Will AI replace self-enrichment teachers?
Unlikely. Most of the work is hard for today's AI to speed up. Self-Enrichment Teachers score 36 out of 100 (moderate exposure), #463 of 923 US jobs. AI could speed up 17 of the job's 30 tasks, 5 of them on its own, while 13 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which self-enrichment teachers tasks can AI do?
The most exposed tasks include "Maintain accurate and complete student records as required by administrative policy"; "Establish clear objectives for all lessons, units, and projects and communicate those objectives to students"; "Prepare instructional program objectives, outlines, and lesson plans".
Which self-enrichment teachers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations"; "Prepare students for further development by encouraging them to explore learning opportunities and to persevere with challenging tasks"; "Observe students to determine qualifications, limitations, abilities, interests, and other individual characteristics".
Are people already using AI for this work?
Yes. In April–May 2026, 9 of the 30 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as self-enrichment teachers, and what do they earn?
About 332,110 people in the US, with median pay of $46,800 a year (BLS, May 2025).