Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They help students understand subjects better by explaining concepts, answering questions, and providing practice exercises.
This role is evolving
The career of tutoring is labeled as "Evolving" because many routine tasks, like scheduling sessions and creating quizzes, are now handled by AI and software, making these parts of the job less needed. AI-powered tools can also help students practice and review material, offering similar learning results to real tutors.
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 evolving
The career of tutoring is labeled as "Evolving" because many routine tasks, like scheduling sessions and creating quizzes, are now handled by AI and software, making these parts of the job less needed. AI-powered tools can also help students practice and review material, offering similar learning results to real tutors.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Tutors
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Many routine admin tasks in tutoring are already done by software. For example, tutors can use online scheduling apps and calendars to let students book or cancel sessions automatically [1]. This means tutors rarely spend a lot of time on the phone arranging appointments.
Likewise, student grades and notes are kept in digital gradebooks or classroom software, which automatically records scores and progress [2]. For prep work, new AI tools can even generate lesson ideas. One example is a classroom tool that can instantly create quizzes, slides or lesson-plan outlines from a prompt [3].
That helps tutors save planning time. Importantly, tutors still choose and adapt the material – AI just gives them a head start.
When it comes to teaching itself, technology can help but not replace people. AI-powered tutors (like those used in smart learning apps) can quiz students and explain problems. Research shows these systems can help students learn as much as real tutors [4].
In one recent study, college students actually learned more in less time with an AI tutor than from their normal class lesson [5]. This sounds big, but remember: AI can handle practice and review, while human tutors bring motivation, encouragement and empathy that technology still can’t match. In short, computers are taking on more of the paperwork and drills, but personal attention remains a human skill.

AI in the real world
AI tools for education are becoming widely available and often inexpensive. Today there are “dozens and dozens” of apps that help with teaching and learning [3]. This easy access makes schools and tutoring centers curious about using AI.
Money matters too: hiring tutors costs about $17–$20 per hour on average [6]. Using free or low-cost AI chatbots and software could save some money on routine tasks. On the other hand, good tutoring also relies on trust.
Schools must protect student privacy and make sure any AI is fair and reliable. Because of this, adoption is careful and slow in some places.
In summary, many “mechanical” parts of a tutor’s job – like scheduling or making quizzes – are already done by machines. That makes a tutor’s life easier, not obsolete. The human side of tutoring (understanding a student’s feelings, adapting to them, inspiring confidence) is still very much needed.
Experts say we shouldn’t fear AI; instead we can use it as a helpful assistant. It frees tutors to spend more time helping students one-on-one, which is something only a warm, caring person can really do [4] [5].

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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.
Travel to students' homes, libraries, or schools to conduct tutoring sessions.
Prepare lesson plans or learning modules for tutoring sessions according to students' needs and goals.
Participate in training and development sessions to improve tutoring practices or learn new tutoring techniques.
Provide private instruction to individual or small groups of students to improve academic performance, improve occupational skills, or prepare for academic or occupational tests.
Provide feedback to students using positive reinforcement techniques to encourage, motivate, or build confidence in students.
Prepare and facilitate tutoring workshops, collaborative projects, or academic support sessions for small groups of 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.

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