Medium AI Risk Slow Growth

Postsecondary teachers, all other

SOC Code: 25-1199

Postsecondary teachers, all other carries a 35% AI exposure score (Medium automation risk), with a median annual wage of $78,490 and +1.8% projected employment growth from 2024 to 2034 (BLS), affecting approximately 183,400 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
35% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+1.8%
2024–2034 (BLS)
+3,400 jobs
Median Annual Wage
$78,490
BLS May 2024
How wage figures are sourced →
The verdict

At 35% AI exposure, Postsecondary teachers, all other sits 2 points below the 37.2% average across 832 U.S. occupations - more exposed than 53% of them. Most of its core tasks still require human judgment.

35%
AI exposure
Top 47%
most exposed
+1.8%
Job growth 2024–34
$78,490
Median wage

Where Postsecondary teachers, all other sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Postsecondary teachers, all other marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 47% by AI exposure Higher AI exposure than 53% of all 832 occupations.

Postsecondary teachers, all other has ai exposure of 35%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Postsecondary teachers, all other vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Postsecondary teachers, all other is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk25.4%28.9%32.5%36.1%39.6%-3.0%2.3%7.7%13.0%18.3%AI exposure (%) →Projected growth (%) →Postsecondary teacheTeaching assistantsElementary school teSecondary school teaMiddle school teachePreschool teachersSubstitute teachersSelf-enrichment teacHealth specialties tInstructional coordiSpecial education teTutors

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

183,400
Employment 2024
186,800
Projected 2034
+1.8%
Change (%)
+3,400
Change (jobs)

Occupation Insight

Postsecondary teachers, all other (SOC 25-1199) carries an AI exposure score of 35%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 183,400 workers in this occupation in 2024, and projects a +1.8% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $78,490, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Doctoral or professional degree, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Postsecondary teachers, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Doctoral or professional degree
Work Experience
None
On-the-Job Training
None

Frequently Asked Questions

Will AI replace Postsecondary teachers, all other?

Postsecondary teachers, all other has an AI exposure score of 35%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Postsecondary teachers, all other?

According to BLS Employment Projections 2024-2034, Postsecondary teachers, all other is projected to grow by 1.8% over the decade. Current employment stands at approximately 183,400 workers.

What skills are needed for Postsecondary teachers, all other?

Postsecondary teachers, all other requires a combination of technical knowledge and interpersonal skills. Typical education requirement: Doctoral or professional degree.

How much do Postsecondary teachers, all other earn?

The median annual wage for Postsecondary teachers, all other is $78,490, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Postsecondary teachers, all other?

The typical entry-level education for Postsecondary teachers, all other is Doctoral or professional degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Postsecondary teachers, all other?

Postsecondary teachers, all other roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.8
out of 5.0

Medium automation risk based on O*NET task analysis. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.