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

Elementary School Teachers and AI

Moderate exposureAI score 5/10 · Education
5out of 10
JPE Score
Median salary
$62K
Forecast 2030
-7%
Employment
1.4M
BLS growth '23–'33
+1%
Trend
decline
Sector
Education

Exposure scores

JPE (Practical Exposure)5/10 — Moderate exposure
Felten AIOE (academic reference)8.6/10
BLS growth projection (2023–2033, 10yr)+1%

AI exposure explained

What does an AI score of 5/10 mean?

Interpretation

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

For Elementary School Teachers, AI exposure is moderate — some tasks will be assisted or automated, but the occupation as a whole is expected to evolve rather than disappear. Staying current with AI tools in the field is the key adaptation.


Forecast 2030

What changes for Elementary School Teachers?

Modeled employment change by 2030
-7%
Disruption risk: High

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 -7% means employment for Elementary School Teachers is modeled to decline by 2030. This is a scenario, not a prediction.


Sector context

Education and AI

Elementary School Teachers 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 experience selective automation of routine tasks while human judgment remains central.


AI tools

Which AI tools are already making an impact?

ChatGPTKhan Academy AIGrammarly

Career outlook

Moderate exposure — Your role is evolving

Invest in AI skills alongside your core expertise. The most valuable professionals in this field will be those who use AI to amplify their judgment, not those who compete with it.


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
Teaching Assistants, Except Postsecondary
AI 4/10·+2% 2030
Education
Secondary School Teachers
AI 6/10·-7% 2030
Education
Retail Salespersons
AI 5/10·-7% 2030
Sales
General and Operations Managers
AI 6/10·-5% 2030
Management

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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