Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Secondary School Teacher:

50.8%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient secondary school teaching is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For secondary school teachers, all eight sources had data, though AI exposure signals were split: Anthropic and OpenAI Signals saw meaningful AI overlap with classroom tasks, while Will Robots Take My Job rated human contribution high and Microsoft landed in the middle. That disagreement keeps confidence at medium-high. Consistent "medium" ratings across demand and pay land the role at "Mostly Resilient."

AI Resilience Report forSecondary School Teachers, Except Special and Career/Technical Education

$72,040 median salary63,500 annual openingsSOC Code: 25-2031.00

Secondary School Teachers, Except Special and Career/Technical Education are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Secondary school teaching is labeled "Mostly Resilient" because the heart of the job, which is mentoring students, building relationships, and guiding young people through challenges, is something AI simply cannot replicate. AI tools are already helping teachers save time on tasks like writing quiz questions or drafting lesson plans, so those parts of the work are shifting rather than disappearing.

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This role is mostly resilient

Secondary school teaching is labeled "Mostly Resilient" because the heart of the job, which is mentoring students, building relationships, and guiding young people through challenges, is something AI simply cannot replicate. AI tools are already helping teachers save time on tasks like writing quiz questions or drafting lesson plans, so those parts of the work are shifting rather than disappearing.

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Analysis of Current AI Resilience

Secondary School Teacher

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Secondary School Teacher jobs?

Right now, AI is showing up in high school classrooms mostly as an augmentation tool — a helper for teachers, not a replacement. A nationally representative NPR/Ipsos poll of K–12 teachers [1] found that a majority of teachers polled — 6-in-10 — say they've used AI themselves to help with work tasks, and most who use it say it saves them time, though 63% say the time savings equal two hours or less per week. Teachers are using it for exactly the tasks your list flags as automatable: generating multiple choice questions for assessments, a job that "normally, as a teacher, would have taken you probably upwards of an hour," now takes about five minutes.

The National Education Association [2] notes that the percentage of teachers using AI-driven tools in their classrooms nearly doubled between 2023 and 2025, mainly for lesson planning, drafting reports, and record-keeping. But the tasks with very low automation scores — mentoring, attending meetings, and helping students with disabilities — remain firmly human. Brookings researchers [3] argue that the most valuable teacher work is relational: "AI-enriched learning" requires "well-designed AI tools and platforms" deployed "as a part of an overall, pedagogically sound approach" — meaning a teacher still leads.

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AI Adoption

How fast is AI adoption growing for Secondary School Teacher?

Adoption is happening fast, but with real friction. On the "fast" side, tools are cheap and widely available, and burnout makes time-saving irresistible. The U.S. AI-in-education market generated about $2.5 billion in revenue last year and is expected to exceed $15 billion by 2033 [4], so vendors are pouring in.

The NEA is training teachers through AI-focused micro-credentials [5], and the National Council of Teachers of English has released a working framework centered on critical thinking, critical AI literacy, and academic integrity. On the "slow" side, unions, parents, and lawmakers are pushing back hard. The American Federation of Teachers [4] is calling for wide-scale rollbacks of student use of digital technology, restrictions on student-focused AI tools, and greater research and teacher training on safety and privacy, and its president has stated that AI will be an issue in "virtually every contract negotiation" this year.

The AFT's official AI position [6] emphasizes safeguards, equity, and educator empowerment over pure efficiency. Meanwhile, more than half of teachers worry AI is hurting students' critical thinking skills — a concern that will likely keep schools from handing core teaching to machines anytime soon. The takeaway for you: the routine paperwork parts of teaching are being automated, but the human connection, judgment, and mentorship at the heart of the job are exactly what schools — and students — say they want more of.

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Will AI replace Secondary School Teacher?

Will AI replace Secondary School Teacher?

No. We don't think AI will replace Secondary School Teachers, Except Special and Career/Technical Education, though we do expect the job to change.

Our 50.8% AI Resilience Score puts this career in "Mostly Resilient" territory, and the evidence backs that up. AI is already in the classroom, but mostly as a time-saver. A majority of teachers polled say they've used AI for work tasks, and those who do report it cuts time on things like drafting assessments and lesson plans [1]. The percentage of teachers using AI-driven tools nearly doubled between 2023 and 2025 [2]. That's augmentation, not replacement.

What stays human is the core of the job: mentoring teenagers, reading the room, building trust, and responding to students who are struggling emotionally or academically. Brookings researchers argue that effective AI-enriched learning still requires a teacher leading with sound pedagogy [3]. Schools and unions are also pushing back hard on handing too much to machines, with the American Federation of Teachers calling AI a priority in contract negotiations [6].

The honest picture is that paperwork and routine prep will keep shifting to AI tools. But the relational, judgment-heavy work that defines great teaching is exactly what students and schools say they need more of, not less.

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Latest AI news for Secondary School Teacher

These articles highlight the transformative impact of AI on secondary school teaching, emphasizing the need for resilience in adapting to new technologies. For instance, the article on North Dakota schools reveals that AI can automate tasks like grading, allowing teachers to spend more time with students, which is crucial for fostering meaningful connections. Additionally, the article discussing the double-edged sword effect of AI points out that while it can enhance innovative teaching, educators must remain proactive in integrating these tools effectively. Embracing AI can empower future teachers to enhance their teaching strategies and student engagement.

More Career Info

Career: Secondary School Teachers, Except Special and Career/Technical Education

They teach high school students various subjects, create lesson plans, and help them understand and apply what they learn to succeed academically.

Employment & Wage Data

Median Wage

$72,040

Jobs (2025)

1,087,500

Growth (2025-35)

-0.2%

Annual Openings

63,500

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

97% ResilienceCore Task

Attend professional meetings, educational conferences, and teacher training workshops to maintain and improve professional competence.

2

97% ResilienceCore Task

Provide students with disabilities with assistive devices, supportive technology, and assistance accessing facilities such as restrooms.

3

96% ResilienceCore Task

Confer with parents or guardians, other teachers, counselors, and administrators to resolve students' behavioral and academic problems.

4

96% ResilienceCore Task

Meet with other professionals to discuss individual students' needs and progress.

5

96% ResilienceCore Task

Sponsor extracurricular activities, such as clubs, student organizations, and academic contests.

6

96% ResilienceCore Task

Attend staff meetings and serve on committees, as required.

7

96% ResilienceSupplemental

Perform administrative duties, such as school library assistance, hall and cafeteria monitoring, and bus loading and unloading.

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.

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

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