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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.
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
Tutors are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Tutoring is labeled "Somewhat Resilient" because AI is genuinely changing a significant chunk of the work — things like generating practice problems, giving instant feedback, and scheduling are already being handled by tools like Khanmigo and LearnLM, which means the job is shifting rather than staying the same. The good news is that the human side of tutoring — building trust with a struggling student, keeping them motivated, and knowing when an AI explanation has gone off the rails — is still something AI can't reliably replicate, and research actually shows that leaning too heavily on AI tutors can backfire for students.
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 somewhat resilient
Tutoring is labeled "Somewhat Resilient" because AI is genuinely changing a significant chunk of the work — things like generating practice problems, giving instant feedback, and scheduling are already being handled by tools like Khanmigo and LearnLM, which means the job is shifting rather than staying the same. The good news is that the human side of tutoring — building trust with a struggling student, keeping them motivated, and knowing when an AI explanation has gone off the rails — is still something AI can't reliably replicate, and research actually shows that leaning too heavily on AI tutors can backfire for students.
Read full analysisAnalysis of Current AI Resilience
Tutors
Updated Quarterly • Last Update: 5/14/2026

Tutoring is one of the careers most actively being reshaped by AI right now, but the picture is more "AI working with tutors" than "AI replacing them entirely." At Stanford's National Student Support Accelerator, researchers note that generative AI has the potential to reshape the K-12 tutoring landscape with promises of serving more students at lower cost, and two new randomized controlled trials find that AI embedded in live, chat-based math tutoring can improve student academic outcomes — raising questions about the tradeoffs between cost and the value of personal connections provided by human tutors [1]. Tools like Khanmigo, LearnLM, and "Tutor CoPilot" systems are already handling scheduling, generating practice problems, and giving instant feedback — the more routine parts of the job. Still, the evidence on full replacement is mixed: the Hechinger Report explains that some studies have found that chatbot tutors can backfire because students lean on them too heavily and fail to absorb the material [2], and a University of Cincinnati study found students rated AI chatbot responses highest for helpfulness when blinded to the source, but showed bias against the chatbot when they suspected its involvement [3].
Human tutors are increasingly being augmented — using AI to draft lesson plans and worksheets while focusing their own time on motivation, mentoring, and tricky concepts.

Adoption is moving fast because the economics are appealing and the tools are everywhere. BCG's April 2026 analysis projects that 50% to 55% of jobs in the US will be reshaped by AI over the next two to three years [4], and tutoring sits squarely in that wave. Governments are pouring in money too: the UK government is inviting EdTech companies and AI labs to design classroom-ready AI tutoring tools with the potential to scale and support up to 450,000 pupils a year, with up to 8 companies beginning to test tools in schools under teacher supervision [5].
That kind of public investment, plus the fact that a chatbot costs pennies compared to an hourly tutor, makes adoption attractive for schools and parents on tight budgets. But there are real brakes too. Job-market data from Goldman Sachs shows AI substitution wiped out roughly 25,000 jobs per month in the past year, while augmentation added back about 9,000 [6], which is fueling parent and educator caution.
Concerns about accuracy, privacy, and over-reliance mean schools usually want a trusted adult in the loop — exactly the role tutors are evolving into. The good news for young people considering this career: skills like building relationships, motivating reluctant learners, organizing a productive learning space, and judging when an AI answer is wrong are still very much human strengths, and they're becoming more valuable, not less, as AI handles the routine stuff.

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They help students understand subjects better by explaining concepts, answering questions, and providing practice exercises.
Median Wage
$40,090
Jobs (2024)
215,500
Growth (2024-34)
+0.6%
Annual Openings
37,100
Education
Some college, no degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Identify, develop, or implement intervention strategies, tutoring plans, or individualized education plans (IEPs) for students.
Monitor student performance or assist students in academic environments, such as classrooms, laboratories, or computing centers.
Participate in training and development sessions to improve tutoring practices or learn new tutoring techniques.
Organize tutoring environment to promote productivity and learning.
Prepare and facilitate tutoring workshops, collaborative projects, or academic support sessions for small groups of students.
Administer, proctor, or score academic or diagnostic assessments.
Prepare lesson plans or learning modules for tutoring sessions according to students' needs and goals.
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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