Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Tutors:

43.1%

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 four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. 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 tutors, all seven sources had data and mostly agreed: AI Resilience Model, Anthropic, and Microsoft all rated AI exposure as high, while Will Robots Take My Job landed at medium, nudging confidence to medium-high. Demand and pay signals came in at medium across the board. That pattern of broad but not total agreement lands tutors at "Somewhat Resilient."

AI Resilience Report forTutors

$40,090 median salary37,100 annual openingsSOC Code: 25-3041.00

Tutors are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Tutoring lands in "Somewhat Resilient" because AI is genuinely changing a big chunk of the job, handling things like generating practice problems, giving instant feedback, and scheduling, but it has not replaced the human side of the work. The skills that matter most now are the ones AI still struggles with: building trust with a frustrated student, figuring out why someone keeps making the same mistake, and knowing when an AI-generated explanation is actually wrong.

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This role is somewhat resilient

Tutoring lands in "Somewhat Resilient" because AI is genuinely changing a big chunk of the job, handling things like generating practice problems, giving instant feedback, and scheduling, but it has not replaced the human side of the work. The skills that matter most now are the ones AI still struggles with: building trust with a frustrated student, figuring out why someone keeps making the same mistake, and knowing when an AI-generated explanation is actually wrong.

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Analysis of Current AI Resilience

Tutors

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Tutors jobs?

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.

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AI Adoption

How fast is AI adoption growing for Tutors?

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.

Sources

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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.

Tutoring earns a 43.1% AI Resilience Score, which tells you this career is genuinely being disrupted. AI tools are already handling the routine parts: generating practice problems, giving instant feedback, and scheduling sessions. Researchers at Stanford's National Student Support Accelerator have found that AI embedded in live tutoring can improve student academic outcomes, and the UK government is testing AI tutoring tools with the potential to reach up to 450,000 pupils a year (gov.uk, nssa.stanford.edu). The economics are hard to ignore: a chatbot costs far less than an hourly tutor, so adoption pressure is real.

But full replacement is a different story. Studies show chatbot tutors can backfire when students lean on them too heavily and stop absorbing the material [2]. What AI cannot easily replicate is the human side: building trust with a struggling student, reading frustration in real time, and knowing when to push and when to back off. Those relational skills are becoming more valuable, not less, as AI handles the mechanical parts.

The tutors who will thrive are the ones who learn to work alongside these tools, using AI to prep faster and spending their actual time on motivation, mentoring, and judgment calls that no chatbot gets right every time.

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Latest AI news for Tutors

These articles highlight the evolving role of tutors in a landscape increasingly influenced by AI. For instance, the "AI tutoring outperforms in-class active learning" study shows that AI can enhance educational outcomes, suggesting tutors may need to integrate AI tools to remain effective. Additionally, the UK's initiative to provide AI tutors for disadvantaged children indicates a growing recognition of personalized learning, which tutors can leverage to support their students better. Embracing AI can ensure tutors remain valuable in fostering student success amidst technological advancements.

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

$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

Task-Level AI Resilience Scores

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

1

95% ResilienceSupplemental

Identify, develop, or implement intervention strategies, tutoring plans, or individualized education plans (IEPs) for students.

2

82% ResilienceCore Task

Monitor student performance or assist students in academic environments, such as classrooms, laboratories, or computing centers.

3

80% ResilienceCore Task

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

4

75% ResilienceCore Task

Organize tutoring environment to promote productivity and learning.

5

65% ResilienceCore Task

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

6

58% ResilienceSupplemental

Administer, proctor, or score academic or diagnostic assessments.

7

55% ResilienceCore Task

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.

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

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