Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They teach high school students various subjects, create lesson plans, and help them understand and apply what they learn to succeed academically.
This role is evolving
The career of a secondary school teacher is labeled as "Evolving" because AI tools are being used more and more to help with routine tasks, like grading and lesson planning, which saves teachers time. While these tools can make some tasks easier, they can't replace the important human parts of teaching, like inspiring and mentoring students.
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 evolving
The career of a secondary school teacher is labeled as "Evolving" because AI tools are being used more and more to help with routine tasks, like grading and lesson planning, which saves teachers time. While these tools can make some tasks easier, they can't replace the important human parts of teaching, like inspiring and mentoring students.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Secondary School Teacher
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
These days many U.S. secondary teachers use AI as an assistant, not a replacement. For routine tasks like creating worksheets, simple quizzes, or writing parent emails, teachers have free tools (e.g. ChatGPT-based helpers) that can speed their work. One recent survey found 60% of K–12 teachers used AI weekly to give detailed feedback to students, personalize lessons, or email parents about progress [1] [1].
Similarly, software can auto-grade multiple-choice or math problems and cut grading hours about in half [2] [3]. However, experts warn AI still struggles with rich feedback: it may miss nuances in student essays or creative work [2]. Importantly, analysts from McKinsey and others note that the heart of teaching – inspiring students, mentoring them, and building relationships – “cannot — and should not — be automated” [2] [4].
In short, current AI tools mostly augment teachers by trimming busywork and paperwork, freeing teachers to spend more time on students and classroom interaction [2] [4].

AI in the real world
AI is spreading in schools for a mix of reasons. On the plus side, the tools are widely available and can save teachers many hours. One teacher told reporters that using AI “streamlines mundane tasks” so she can focus energy on students [4].
Polls suggest teachers who use AI weekly save roughly six hours a week on tasks like lesson prep and grading [1]. In tight budgets and high-need schools, any time-saving is welcome – it might even reduce burnout and turnover [1].
On the other hand, adoption faces hurdles. School budgets and schedules are tight, and many districts have no clear rules yet. Surveys found most teachers (≈60%) have had no AI training [4].
Educators also worry about student privacy and bias: generative AI can sometimes produce convincing but wrong or insensitive answers [3] [4]. That’s why experts and policymakers urge caution. For example, UNESCO and the U.S. Dept. of Education recommend “human-centered” AI use with strong oversight [5] [3].
In practice, AI is growing slowly in schools as teachers, parents, and administrators build trust. With sensible rules and training, educators hope AI can help – but teachers’ judgment and personal connection will always stay at the core of schooling [5] [4].

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Median Wage
$64,580
Jobs (2024)
1,094,500
Growth (2024-34)
-1.6%
Annual Openings
66,200
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Enforce all administration policies and rules governing students.
Guide and counsel students with adjustment or academic problems, or special academic interests.
Instruct and monitor students in the use of equipment and materials to prevent injuries and damage.
Confer with parents or guardians, other teachers, counselors, and administrators to resolve students' behavioral and academic problems.
Prepare objectives and outlines for courses of study, following curriculum guidelines or requirements of states and schools.
Prepare and implement remedial programs for students requiring extra help.
Confer with other staff members to plan and schedule lessons promoting learning, following approved curricula.
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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