prepare scale drawings or architectural designs, using computer-aided design or other tools.
- Prepare information regarding design, structure specifications, materials, color, equipment, estimated costs, or construction time.
- 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.
- Integrate engineering elements into unified architectural designs.
- Plan layouts of structural architectural projects.
- Conduct periodic on-site observations of construction work to monitor compliance with plans.
- Prepare contract documents for building contractors.
- Plan or design structures such as residences, office buildings, theatres, factories, or other structural properties in accordance with environmental, safety, or other regulations.
- Administer construction contracts.
- Create three-dimensional or interactive representations of designs, using computer-assisted design software.
- Represent clients in obtaining bids or awarding construction contracts.
- Develop marketing materials, proposals, or presentations to generate new work opportunities.
- Perform predesign services, such as feasibility or environmental impact studies.
- Design structures that incorporate environmentally friendly building practices or concepts, such as Leadership in Energy and Environmental Design (LEED) standards.
- Design or plan construction of green building projects to minimize adverse environmental impact or conserve energy.
- Consult with clients to determine functional or spatial requirements of structures.
- Meet with clients to review or discuss architectural drawings.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.