Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Tutors:

42.7%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient tutoring is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For tutoring, all eight sources had data and mostly agreed: AI Resilience Model, Anthropic, Microsoft, and OpenAI Signals all rated AI exposure as low for resilience, while Will Robots Take My Job landed at medium. That near-consensus on AI's ability to handle explanations and practice exercises keeps confidence at medium-high, and leaves tutors "Somewhat Resilient," with demand and pay holding the score up.

AI Resilience Report forTutors

$43,350 median salary34,200 annual openingsSOC Code: 25-3041.00

Tutors are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Tutoring is "Somewhat Resilient" because AI is genuinely changing parts of the job, but research keeps showing it cannot replace the human connection that makes tutoring actually work. Studies from Khan Academy and Stanford both found that students disengage from AI-only tutoring tools, and the biggest wins come when AI supports a human tutor rather than replacing one.

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This role is somewhat resilient

Tutoring is "Somewhat Resilient" because AI is genuinely changing parts of the job, but research keeps showing it cannot replace the human connection that makes tutoring actually work. Studies from Khan Academy and Stanford both found that students disengage from AI-only tutoring tools, and the biggest wins come when AI supports a human tutor rather than replacing one.

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Analysis of Current AI Resilience

Tutors

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Tutors jobs?

Right now, AI is showing up in tutoring more as a helper than a full replacement. Routine admin — scheduling, session notes, quiz drafting, and progress reports — is where automation is hitting hardest, while human tutors keep the relationship-driven work. A two-year NBER randomized trial of Khan Academy's Khanmigo tutor in 18 Tennessee middle schools [1] found only modest math gains (roughly 0.06–0.08 standard deviations per year) and concluded the real bottleneck was student engagement, not the AI itself — most students barely messaged the bot even when they had free access.

A Stanford SCALE research brief covered by Education Week [2] reached a similar conclusion: the strongest evidence for effectiveness comes from AI tools built for human tutors to use, not for students working alone with a chatbot. Even so, the money is flowing — Grand View Research values the AI tutors market at $2.7 billion in 2026 and projects it to hit $17.7 billion by 2033 [3] at a 30.5% CAGR.

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AI Adoption

How fast is AI adoption growing for Tutors?

Adoption is moving quickly because the tools are cheap, run 24/7, and plug into platforms tutors already use. A Gallup–Walton Family Foundation survey reported by K-12 Dive [4] found 6 in 10 teachers now use AI for planning, tutoring, and feedback. But three things are slowing full adoption.

First, research keeps showing AI-only tutoring gets weak engagement without a human coach. Second, 82% of teachers in that same survey reported receiving no formal AI guidance, which creates legal, privacy, and ethical gray zones that make schools cautious. Third, professional bodies are moving carefully — the Association for Learning Development in Higher Education is running monthly AI Communities of Practice through late 2026 [5] so tutors can experiment safely instead of rushing.

The takeaway for young people considering tutoring: routine admin will keep automating, but motivating a stuck student, spotting misconceptions, and building trust with families are exactly the things current research shows AI still can't do on its own.

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Will AI replace Tutors?

Will AI replace Tutors?

Not entirely. We think AI will take over some tasks, but not the whole job.

Our 42.7% AI Resilience Score reflects real pressure on this career. The routine side of tutoring, scheduling, quiz drafting, progress reports, and session notes, is already automating fast. AI tutoring tools are a serious business too, with the market projected to grow substantially through the early 2030s [3]. That part of the picture is honest, and anyone entering this field should expect those admin tasks to shrink.

But the core of tutoring is harder to hand off. A two-year study of Khan Academy's AI tutor found only modest learning gains, and the real problem was that students barely used the bot even when it was free [1]. The bottleneck was human engagement, not the technology. Research from Stanford reinforced this: the strongest results come from AI tools built to support human tutors, not replace them [2]. Motivating a frustrated student, earning a family's trust, and catching the misconception a quiz can't surface are still deeply human skills.

The job market for tutors stays steady through 2034, which gives people entering this field real runway. The tutors who will do best are the ones who let AI handle the busywork and focus their energy on the relationship work that actually moves students forward.

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Latest AI news for Tutors

The recommended articles provide valuable insights into how AI is transforming tutoring careers. For instance, SDSU's expansion of AI tools showcases how technology can enhance teaching and support student success, highlighting opportunities for tutors to integrate AI into their methods. Additionally, the rise of startups like Wild Zebra and Medly AI emphasizes the shift toward AI tutors that encourage student independence and personalized learning. These developments suggest that aspiring tutors can thrive by embracing AI, ensuring they remain relevant and effective in a rapidly evolving educational landscape.

More Career Info

Career: Tutors

They help students understand subjects better by explaining concepts, answering questions, and providing practice exercises.

Employment & Wage Data

Median Wage

$43,350

Jobs (2025)

208,400

Growth (2025-35)

-0.2%

Annual Openings

34,200

Education

Some college, no degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

97% ResilienceSupplemental

Travel to students' homes, libraries, or schools to conduct tutoring sessions.

2

85% ResilienceCore Task

Participate in training and development sessions to improve tutoring practices or learn new tutoring techniques.

3

80% ResilienceCore Task

Organize tutoring environment to promote productivity and learning.

4

78% ResilienceCore Task

Collaborate with students, parents, teachers, school administrators, or counselors to determine student needs, develop tutoring plans, or assess student progress.

5

75% ResilienceCore Task

Prepare and facilitate tutoring workshops, collaborative projects, or academic support sessions for small groups of students.

6

72% ResilienceCore Task

Provide private instruction to individual or small groups of students to improve academic performance, improve occupational skills, or prepare for academic or occupational tests.

7

70% ResilienceCore Task

Provide feedback to students, using positive reinforcement techniques to encourage, motivate, or build confidence in students.

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.

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

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The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.