Will AI replace Self-Enrichment Teachers?
Work in Self-Enrichment Teachers sits in the in-between: AI reaches some of it (~36% in theory) but is only measured doing about 7% today — part human, part machine.
O*NET-SOC 25-3021
How your 20 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~36%). By late 2025, real-world AI use had reached about 7% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~36%), real-world use (~7%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 20 tasks, ratedBased on real task-level AI scores — click to collapse
- 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.
- Adapt teaching methods and instructional materials to meet students' varying needs and interests.
- Monitor students' performance to make suggestions for improvement and to ensure that they satisfy course standards, training requirements, and objectives.
- Prepare and administer written, oral, and performance tests, and issue grades in accordance with performance.
- Confer with other teachers and professionals to plan and schedule lessons promoting learning and development.
- Review instructional content, methods, and student evaluations to assess strengths and weaknesses, and to develop recommendations for course revision, development, or elimination.
- Plan and conduct activities for a balanced program of instruction, demonstration, and work time that provides students with opportunities to observe, question, and investigate.
- Use computers, audio-visual aids, and other equipment and materials to supplement presentations.
- Select, order, and issue books, materials, and supplies for courses or projects.
- 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.
- Prepare materials and classrooms for class activities.
- Enforce policies and rules governing students.
- Meet with other instructors to discuss individual students and their progress.
- Attend professional meetings, conferences, and workshops to maintain and improve professional competence.
- Plan and supervise class projects, field trips, visits by guest speakers, contests, or other experiential activities, and guide students in learning from those activities.
- Attend staff meetings and serve on committees, as required.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.