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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Self-Enrichment Teachers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Self-enrichment teaching — think cooking classes, yoga instruction, art workshops, and music lessons — is holding up really well against AI because the heart of this job is deeply human. Demonstrating a brush stroke, correcting someone's yoga pose, or cheering on a nervous beginner all require real-time observation, physical presence, and genuine emotional connection that AI simply can't replicate.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Self-enrichment teaching — think cooking classes, yoga instruction, art workshops, and music lessons — is holding up really well against AI because the heart of this job is deeply human. Demonstrating a brush stroke, correcting someone's yoga pose, or cheering on a nervous beginner all require real-time observation, physical presence, and genuine emotional connection that AI simply can't replicate.
Read full analysisAnalysis of Current AI Resilience
Self-Enrichment Teachers
Updated Quarterly • Last Update: 5/15/2026

Right now, AI is mostly being used to help self-enrichment teachers — like cooking, art, music, and yoga instructors — rather than replace them. The biggest impact is on behind-the-scenes work like lesson planning and creating materials. A national Gallup and Walton Family Foundation study found that 60% of teachers used an AI tool during the 2024-25 school year [1], with the top uses being preparing to teach, making worksheets, and modifying materials for individual learners — and weekly users saved an average of 5.9 hours per week.
A newer Jobs for the Future survey released in March 2026 found that nearly seven in ten learners now report AI is incorporated into their coursework or training [2], and that institutional AI training jumped more than 20 percentage points in a single year. In adult and hobby education specifically, Digital Promise notes that AI can personalize learning and automate tasks while gamification boosts engagement and retention [3], helping instructors keep learners motivated. The hands-on parts of teaching — demonstrating a brush stroke, spotting someone's yoga pose, encouraging a nervous beginner — remain almost entirely human, because they rely on real-time observation and emotional connection.
EdWeek's March 2026 reporting shows teachers are still mostly using AI for basic lesson plans and administrative tasks rather than core instruction [4].

Adoption in self-enrichment teaching is moving at a medium pace, and there are good reasons it won't fully replace human instructors. On the "speed it up" side, tools like ChatGPT, recipe generators, and AI yoga apps are cheap or free, and EdWeek reports that the share of teachers using AI-run tools nearly doubled from 2024 to 2025 [4]. Industry groups are pushing innovation too — IACET's 2025 Instructional Impact Award honored a provider that integrates instructor-led training with AI and VR simulations to upskill learners faster [5].
On the "slow it down" side, hobby classes exist largely because people want human connection, creativity, and fun — things AI can't fully provide. Digital Promise also warns that the costs of advanced AI platforms can be substantial for both institutions and learners [3], and concerns around data privacy, bias, and the digital divide remain real. JFF found that 11% of institutions ban AI entirely and 13% of learners don't even know their school's policy [2], showing that rules are still catching up.
The good news for anyone curious about this career: human warmth, encouragement, and hands-on coaching are exactly the skills AI struggles with most — so this job looks more like one AI will assist than replace.

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They teach fun classes like art, music, or cooking to help people learn new skills and hobbies for personal growth and enjoyment.
Median Wage
$45,590
Jobs (2024)
417,500
Growth (2024-34)
+3.7%
Annual Openings
51,400
Education
High school diploma or equivalent
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Organize and supervise games and other recreational activities to promote physical, mental, and social development.
Participate in publicity planning and student recruitment.
Use computers, audio-visual aids, and other equipment and materials to supplement presentations.
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 fl...
Meet with other instructors to discuss individual students and their progress.
Instruct students individually and in groups, using various teaching methods such as lectures, discussions, and demonstrations.
Instruct and monitor students in the use and care of equipment and materials to prevent injury and damage.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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