Will AI replace Tutors?
On paper, AI could touch ~54% of the work in Tutors — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 25-3041
How your 16 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~54%). By late 2025, real-world AI use had caught up to about 41% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~54%) and its real-world use (~41%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 16 tasks, ratedBased on real task-level AI scores — click to collapse
- Participate in training and development sessions to improve tutoring practices or learn new tutoring techniques.
- Maintain records of students' assessment results, progress, feedback, or school performance, ensuring confidentiality of all records.
- Develop teaching or training materials, such as handouts, study materials, or quizzes.
- Provide feedback to students, using positive reinforcement techniques to encourage, motivate, or build confidence in students.
- Review class material with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments.
- Assess students' progress throughout tutoring sessions.
- Teach students study skills, note-taking skills, and test-taking strategies.
- Provide private instruction to individual or small groups of students to improve academic performance, improve occupational skills, or prepare for academic or occupational tests.
- Collaborate with students, parents, teachers, school administrators, or counselors to determine student needs, develop tutoring plans, or assess student progress.
- Monitor student performance or assist students in academic environments, such as classrooms, laboratories, or computing centers.
- Schedule tutoring appointments with students or their parents.
- Communicate students' progress to students, parents, or teachers in written progress reports, in person, by phone, or by email.
- Identify, develop, or implement intervention strategies, tutoring plans, or individualized education plans (IEPs) for students.
- Prepare and facilitate tutoring workshops, collaborative projects, or academic support sessions for small groups of students.
- Prepare lesson plans or learning modules for tutoring sessions according to students' needs and goals.
- Organize tutoring environment to promote productivity and learning.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.