Tutors

With an automation risk score of 30%, Tutors has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

Our estimated AI automation risk score for Tutors is 30% for 2025. Estimated overall AI exposure is 38%, with 54% theoretical exposure and 21% observed exposure. The estimated risk trend from 2023 to 2025 is +10 points. All of these are model-generated estimates, not measurements.

The tasks with the highest automation potential for Tutors are: Explain subject concepts and solve problems (65%), Create personalized study plans and exercises (58%), Assess understanding and provide corrective feedback (50%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.

We estimate a +3% employment change for Tutors between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 38%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Tutors should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.