Task-level reachability by current AI systems.
AI displacement risk in Education jobs
Compare task exposure, automation potential, augmentation potential, and transition pressure across this work family. Category scores average the current published occupation sample.
Estimated potential for task transfer to software.
Estimated potential for AI to expand worker output while keeping human accountability.
Distribution
How Education roles spread across the pressure scale
Each bar counts published education roles in a 5-point displacement-pressure band. Red bars mark scores of 70 or higher. The dashed line marks the category median of 28.
How AI is changing Education work
Education jobs do not move as one block. Some tasks are exposed to automation because they are routine, language-heavy, rules-based, or easy to route through software. Other tasks become more valuable because they require trust, physical context, judgment, coaching, compliance, or accountable decisions.
In the current displacement.ai sample, average exposure is 46, average automation pressure is 22%, and average augmentation potential is 60%. The highest displacement pressure in this category is Library Technicians, while the most resilient published role is Special Education Teachers. Use those contrasts to decide whether the better move is redesigning the current job, moving into supervision, or building a bridge to an adjacent occupation.
Occupation pages
Compare AI risk across Education roles
Each page below includes task-level exposure, automation and augmentation scores, wage context, transition pathways, upskilling priorities, and a 90-day planning outline.
SOC 25-2021
Low Elementary School Teachers
Lesson prep, differentiated materials, and feedback loops are augmentable. Classroom management, care, student relationships, and local accountability remain central.
- Exposure
- 22
- Automation
- 10%
- Augment
- 52%
SOC 25-3041
Moderate Tutors
AI tutoring apps now answer questions, generate practice problems, and explain concepts on demand, competing directly with routine homework help. Motivation, accountability, diagnosis of misconceptions, and parent trust keep human tutors relevant.
- Exposure
- 52
- Automation
- 26%
- Augment
- 60%
SOC 25-1123
Moderate Teachers, Postsecondary
Lecture drafting, quiz generation, and grading assistance are strongly AI-augmentable. Mentorship, research supervision, seminar facilitation, and scholarly judgment remain the core of professor work, though AI is changing course design expectations.
- Exposure
- 54
- Automation
- 22%
- Augment
- 66%
SOC 25-9042
Moderate Teaching Assistants
Grading support, material preparation, and record keeping are augmentable with AI tools. Supervising students, one-on-one support for children with special needs, and classroom presence remain hands-on work that schools continue to hire for.
- Exposure
- 48
- Automation
- 24%
- Augment
- 52%
SOC 25-9031
Moderate Instructional Coordinators
AI course generation accelerates lesson drafts, assessment items, and material adaptation. Needs assessment, teacher coaching, curriculum standards alignment, and measuring what actually improves learning keep instructional design human-led.
- Exposure
- 58
- Automation
- 30%
- Augment
- 68%
SOC 25-4022
Moderate Librarians and Media Collections Specialists
Search and retrieval — once the heart of reference work — is exactly what AI now does instantly. Collection curation, information literacy instruction, community programming, and guidance on evaluating AI-era information quality keep librarians relevant.
- Exposure
- 56
- Automation
- 32%
- Augment
- 58%
SOC 13-1151
Moderate Training and Development Specialists
Course materials, manuals, and e-learning drafts are now generated in hours instead of weeks. Needs assessment, live facilitation, behavior change design, and measuring whether training actually works keep learning specialists valuable.
- Exposure
- 60
- Automation
- 32%
- Augment
- 66%
SOC 25-2011
Low Preschool Teachers
Teaching three- and four-year-olds is developmental, physical, and relational: managing feelings, guiding play, and spotting delays. AI can draft lesson ideas, but attachment, safety, and hands-on early learning happen between a teacher and a child.
- Exposure
- 26
- Automation
- 8%
- Augment
- 40%
SOC 25-2022
Low Middle School Teachers
Lesson prep, differentiated materials, and grading are heavily AI-augmentable. What defines middle school teaching is managing adolescents through their most volatile developmental years — classroom culture, motivation, and mentorship that no tool delivers.
