Will AI replace self-enrichment teachers?

Unlikely, though parts of the work are changing. About 1h 24m of an 8-hour shift goes to tasks touched by AI working on its own. The other 6h 36m (83%) stays with people. Separately, BLS expects about 3.5% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 5 of 30 tasks, about 1h 24m of a typical shift. The biggest ones:

• Prepare instructional program objectives, outlines, and lesson plans. (25m a shift, AI mostly does it alone)
• Adapt teaching methods and instructional materials to meet students' varying needs and interests. (17m a shift, AI mostly does it alone)
• Plan and conduct activities for a balanced program of instruction, demonstration, and work time that provides students with opportunities to observe, question, and investigate. (17m a shift, AI mostly does it alone)
• Use computers, audio-visual aids, and other equipment and materials to supplement presentations. (17m a shift, AI mostly does it alone)
• Review instructional content, methods, and student evaluations to assess strengths and weaknesses, and to develop recommendations for course revision, development, or elimination. (8m a shift, AI mostly does it alone)

Not in workplaces like this one, based on a 2026 review of robot deployments. 2 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 5 physical tasks, no robot has shown it can do the work yet.

6h 36m of a typical shift, or 83%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations. (1h 58m a shift)
• Conduct classes, workshops, and demonstrations, and provide individual instruction to teach topics and skills, such as cooking, dancing, writing, physical fitness, photography, personal finance, and flying. (59m a shift)
• Prepare materials and classrooms for class activities. (25m a shift)
• Prepare students for further development by encouraging them to explore learning opportunities and to persevere with challenging tasks. (17m a shift)
• Maintain accurate and complete student records as required by administrative policy. (17m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 81% work at arm's length or closer to other people
• 77% are in constant contact with other people
• 76% talk face to face with others every day

For the 4 tasks in this job where AI shows up and timing data exists, a typical request takes about 5h 22m for a person alone and about 32m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Use computers, audio-visual aids, and other equipment and materials to supplement presentations (about 8h 11m alone, 28m with AI)
• Prepare instructional program objectives, outlines, and lesson plans (about 6h 1m alone, 29m with AI)
• Review instructional content, methods, and student evaluations to assess strengths and weaknesses, and to develop recommendations for course revision, development, or elimination (about 4h 43m alone, 36m with AI)

On Indeed, job postings in the Education & Instruction sector are at 107% of their February 2020 level (all U.S. postings: 104%), down 9.5% from a year earlier, as of Oct 9, 2026. BLS separately expects about 50,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $46,800 a year ($22.50 an hour), 8% below the median for all U.S. jobs ($50,980). Most people in this job earn between $30,050 and $92,840 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 434,000 jobs in 2035. It expects about 50,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 332,000 people in the U.S., roughly 0.21% of all workers (BLS, May 2025). That makes it the 121st largest of the 796 jobs on this site. BLS expects about 434,000 in 2035.

The most common requirement is a master's degree: about 35% of people in the job said so in the official O*NET survey. O*NET rates the job at level 3 of 5 for preparation, which usually means: vocational school or associate's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Learning Strategies, Instructing, Speaking, Service Orientation
• Get strong at the parts of the job that stay with people (listed above), which take 6h 36m of a typical shift
• Tools employers list: Adobe Acrobat, Adobe Photoshop, Hypertext markup language HTML, Microsoft Access, Microsoft Excel
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors (1h 39m touched, $62k median pay)
• Tutors (3h 46m touched, $43k median pay)

Each task carries its own evidence label. For this job: 6 observed in real AI use, 24 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.