Medium AI Risk Slow Growth

Tutors

SOC Code: 25-3041

Tutors carries a 26% AI exposure score (Medium automation risk), with a median annual wage of $40,090 and +0.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 215,500 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
26% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+0.6%
2024–2034 (BLS)
+1,300 jobs
Median Annual Wage
$40,090
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

215,500
Employment 2024
216,800
Projected 2034
+0.6%
Change (%)
+1,300
Change (jobs)

Occupation Insight

Tutors (SOC 25-3041) carries an AI exposure score of 26%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 215,500 workers in this occupation in 2024, and projects a +0.6% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $40,090, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Some college, no degree, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Tutors. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Some college, no degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Provide feedback to students, using positive reinforcement techniques to encourage, motivate, or build confidence in students.
  2. 2. Review class material with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments.
  3. 3. Assess students' progress throughout tutoring sessions.
  4. 4. Teach students study skills, note-taking skills, and test-taking strategies.
  5. 5. Provide private instruction to individual or small groups of students to improve academic performance, improve occupational skills, or prepare for academic or occupational tests.
  6. 6. Participate in training and development sessions to improve tutoring practices or learn new tutoring techniques.
  7. 7. Collaborate with students, parents, teachers, school administrators, or counselors to determine student needs, develop tutoring plans, or assess student progress.
  8. 8. Monitor student performance or assist students in academic environments, such as classrooms, laboratories, or computing centers.
  9. 9. Schedule tutoring appointments with students or their parents.
  10. 10. Organize tutoring environment to promote productivity and learning.

Key Skills Required

  • Reading Comprehension
  • Instructing
  • Active Listening
  • Speaking
  • Learning Strategies
  • Critical Thinking
  • Social Perceptiveness
  • Writing
  • Active Learning
  • Complex Problem Solving

Knowledge Areas

  • Customer and Personal Service
  • English Language
  • Education and Training
  • Mathematics
  • Computers and Electronics
  • Psychology
  • Administrative
  • Chemistry
  • Sociology and Anthropology
  • Biology

Frequently Asked Questions

Will AI replace Tutors?

Tutors has an AI exposure score of 26%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Tutors?

According to BLS Employment Projections 2024-2034, Tutors is projected to grow by 0.6% over the decade. Current employment stands at approximately 215,500 workers.

What skills are needed for Tutors?

Key skills for Tutors include Reading Comprehension, Instructing, Active Listening, and others. Typical entry-level education is Some college, no degree.

How much do Tutors earn?

The median annual wage for Tutors is $40,090, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Tutors?

The typical entry-level education for Tutors is Some college, no degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Tutors?

Tutors roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.3
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial