---
title: "Will AI Replace Tutors? (2026)"
description: "BLS rates tutors' exposure to AI as very high. What that means, which parts of the work AI touches, and the 2025–2035 outlook (-0.2% projected)."
canonical: "https://nuecareer.com/careers/will-ai-replace-tutors"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Tutors? (2026)

**Short answer:** This is one of the most exposed jobs, and BLS projects it to shrink. Exposure is not a forecast of job loss on its own, but here the two point the same way.

The Bureau of Labor Statistics places tutors in its very high AI exposure category, among the occupations most exposed to current AI. BLS projects employment to fall by 0.2% over 2025–2035, against 3.5% for all occupations, with about 34,200 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Very high | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 38/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | -0.2% | BLS EP 2025–2035 |
| Openings a year | 34,200 | BLS EP 2025–2035 |
| Median annual wage | $43,350 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate | 194 |
| High | 190 |
| Very high (this job) | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Face-to-face discussions: 4.8/5 (O\*NET work context)
- Coaching and developing others: 4.5/5 (O\*NET work activity importance)
- Establishing and maintaining interpersonal relationships: 4.6/5 (O\*NET work activity importance)
- Training and teaching others: 4.7/5 (O\*NET work activity importance)

## What AI reaches first

- Time spent sitting: 4.9/5 (O\*NET work context)
- Documenting/recording information: 3.8/5 (O\*NET work activity importance)
- Email: 4.5/5 (O\*NET work context)
- Getting information: 3.9/5 (O\*NET work activity importance)

## O\*NET tasks

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

## Related careers less exposed to AI than tutors

- [Elementary School Teacher](https://nuecareer.com/careers/elementary-school-teacher): BLS exposure High, median $63,970; [Will AI replace elementary school teachers?](https://nuecareer.com/careers/will-ai-replace-elementary-school-teachers)
- [High School Teacher](https://nuecareer.com/careers/high-school-teacher): BLS exposure High, median $72,040; [Will AI replace high school teachers?](https://nuecareer.com/careers/will-ai-replace-high-school-teachers)
- [Middle School Teacher](https://nuecareer.com/careers/middle-school-teacher): BLS exposure High, median $64,370; [Will AI replace middle school teachers?](https://nuecareer.com/careers/will-ai-replace-middle-school-teachers)
- [Special Education Teacher, Secondary School](https://nuecareer.com/careers/special-education-teacher-secondary-school): BLS exposure High, median $74,260; [Will AI replace special education teachers?](https://nuecareer.com/careers/will-ai-replace-special-education-teachers)

## FAQ

**Will AI replace tutors?**

This is one of the most exposed jobs, and BLS projects it to shrink. Exposure is not a forecast of job loss on its own, but here the two point the same way. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to fall by 0.2% over 2025–2035, against 3.5% for all occupations, with about 34,200 openings a year.

**How exposed are tutors to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Tutors are in the very high category, alongside 198 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of a tutor's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are time spent sitting, documenting/recording information and email. The parts that hold up best are face-to-face discussions, coaching and developing others and establishing and maintaining interpersonal relationships. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being a tutor a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, tutors score 38 out of 100, higher than 36% of the occupations we score. The job pays a median of $43,350 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to tutors are less exposed to AI?**

Elementary School Teacher (high exposure, $63,970 median), High School Teacher (high exposure, $72,040 median), Middle School Teacher (high exposure, $64,370 median), Special Education Teacher, Secondary School (high exposure, $74,260 median). Each is in a lower BLS exposure category than tutors, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/tutor.

---

This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology