Verdict
Self-Enrichment Teachers is the safer bet: it scores 42/100 against 48/100 for Teaching Assistants, Postsecondary — 6 points less exposed to AI.
Education
42 /100
AI competes hard for online self-enrichment learners, but live community-based teaching and niche expertise still win.
Full risk profile →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 →| Metric | Self-Enrichment Teachers | Teaching Assistants, Postsecondary |
|---|---|---|
| AI Fear Score | 42/100 | 48/100 |
| Risk band | Watch | Watch |
| Automation probability | 42% | 48% |
| LLM task exposure | 42% | 48% |
| Median pay (BLS) | $45,590 | $44,930 |
| US workers | 308,520 | 155,010 |
| Timeline | Online AI-powered courses will absorb significant self-enrichment demand by 2027; teachers who offer live, community-based, or highly specialized experiences will adapt more easily. | 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. |
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: University lecturer / adjunct faculty, Academic research associate, Instructional designer. See the full plan →
Self-Enrichment Teachers is safer. It scores 42/100 vs 48/100 — Self-Enrichment Teachers keeps more tasks that need human judgment and context, while more of Teaching Assistants, Postsecondary's core tasks are automatable.
Self-Enrichment Teachers pays more at the median: $45,590 vs $44,930 (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.