Simon Janssen
Simon Janssen· CTO at HappyNurse · US AI Exposure Map 2026
Education

Teaching Assistants, Except Postsecondary and AI

Moderate exposureAI score 4/10 · Education
4out of 10
JPE Score
Median salary
$35K
Forecast 2030
+2% to +3%
Employment
1.4M
BLS growth '23–'33
+3%
Trend
stable
Sector
Education

Exposure scores

JPE (Practical Exposure)4/10 — Moderate exposure
Felten AIOE (academic reference)7.7/10
BLS growth projection (2023–2033, 10yr)+3%

AI exposure explained

What does an AI score of 4/10 mean?

Interpretation

Moderate exposure — Parts of this work can be assisted by AI. The role will evolve but not disappear.

Teaching Assistants, Except Postsecondary has low AI exposure, meaning most tasks require physical presence, interpersonal skills, or tacit knowledge that AI cannot automate in the near term.


Forecast 2030

What changes for Teaching Assistants, Except Postsecondary?

Modeled employment change by 2030
+2% to +3%
Disruption risk: Medium

This model combines BLS Employment Projections (2023–2033 horizon, interpolated to 2030) with an AI disruption factor calibrated for the US labor market (at-will employment, higher labor mobility, stronger AI adoption). A range of +2% to +3% means employment for Teaching Assistants, Except Postsecondary is modeled to grow by 2030. This is a scenario, not a prediction.


Sector context

Education and AI

Teaching Assistants, Except Postsecondary belongs to the Education sector. This sector has an education level index of 4/4, indicating higher formal education requirements. Occupations in Education with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

ChatGPTKhan Academy AI

Career outlook

Low exposure — Leverage AI to enhance your strengths

Direct AI impact is limited, but the world around you is changing. Use AI where it supports your work and keep investing in what makes this occupation uniquely human.


Personal development

Personal development plan

Based on your sector (Education) and AI exposure level, here are three concrete steps to future-proof your career.

Design AI-enhanced curricula

Adaptive learning paths improve student outcomes by 30%

Khan Academy AI, NotebookLM
Implement personalized learning tools

AI tutors complement classroom instruction for every level

Khanmigo, Duolingo Max
Automate assessment and feedback

Instant, detailed feedback frees up time for mentoring

Grammarly, Turnitin AI

Related occupations

Similar occupations on the map

Postsecondary Teachers
AI 7/10·-10% 2030
Education
Elementary School Teachers
AI 5/10·-7% 2030
Education
Secondary School Teachers
AI 6/10·-7% 2030
Education
Home Health and Personal Care Aides
AI 3/10·+7% 2030
Healthcare Support
Retail Salespersons
AI 5/10·-7% 2030
Sales

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. The Felten AIOE score is shown as an academic reference. Employment and salary data from BLS OEWS May 2024. A high AI score does not automatically mean job loss — Software Developers score 9/10 but BLS projects +17% growth (2023–2033). The 2030 forecast interpolates BLS 10-year projections to a 2030 horizon and adjusts with AI disruption pressure. These are modeled scenarios, not predictions. All data CC BY 4.0.

Full methodology, sources and download →


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