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

Higher Education Teachers and AI

High exposureAI score 6.5/10 · Education
6.5out of 10
JPE Score
Median salary
£46K
ASHE 2024
Forecast 2030
-5% to +10%
Employment
256K
ONS APS 2025
Employment growth 2021-2025 (ONS APS)
+11%
Forecast trend 2025-2030
stable
Part-time
24%
Female share
44%
Sector
Education

Exposure scores

JPE (Practical Exposure)6.5/10 — High exposure
Employment growth 2021-2025 (ONS APS)+11%

AI exposure explained

What does an AI score of 6.5/10 mean?

Interpretation

High exposure — Many tasks in this occupation can be automated or AI-assisted. Adaptation is key.

For Higher Education 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 Higher Education Teachers?

Expected employment change, 2025 to 2030
-5% to +10%
Midpoint +1% · Stable: invest in AI skills
Basenational projection, without AI+4%
Base + AIJPE 6.5/10: −3.1%+1%
Base + AI + roboticsno robotics effect before 2030+1%
Rows add up: the bottom row is the forecast.

The forecast starts from the national projection per occupational group and adds AI and robotics as separate layers. The band of -5% to +10% matters more than the midpoint.

Sources: base DfE Labour market and skills projections 2020 to 2035 (Working Futures), baseline · jobs, part-time and female share: ONS Annual Population Survey (Nomis NM_218_1), 2025 · salary: ASHE 2024. Working Futures differentiates growth only at the level of 26 occupational sub-major groups; the AI and robotics layers refine per occupation.

Read the methodology →


Simon Janssen
The person behind this map

I build with AI. And I track what it does to work.

I'm Simon Janssen, CTO and management board member at HappyNurse. This map shows, occupation by occupation, what AI does to work, based on official labour-market data rather than hype. On LinkedIn I share what I see as a CTO: what AI is already taking over, what it isn't, and what that means for people.


Sector context

Education and AI

Higher Education 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 AIGrammarlyCentury Tech

Career outlook

Deepen the human side

AI is changing parts of this work, but the jobs are expected to remain. Focus on the tasks where human judgement, relationships or creativity are central: those become more valuable. Combine that with strong AI skills.


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 personalised learning tools

AI tutors complement classroom instruction for every level

→ Century Tech, Khanmigo
Automate assessment and feedback

Instant, detailed feedback frees up time for mentoring

→ Grammarly, Turnitin AI

Related occupations

Similar occupations on the map

Secondary Education Teachers
AI 5.5/10·+2% 2030
Education
Primary Education Teachers
AI 5/10·+3% 2030
Education
Chief Executives and Senior Officials
AI 5.5/10·+3% 2030
Management
Production Managers in Manufacturing
AI 5/10·+3% 2030
Management

International

This occupation in other countries

🇺🇸Postsecondary Teachers
AI 7/10Postsecondary Teachers
🇩🇪Hochschuldozent/innen und Professor/innen
AI 7/10University Lecturers & Professors
🇫🇷Professeurs des universités
AI 6.5/10University Professors

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. Where shown, the Felten AIOE score is an academic reference. Job counts, growth 2021-2025, part-time and female share from the ONS Annual Population Survey (Nomis NM_218_1), SOC 2020; salaries from ASHE 2024 (an estimate where ASHE has no figure). The 2030 forecast (JPE-prognose v3) starts from the DfE Working Futures baseline and adds separate AI and robotics layers. These are modelled scenarios, not predictions. A high AI score does not automatically mean job loss. All data CC BY 4.0.

Full methodology, sources and download →


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