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AI Automation Index
Will AI Replace Education and Childcare Administrators, Preschool and Daycare?
Task-level automation exposure for Education and Childcare Administrators, Preschool and Daycare: 17 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
53%
weighted task index
17 of 17 tasks scored
Median Salary
$59,300 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
73,660 people hold this job — size, not growth
Projected 2025–35
-3.1%
employment change
5,200 openings a year · BLS line item
Pay by state
BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$33,030 – $96,810
Highest medians
New York $96,810
New Jersey $78,770
District of Columbia $77,850
Alaska $75,540
Washington $70,470
Lowest medians
Guam $33,030
Alabama $41,780
Kentucky $44,530
Arkansas $44,990
West Virginia $45,660
State figures come from the 11-9031 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 53%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 84%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 12%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 38/100
Moderate
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 27%
5 tasks
Medium exposure (≥ 35%) 61%
10 tasks
Low exposure (below 35%) 12%
2 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#5198 · Core · 52% automatable
Recruit, hire, train, and evaluate primary and supplemental staff and recommend personnel actions for programs and services.
decision support — Performance review aided; accountability and context human
Evaluate employee performance. Conduct employee training programs. Recruit personnel.
#5193 · Core · 55% automatable
Confer with parents and staff to discuss educational activities and policies and students' behavioral or learning problems.
interpersonal — Personal development advice needs human relationship
Advise others on career or personal development.
#5204 · Core · 50% automatable
Teach classes or courses or provide direct care to children.
interpersonal — Course content AI-assisted; live teaching and assessment human
Teach classes in area of specialization.
#5197 · Core · 43% automatable
Determine allocations of funds for staff, supplies, materials, and equipment and authorize purchases.
decision support — AI tracks and models budgets; human owns allocation decisions
Approve expenditures. Manage organizational or project budgets.
#5199 · Core · 30% automatable
Direct and coordinate activities of teachers or administrators at daycare centers, schools, public agencies, or institutions.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#5196 · Core · 55% automatable
Monitor students' progress and provide students and teachers with assistance in resolving any problems.
data analysis — AI analyzes performance metrics; human judges people context
Monitor performance of organizational members or partners.
#5202 · Core · 57% automatable
Determine the scope of educational program offerings and prepare drafts of program schedules and descriptions to estimate staffing and facility requirements.
data analysis — Labor estimates depend on context and human calibration
Estimate labor requirements. Determine resource needs.
#5203 · Core · 66% automatable
Review and evaluate new and current programs to determine their efficiency, effectiveness, and compliance with state, local, and federal regulations and recommend any necessary modifications.
data analysis — Program metrics analysis, human owns conclusions
Determine operational compliance with regulations or standards. Evaluate program effectiveness. Advise others on business or operational matters.
#5194 · Core · 64% automatable
Prepare and maintain attendance, activity, planning, accounting, or personnel reports and records for officials and agencies, or direct preparation and maintenance activities.
data analysis — Maintain operational records in structured systems
Maintain operational records. Maintain regulatory or compliance documentation. Direct organizational operations, projects, or services.
#5201 · Core · 56% automatable
Review and interpret government codes and develop procedures to meet codes and to ensure facility safety, security, and maintenance.
decision support — AI drafts strategies; human owns operational judgment
Develop safety standards, policies, or procedures. Develop operating strategies, plans, or procedures.
#5195 · Core · 56% automatable
Set educational standards and goals and help establish policies, procedures, and programs to carry them out.
text generation — Drafts goals and policies; stakeholder consensus and authority human
Develop educational goals, standards, policies, or procedures. Develop organizational policies or programs.
#5205 · Core · 67% automatable
Prepare and submit budget requests or grant proposals to solicit program funding.
data analysis — Reports and budgets drafted; human owns assumptions
Prepare financial documents, reports, or budgets. Prepare proposals or grant applications to obtain project funding.
#5200 · Core · 35% automatable
Plan, direct, and monitor instructional methods and content of educational, vocational, or student activity programs.
interpersonal — Directing organizational operations carries accountability
Direct organizational operations, projects, or services.
#5207 · Core · 72% automatable
Collect and analyze survey data, regulatory information, and demographic and employment trends to forecast enrollment patterns and the need for curriculum changes.
data analysis — Forecast analysis for decisions; human decides
Analyze forecasting data to improve business decisions.
#5209 · Core · 30% automatable
Organize and direct committees of specialists, volunteers, and staff to provide technical and advisory assistance for programs.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#5206 · Core · 72% automatable
Write articles, manuals, and other publications and assist in the distribution of promotional literature about programs and facilities.
text generation — Promotional copy and graphics largely AI; human approves
Develop promotional materials.
#5208 · Core · 50% automatable
Inform businesses, community groups, and governmental agencies about educational needs, available programs, and program policies.
text generation — Drafting agency communications aided; relationships human
Present information to the public. Communicate with government agencies.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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