- Exposure
- 34
- Automation
- 12%
- Augment
- 58%
SOC 25-2031
Low High School Teachers
AI writes serviceable lesson plans, practice sets, and essay feedback, transforming preparation and grading for subject-specialist teachers. Deep content knowledge, AP and dual-enrollment rigor, college-prep mentorship, and classroom culture remain the human core.
- Exposure
- 40
- Automation
- 14%
- Augment
- 62%
SOC 25-2056
Low Special Education Teachers
Individualized education programs, behavioral intervention, and one-on-one instruction for students with disabilities are legally mandated, relationship-intensive work. AI helps draft IEP documentation, but the specialized teaching and legal accountability stay human.
- Exposure
- 26
- Automation
- 8%
- Augment
- 44%
SOC 21-1012
Low Educational, Guidance, and Career Counselors
Career quizzes, college list building, and schedule planning are increasingly AI-assisted. Crisis intervention, abuse identification, mental health support, and the trusted-adult relationship for struggling students remain deeply human work.
- Exposure
- 38
- Automation
- 14%
- Augment
- 54%
SOC 19-3034
Low School Psychologists
Scoring tests and drafting reports are heavily AI-assistable, but administering assessments, observing children, designing IEP evaluations, and advising on crisis situations are licensed clinical-educational work with legal accountability.
- Exposure
- 44
- Automation
- 18%
- Augment
- 60%
SOC 11-9032
Low Education Administrators, Kindergarten through Secondary
Scheduling, report generation, and performance dashboards automate much of a principal's information work. Instructional leadership, teacher evaluation, discipline judgment, parent trust, and accountability for a school's outcomes keep the role deeply human.
- Exposure
- 42
- Automation
- 18%
- Augment
- 60%
SOC 25-4031
Moderate Library Technicians
Circulation, cataloging support, and routine reference inquiries are increasingly handled by self-checkout and AI search. Helping patrons with technology, running children's programs, and maintaining equipment keep library technicians useful.
- Exposure
- 68
- Automation
- 48%
- Augment
- 44%
SOC 25-3011
Moderate Adult Basic Education and ESL Instructors
AI language apps offer free, unlimited conversation practice, competing directly with basic language drills. Classroom facilitation, literacy instruction for low-skill adults, cultural bridge-building, and workforce preparation keep human instructors necessary.
- Exposure
- 52
- Automation
- 24%
- Augment
- 60%
SOC 25-2032
Low Career and Technical Education Teachers, Secondary
As AI pushes students toward hands-on careers, the teachers who instruct welding, healthcare, culinary, and IT pathways become more strategic, not less. Shop and lab instruction, safety supervision, and industry placement are irreducibly physical and relational.
- Exposure
- 34
- Automation
- 12%
- Augment
- 56%
SOC 25-2012
Low Kindergarten Teachers
Kindergarten teaching is licensed instruction wrapped in childcare: phonics lessons share the day with tying shoes and managing tears. AI can draft lesson materials, but five-year-olds need a physically present, licensed adult — the job's core is untouchable.
- Exposure
- 28
- Automation
- 9%
- Augment
- 46%
SOC 25-3031
Low Substitute Teachers, Short-Term
Substitute teaching is physical classroom coverage on short notice: attendance, behavior management, and keeping a room of students safe and on-task. Districts cannot staff these pools today; no software supervises a classroom.
- Exposure
- 30
- Automation
- 12%
- Augment
- 42%
SOC 25-3021
Moderate Self-Enrichment Teachers
Online platforms and AI-generated courses compete directly with generic enrichment content. Live classes — pottery, dance, cooking, language circles — sell presence, feedback, and community, which pre-recorded or generated content does not deliver.
- Exposure
- 46
- Automation
- 22%
- Augment
- 58%
SOC 25-4011
Moderate Archivists
AI classification and OCR automate description and digitization workflows that used to consume archivist hours. Provenance judgment, appraisal of what to keep, authentication, and access policy keep the profession's judgment layer intact.
- Exposure
- 62
- Automation
- 38%
- Augment
- 60%
SOC 25-4012
Moderate Curators
AI cataloging and image recognition accelerate collection documentation and research. Exhibition design, acquisition judgment, authentication, and the public storytelling of a museum keep curatorial work scholarly and human-led.
