Tutors

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

No strongly automatable task in the current data release.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Organize tutoring environment to promote productivity and learning.51
• Maintain records of students' assessment results, progress, feedback, or school performance, ensuring confidentiality of all records.46
• Schedule tutoring appointments with students or their parents.44

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Collaborate with students, parents, teachers, school administrators, or counselors to determine student needs, develop tutoring plans, or assess student progress.9
• Teach students study skills, note-taking skills, and test-taking strategies.11
• Identify, develop, or implement intervention strategies, tutoring plans, or individualized education plans (IEPs) for students.18

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 30 puts Tutors in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 19 analyzed tasks lean automatable, 6 augmentable, and 13 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $43,350median wage
• 175,070employed
• 37,100annual openings
• +0.6%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Secondary School Teachers, Except Special and Career/Technical Education 33
• Teaching Assistants, Preschool, Elementary, Middle, and Secondary School, Except Special Education 32
• Middle School Teachers, Except Special and Career/Technical Education 32
• Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors 31
• Elementary School Teachers, Except Special Education 26
• Teaching Assistants, Postsecondary 31

FAQ — Tutors

What does a score of 30 mean for a Tutors?

It means that, weighted across the 19 tasks we analyzed for this role, the task mix sits at 30 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Collaborate with students, parents, teachers, school administrators, or counselors to determine student needs, develop tutoring plans, or assess student progress; Teach students study skills, note-taking skills, and test-taking strategies; Identify, develop, or implement intervention strategies, tutoring plans, or individualized education plans (IEPs) for students. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.