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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Architecture Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Architecture teaching lands in "Somewhat Resilient" because while AI is genuinely changing how professors work, the heart of the job — mentoring students through design critiques, sparking creativity, and building professional judgment — is exactly what AI handles worst. Tools like Claude and Gemini are already helping faculty draft rubrics and brainstorm readings, and students are turning to AI tutors outside of office hours, which means the professor's role is shifting rather than disappearing.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Architecture teaching lands in "Somewhat Resilient" because while AI is genuinely changing how professors work, the heart of the job — mentoring students through design critiques, sparking creativity, and building professional judgment — is exactly what AI handles worst. Tools like Claude and Gemini are already helping faculty draft rubrics and brainstorm readings, and students are turning to AI tutors outside of office hours, which means the professor's role is shifting rather than disappearing.
Read full analysisAnalysis of Current AI Resilience
Architecture Teachers, PS
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting — not replacing — architecture professors. According to a recent ACSA review, faculty are evaluating how AI tools like generative image models, large language models, and platforms such as ComfyUI fit into design studios, while a 2025 AIA report, Artificial Intelligence Adoption in Architecture Firms: Opportunities & Risks, found that over 90% of architectural professionals expressed concerns about inaccuracies of AI outputs, unintended consequences, security, authenticity and transparency (ACSA AALA column, April 2026 [1]). Schools like Harvard's GSD and Columbia's GSAPP are running AI electives and ethics guidelines rather than handing courses over to bots (Buildings journal, Aug 2025 [2]).
On the teaching-task side, professors are using tools like Claude and Gemini to brainstorm readings, draft rubrics, and design assignments — though faculty surveyed by Anthropic said grading was the task chatbots performed worst at [3]. Students are also turning to AI tutors when office hours don't fit their schedules [3], nudging instructors to rethink advising.

Adoption is moving steadily but cautiously. The U.S. Department of Education recently awarded $169 million through FIPSE to embed AI tools and AI-supported instructional practices into postsecondary programs [4], which lowers cost barriers. But architecture faculty themselves often hesitate: a 2026 cross-sectional study of 298 architecture teachers in Saudi Arabia and Egypt found low awareness, negative perceptions, and low acceptance among teachers [5], worried about over-reliance harming student creativity.
Higher-ed analysts also note that if the AI bubble cools or public attitudes sour [6], adoption pressure could slow. The reassuring news for future architecture teachers: mentorship, design critique, grant-writing, and committee work — your most human skills — are the parts AI handles worst, and they're exactly what makes a great studio professor irreplaceable.

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They teach college students how to design buildings by explaining architectural concepts and guiding them in creating their own designs.
Median Wage
$101,480
Jobs (2024)
11,600
Growth (2024-34)
+2.0%
Annual Openings
900
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Act as advisers to student organizations.
Participate in campus and community events.
Write grant proposals to procure external research funding.
Participate in student recruitment, registration, and placement activities.
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
Advise students on academic and vocational curricula and on career issues.
Compile, administer, and grade examinations, or assign this work to others.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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