Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Tutors:
42.7%
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.
Low
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%).
Med
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
AI Resilience Report forTutors
$43,350 median salary•34,200 annual openings•SOC 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.
Learn more about how you can thrive in this position
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.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Tutors
Updated Quarterly

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.
Sources

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.
Sources

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.
Sources

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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.

SDSU expands AI tools to support teaching, tutoring, student success
www.sdstate.edu • 8/19/2026
Learn more about SDSU expands AI tools to support teaching, tutoring, student success at South Dakota State University in Brookings, SD.

Medly AI grabs $8M to build an AI tutor for exam prep. Here’s the pitch deck behind the raise
techfundingnews.com • 8/19/2026
Medly AI has raised $8M in seed funding led by Felix Capital to expand its AI tutoring platform and make personalised exam preparation more...

Medly AI raises $8M to bring AI-powered tutoring to more students
tech.eu • 8/19/2026
With new funding, Medly AI will expand its AI-powered exam preparation platform, develop additional tutoring capabilities and grow its...

This startup just raised $6M for an AI tutor that helps kids figure it out themselves
www.geekwire.com • 8/6/2026
Wild Zebra raised $6 million to expand an AI learning platform for math and reading that asks students questions rather than just giving...

What the research shows about generative AI in tutoring
www.brookings.edu • 1/27/2026
Mary Burns unpacks the evidence of generative AI in tutoring and how it should work alongside human tutors for success.
More Career Info
Career: Tutors
They help students understand subjects better by explaining concepts, answering questions, and providing practice exercises.
Parent Careers
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
Travel to students' homes, libraries, or schools to conduct tutoring sessions.
2
Participate in training and development sessions to improve tutoring practices or learn new tutoring techniques.
3
Organize tutoring environment to promote productivity and learning.
4
Collaborate with students, parents, teachers, school administrators, or counselors to determine student needs, develop tutoring plans, or assess student progress.
5
Prepare and facilitate tutoring workshops, collaborative projects, or academic support sessions for small groups of students.
6
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
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.
