Verdict
Teaching Assistants, Postsecondary and Tutors are effectively tied on AI exposure (48 vs 48). Choose on pay, interest and entry cost — not on automation risk.
Education
48 /100
AI grading and automated feedback tools are already entering universities, but leading seminars and mentoring graduate students stays human.
Full risk profile →Education
48 /100
AI tutoring platforms replicate much of what tutors do, but human accountability, motivation, and rapport still command a premium.
Full risk profile →| Metric | Teaching Assistants, Postsecondary | Tutors |
|---|---|---|
| AI Fear Score | 48/100 | 48/100 |
| Risk band | Watch | Watch |
| Automation probability | 48% | 48% |
| LLM task exposure | 48% | 48% |
| Median pay (BLS) | $44,930 | $40,090 |
| US workers | 155,010 | 174,660 |
| Timeline | AI grading assistants will handle routine evaluation within 2-3 years at most universities, pushing TAs toward higher-value mentorship; those who develop strong research profiles will transition smoothly. | AI tutors (Khan Academy Khanmigo, etc.) are already displacing commodity tutoring; human tutors who deliver accountability and emotional support will retain demand through 2028 but must differentiate. |
For long-tail occupations the two research anchors share a single AI-reviewed exposure estimate — see the methodology.
The usual pivots that reuse your experience while cutting exposure: Learning specialist, Academic coach, Educational diagnostician. See the full plan →
They're effectively tied: Teaching Assistants, Postsecondary scores 48/100 and Tutors scores 48/100 on our AI exposure scale.
Teaching Assistants, Postsecondary pays more at the median: $44,930 vs $40,090 (BLS May 2024).
Scores are estimates, not predictions — two research anchors applied to task mixes, with BLS May-2024 wages and employment. Not career advice.