Sector Analysis
Education & AI Risk
Based on Oxford Martin School Research · 2013
Education is one of the most automation-resistant sectors, anchored by human relationship and social trust.
Average risk
14%
Jobs analyzed
5
Highest risk role
Librarian27% risk
Jobs in this sector
| Job title | Risk score 2026 | Level |
|---|---|---|
| Librarian | 27% | Low |
| University Professor | 20% | Low |
| Philosopher / Ethicist | 15% | Low |
| Teacher | 6% | Low |
| School Principal | 4% | Low |
Analysis
Teachers, professors, and educational administrators score at the extreme low end of automation probability in the Oxford research — often below 1%. The explanation is structural: education is fundamentally a social and relational enterprise.
The value a teacher provides is not information delivery — that has been automatable since the internet. The value lies in motivation, accountability, relationship, and the ability to read a room of 30 different human beings and respond in real time.
AI tutoring tools present a genuine disruption to certain segments: standardized test preparation, language learning, and skills-based training. These are already being automated with measurable effectiveness.
The core classroom teacher, particularly in primary and secondary education, remains one of the most stable occupations in the Oxford dataset — and in all likelihood will remain so.
Want to know your specific role?
Check your specific role →All risk scores based on Frey & Osborne (2013), Oxford Martin School. Note: this study predates generative AI — actual risk may be higher than shown.