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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
Family and Consumer Sciences Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Family and Consumer Sciences teachers at the college level land in "Somewhat Resilient" because AI is genuinely changing a meaningful chunk of their daily work — things like building lesson plans, writing syllabi, tracking grades, and updating course materials are all tasks that AI tools can now handle quickly and well. That shift means teachers will spend less time on paperwork and more time doing what AI simply can't do: mentoring students through real-life decisions about budgeting, nutrition, relationships, and family life.
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
Family and Consumer Sciences teachers at the college level land in "Somewhat Resilient" because AI is genuinely changing a meaningful chunk of their daily work — things like building lesson plans, writing syllabi, tracking grades, and updating course materials are all tasks that AI tools can now handle quickly and well. That shift means teachers will spend less time on paperwork and more time doing what AI simply can't do: mentoring students through real-life decisions about budgeting, nutrition, relationships, and family life.
Read full analysisAnalysis of Current AI Resilience
Postsecondary FACS Teacher
Updated Quarterly • Last Update: 5/15/2026

Good news first: most of what postsecondary Family and Consumer Sciences (FCS) teachers do is being augmented by AI, not replaced. The tasks with the highest automation scores — like updating curricula or tracking grades — are exactly the ones AI helps with most. A recent study in the Journal of Family and Consumer Sciences Education [1] examined FCS teachers' attitudes toward classroom AI, noting that "the rapid advancement of artificial intelligence (A.I.) has transformed the educational landscape, offering both opportunities and challenges for educators." A national survey by Digital Promise found that AI adoption is largely driven by individual faculty initiative rather than institutional strategy, with faculty experimenting on their own, and over 70% of survey respondents reported that students have access to paid AI tools.
The OECD Digital Education Outlook 2026 [2] describes how generative AI is being used by teachers to plan lessons, by students to learn, and by institutions to streamline operations — closely matching FCS tasks like writing syllabi, building reading lists, and keeping records. Tasks tied to mentoring students, supervising research, and showing up at community events remain firmly human.

Adoption is moving quickly but unevenly. Inside Higher Ed [3] reports that 86 percent of professors said the impact of AI on teachers will be "significant and transformative or at least noticeable," with only 4 percent saying AI's effect on teaching will "not amount to much." Still, about 68 percent of faculty said their institutions have not prepared faculty to use AI in teaching, and 82 percent said resistance to AI or unfamiliarity with AI are hurdles in adopting the tools. Cost is another brake: 60% of faculty reported they are not given compensated time to integrate new technologies.
Labor market conditions favor stability — the Bureau of Labor Statistics [4] projects that postsecondary teacher occupations are expected to grow faster than average, at 5.9 percent. The World Economic Forum [5] emphasizes that future-critical capabilities include human-and-adaptive skills like creativity, empathy, communication, and leadership — strengths that define great FCS teaching. So while AI will handle more paperwork, your ability to guide students through real-life decisions about food, money, and family is what keeps this career deeply human.

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They teach college students about managing family life, cooking, and budgeting to help them make smart choices in everyday living.
Median Wage
$77,280
Jobs (2024)
3,200
Growth (2024-34)
+3.4%
Annual Openings
200
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
Participate in campus and community events.
Perform administrative duties such as serving as department head.
Compile bibliographies of specialized materials for outside reading assignments.
Write grant proposals to procure external research funding.
Supervise undergraduate or graduate teaching, internship, and research work.
Select and obtain materials and supplies such as textbooks.
Initiate, facilitate, and moderate classroom discussions.
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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