- Exposure
- 48
- Automation
- 24%
- Augment
- 62%
SOC 25-9043
Low Teaching Assistants, Special Education
Supporting students with disabilities means one-on-one presence: behavior support, mobility assistance, daily-living instruction, and implementing IEP accommodations. No software provides the patient, physical, relational support these students need.
- Exposure
- 22
- Automation
- 7%
- Augment
- 38%
SOC 25-1072
Low Nursing Instructors and Teachers, Postsecondary
Nursing schools turn away qualified applicants because they lack clinical instructors. Lecture content is augmentable, but supervising students at actual bedsides — correcting technique, evaluating clinical judgment — requires a practicing clinician's presence.
- Exposure
- 42
- Automation
- 18%
- Augment
- 62%
SOC 25-1071
Low Health Specialties Teachers, Postsecondary
Teaching future clinicians blends current practice with instruction: lectures and grading augment easily with AI, while laboratory supervision, clinical precepting, and modeling professional judgment for students remain practitioner work.
- Exposure
- 46
- Automation
- 20%
- Augment
- 64%
SOC 25-1112
Moderate Law Teachers, Postsecondary
Law professors teach a profession AI is actively disrupting — which makes their subject matter more relevant, not less. Research drafting assists scholarship; Socratic classroom discussion, mentorship, and evaluation of legal reasoning stay human.
- Exposure
- 54
- Automation
- 24%
- Augment
- 68%
SOC 11-9031
Low Education and Childcare Administrators, Preschool and Daycare
Running a childcare center means licensing compliance, staff management in a high-turnover field, parent trust, and daily operational fires. AI helps with enrollment paperwork and curriculum resources; the center's accountability sits with a person.
- Exposure
- 42
- Automation
- 18%
- Augment
- 56%
SOC 11-9033
Moderate Education Administrators, Postsecondary
Enrollment analytics, scheduling optimization, and reporting are increasingly automated. Strategic planning, accreditation defense, faculty governance, and setting the institution's own AI-use policies keep administrators in judgment-heavy territory.
- Exposure
- 52
- Automation
- 24%
- Augment
- 64%
SOC 25-1021
Moderate Computer Science Teachers, Postsecondary
CS faculty teach programming while AI writes code, and grade assignments while AI completes them — the sharpest version of the education paradox. Curriculum judgment, research supervision, and teaching students to evaluate AI output keep the role central.
- Exposure
- 56
- Automation
- 26%
- Augment
- 72%
SOC 25-1121
Low Art, Drama, and Music Teachers, Postsecondary
Generative tools can produce student-quality art, scripts, and compositions, forcing studio faculty to redefine what they assess. Technique demonstration, live critique, performance direction, and mentorship of developing artists remain human teaching work.
- Exposure
- 48
- Automation
- 22%
- Augment
- 66%
SOC 25-1011
Moderate Business Teachers, Postsecondary
Business faculty teach finance, marketing, and operations while employers demand graduates who can manage AI tools, forcing the fastest curriculum redesign in the university. Case-method discussion, practitioner networks, and research credibility keep faculty central; lecture-drafting and grading compress first.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-1022
Moderate Mathematical Science Teachers, Postsecondary
Mathematics faculty teach linear algebra and differential equations while AI solves the problem sets instantly. That forces assessment redesign, from oral exams to in-class derivation and AI-critical assignments, while the conceptual teaching and research supervision that define the role stay human.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-1032
Low Engineering Teachers, Postsecondary
Engineering faculty lecture, run laboratories, supervise design projects, and write grants. AI handles problem-set solutions and drafts documentation, but accredited programs require hands-on lab instruction and supervised capstone work: physical verification of what students actually built.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-1054
Low Physics Teachers, Postsecondary
Physics faculty teach quantum mechanics and optics while AI solves textbook problems and drafts lab reports. Laboratory supervision exposes what students actually understand, and research at the frontier, where training data runs out, keeps the discipline's human core intact.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-1066
Moderate Psychology Teachers, Postsecondary
Psychology faculty teach abnormal psychology and cognitive processes while running research programs on human behavior, including how humans interact with AI. Statistical tooling automates analysis, but study design, research ethics, and methods training are the discipline's defensible core.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-1063
Moderate Economics Teachers, Postsecondary
Economics faculty teach econometrics and price theory while ML forecasting tools commoditize routine prediction. That shifts teaching toward causal identification, model critique, and data judgment: the parts of economics where automated forecasts fail most visibly.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-1125
Moderate History Teachers, Postsecondary
History faculty teach students to interrogate sources while AI summarizes those sources instantly and confidently. That makes the discipline's core skill, detecting bias, provenance, and omission, more valuable to teach, even as lecture content itself becomes cheap to generate.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-1122
Moderate Communications Teachers, Postsecondary
Communications faculty teach public speaking, media criticism, and journalism-adjacent skills while the media industry their students enter is being rebuilt around AI content. That overlap makes the curriculum urgent: students need verification, audience judgment, and performance skills that generated content cannot supply.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-1111
Low Criminal Justice and Law Enforcement Teachers, Postsecondary
Criminal justice faculty teach criminal law, policing, and investigation techniques to students headed for agencies and courts. AI drafting tools compress lecture prep and grading, but the field's practitioner pipeline, from scenario training to legal procedure to agency partnerships, keeps instruction grounded in practice.
