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Source-backed profile

Secondary School Teachers, Except Special and Career/Technical Education

Teach one or more subjects to students at the secondary school level.

BLS SOC 25-2031 · O*NET-SOC 25-2031.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$72,040

Projected change, 2025–2035

-0.2%

2025–2035 annual average openings

63,500

AI exposure

High

Editorial analysis

Teaching changes when every student has an instant answer machine

Generative AI creates a particularly visible challenge for secondary teachers because students can use it to explain algebra, summarize a novel, translate a passage, write an essay, create study questions, or complete an assignment. The technology is therefore both a tutoring tool and a reason to reconsider what classroom work is intended to measure.

The assignment may have to change before the subject does

If a homework task can be completed perfectly by copying a prompt into an AI system, teachers may put more emphasis on discussion, drafts, oral explanation, in-class work, source evaluation, projects, and showing the reasoning behind an answer. The goal becomes harder to fake: demonstrate understanding rather than merely submit a polished product.

  1. Use AI to create examples, practice questions, rubrics, and differentiated materials.
  2. Teach students when AI is helpful and when it produces unreliable or shallow answers.
  3. Redesign assessment so students still practice the thinking the course is meant to develop.
  4. Preserve the human relationships that influence motivation, confidence, and persistence.

Teachers may become some of the most important AI-literacy instructors students encounter. Knowing a subject will remain essential, but so will teaching students how to question generated information instead of treating fluent language as proof.

Labor-market picture

Two measures, different questions

These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.

Employment

Employment, 2025
1,087,500 jobs
Projected employment, 2035
1,085,000 jobs
Projected change, 20252035
-2,500 jobs (-0.2%)

Relative AI exposure

BLS category: High. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.

Relative AI exposure · High

Work profile

Representative tasks

These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.

  • Prepare students for later grades by encouraging them to explore learning opportunities and to persevere with challenging tasks.
  • Instruct through lectures, discussions, and demonstrations in one or more subjects, such as English, mathematics, or social studies.
  • Establish and enforce rules for behavior and procedures for maintaining order among students.
  • Prepare materials and classrooms for class activities.
  • Adapt teaching methods and instructional materials to meet students' varying needs and interests.
  • Prepare, administer, and grade tests and assignments to evaluate students' progress.

Skills that matter

Skills in the source profile

Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.

Technology and tools

These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.

  • Development environment software
  • Data base user interface and query software
  • Computer based training software
  • Analytical or scientific software
  • Electronic mail software
  • Video creation and editing software
  • Project management software
  • Cloud-based data access and sharing software

Preparation

Typical entry education
Bachelor's degree
Related experience
None
On-the-job training
None

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Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.