- Exposure
- 52
- Automation
- 26%
- Augment
- 69%
SOC 25-4013
Low Museum Technicians and Conservators
Museum technicians and conservators install, repair, and preserve artifacts: cleaning textiles, fabricating missing parts, and preparing objects for exhibition and shipping. Digitization and AI cataloging transform collection records, but conservation is irreversible handwork on irreplaceable objects.
- Exposure
- 40
- Automation
- 18%
- Augment
- 52%
SOC 25-1042
Low Biological Science Teachers, Postsecondary
Biology faculty teach molecular biology and botany while running research programs. AI tools now design experiments and annotate genomes, but the teaching laboratory — pipettes, cultures, dissections — is supervised physical instruction, and research at the bench still runs on trained hands.
- Exposure
- 50
- Automation
- 24%
- Augment
- 68%
SOC 25-1052
Low Chemistry Teachers, Postsecondary
Chemistry faculty teach organic and analytical chemistry while supervising laboratories full of hazardous materials. AI solves textbook problems and drafts lab reports, but teaching students to handle chemicals safely — and catching the mistake before it becomes an incident — is in-person accountability.
- Exposure
- 50
- Automation
- 24%
- Augment
- 68%
SOC 25-1124
Moderate Foreign Language and Literature Teachers, Postsecondary
Foreign language faculty teach speaking, writing, and literature while machine translation handles casual fluency. That pressures enrollment in basic sequences — the honest headwind — while shifting the discipline's value toward cultural expertise, literature, and the advanced proficiency machines fumble.
- Exposure
- 54
- Automation
- 27%
- Augment
- 68%
SOC 25-1194
Low Career and Technical Education Teachers, Postsecondary
Career and technical education teachers train students in welding, healthcare, culinary, and other occupational skills. Their enrollment strengthens as students seek AI-resilient careers — the same disruption that pressures lecture disciplines pushes learners toward hands-on programs with equipment and employer pipelines.
- Exposure
- 44
- Automation
- 21%
- Augment
- 62%
SOC 25-9044
Moderate Teaching Assistants, Postsecondary
Graduate teaching assistants lead discussion sections, run labs, and grade mountains of undergraduate work. AI grading and feedback tools target exactly the grading portion — the most compressible part of the assistantship — while leading a live section and mentoring students stays human.
- Exposure
- 56
- Automation
- 30%
- Augment
- 60%
What to do next
- Open the occupation page closest to your current work and review the task profile.
- Compare the top two transition pathways and choose the one that preserves the most wage and skill overlap.
- Use the calculator to adjust location, salary target, training runway, strengths, and move style.
- Save or share the plan before starting a course, portfolio project, or internal career conversation.
Which Education jobs are most exposed to AI?
In this category, Library Technicians currently has the highest displacement-pressure score in the published sample. Review the role page to see whether the risk comes from language work, routine information handling, reporting, customer interaction, or another task pattern.
Does a high category score mean every job is unsafe?
No. Category averages hide important differences between tasks and roles. Use the occupation pages to compare automation pressure, augmentation potential, wage vulnerability, and transition feasibility before deciding on a move.