Occupation · SOC 11-9031.00
Plan, direct, or coordinate academic or nonacademic activities of preschools or childcare centers and programs, including before- and after-school care.
Also called: Education Director · Preschool Director · Principal · Site Coordinator · Childcare Director · Early Head Start Director · Education Coordinator · Education Site Manager · Preschool Program Director · After School Site Director · Art Coordinator · Assessment Coordinator
Job family: Management Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-9031-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
60th-percentile task overlap — yet about 5,500 openings a year (-2.5% projected, BLS), and observed AI use leans 4103% copilot, not hand-off (AEI) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 68th | 0.8 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 75th | 0.9 | |
| AI assistant applicability (Microsoft) Moderate | 41st | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 11th percentile among occupations · Low
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Write articles, manuals, and other publications and assist in the distribution of promotional literature about programs and facilities. | 2.7% | |
| Prepare and submit budget requests or grant proposals to solicit program funding. | 1.6% | |
| Inform businesses, community groups, and governmental agencies about educational needs, available programs, and program policies. | 1.5% | |
| Collect and analyze survey data, regulatory information, and demographic and employment trends to forecast enrollment patterns and the need for curriculum changes. | 0.7% | |
| Prepare and maintain attendance, activity, planning, accounting, or personnel reports and records for officials and agencies, or direct preparation and maintenance activities. | 0.5% | |
| Determine allocations of funds for staff, supplies, materials, and equipment and authorize purchases. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -2.5% by 2034 |
| Projected annual openings | 5,500 |
| Employment 2024 → 2034 | 90,200 → 87,900 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Child Care Service Managers · 1341 | 30% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 41.0% working with AI · 42.3% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 64.1% |
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Inform businesses, community groups, and governmental agencies about educational needs, available programs, and program policies. | Directive | 1.6% |
| Write articles, manuals, and other publications and assist in the distribution of promotional literature about programs and facilities. | Iteration | 0.9% |
| Monitor students' progress and provide students and teachers with assistance in resolving any problems. | Iteration | 0.4% |
| Collect and analyze survey data, regulatory information, and demographic and employment trends to forecast enrollment patterns and the need for curriculum changes. | Directive | 0.3% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Write articles, manuals, and other publications and assist in the distribution of promotional literature about programs and facilities. | 100.0% | |
| Inform businesses, community groups, and governmental agencies about educational needs, available programs, and program policies. | 98.8% | |
| Monitor students' progress and provide students and teachers with assistance in resolving any problems. | 97.6% | |
| Collect and analyze survey data, regulatory information, and demographic and employment trends to forecast enrollment patterns and the need for curriculum changes. | 90.9% |
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
Help me inform businesses, community groups, and governmental agencies about educational needs, available programs, and program policies. From: Inform businesses, community groups, and governmental agencies about educational needs, available programs, and program policies. · 1.6% of measured AI use · directive
Help me write articles, manuals, and other publications and assist in the distribution of promotional literature about programs and facilities. From: Write articles, manuals, and other publications and assist in the distribution of promotional literature about programs and facilities. · 0.9% of measured AI use · task iteration
Help me monitor students' progress and provide students and teachers with assistance in resolving any problems. From: Monitor students' progress and provide students and teachers with assistance in resolving any problems. · 0.4% of measured AI use · task iteration
Help me collect and analyze survey data, regulatory information, and demographic and employment trends to forecast enrollment patterns and the need for curriculum changes. From: Collect and analyze survey data, regulatory information, and demographic and employment trends to forecast enrollment patterns and the need for curriculum changes. · 0.3% of measured AI use · directive
All 17 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Written Expression | 4.1 | |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Problem Sensitivity | 3.9 | |
| Inductive Reasoning | 3.9 | |
| Speech Recognition | 3.9 | |
| Speech Clarity | 3.9 | |
| Information Ordering | 3.8 | |
| Near Vision | 3.5 | |
| Fluency of Ideas | 3.4 |
| Reading Comprehension | 4.0 | |
| Active Listening | 4.0 | |
| Speaking | 4.0 | |
| Critical Thinking | 4.0 | |
| Monitoring | 4.0 | |
| Writing | 3.8 | |
| Learning Strategies | 3.6 | |
| Active Learning | 3.5 |
| Coordination | 4.0 | |
| Social Perceptiveness | 3.9 | |
| Instructing | 3.9 | |
| Service Orientation | 3.9 | |
| Complex Problem Solving | 3.9 | |
| Judgment and Decision Making | 3.9 | |
| Time Management | 3.8 | |
| Management of Personnel Resources | 3.8 | |
| Negotiation | 3.6 | |
| Persuasion | 3.4 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Education . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| High School Diploma | 25.6% | |
| Some College Courses | 19.7% | |
| Bachelor's Degree | 10.3% | |
| Post-Secondary Certificate | 6.2% | |
| Post-Baccalaureate Certificate | 6.0% | |
| Master's Degree | 0.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 9.0 | |
| Integrity | 8.0 | |
| Cooperation | 7.0 | |
| Social Orientation | 6.0 | |
| Self-Control | 5.0 | |
| Empathy | 4.0 |
| Social | 6.5 | |
| Enterprising | 4.8 | |
| Conventional | 4.5 |
| Management/Administration | 6.3 | |
| Social Service | 5.5 | |
| Professional Advising | 5.0 | |
| Teaching/Education | 4.6 | |
| Human Resources | 4.5 | |
| Public Speaking | 3.8 | |
| Personal Service | 3.5 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $37,060 |
| 25th percentile | $45,310 |
| Median (50th) | $56,270 |
| 75th percentile | $72,690 |
| 90th percentile | $96,400 |
| People employed | 71,620 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 61,760 | $54,670 |
| Educational Services · Sector | 5,610 | $72,720 |
| Other Services (except Public Administration) · Sector | 2,530 | $59,740 |
| Management of Companies and Enterprises · Sector | 770 | $80,050 |
| Arts, Entertainment, and Recreation · Sector | 240 | $56,500 |
| Services for the Elderly and Persons with Disabilities · National industry | 210 | $73,360 |
| Fitness and Recreational Sports Centers · National industry | 160 | $59,070 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 50 | $61,930 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 40 | $50,010 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 40 | $94,280 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Health Care and Social Assistance · Sector | 5.75× | 61,760 |
| Other Services (except Public Administration) · Sector | 1.23× | 2,530 |
| Educational Services · Sector | 0.89× | 5,610 |
| Management of Companies and Enterprises · Sector | 0.59× | 770 |
| Fitness and Recreational Sports Centers · National industry | 0.55× | 160 |
| Arts, Entertainment, and Recreation · Sector | 0.2× | 240 |
| Services for the Elderly and Persons with Disabilities · National industry | 0.19× | 210 |
Part of the Education and Healthcare & Human Services career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Education and Childcare Administrators, Preschool and Daycare — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 56th percentile of 427 international occupations.
Education and Childcare Administrators, Preschool and Daycare show 60th-percentile AI task overlap — and about 5,500 annual U.S. openings
Education and Childcare Administrators, Preschool and Daycare show 60th-percentile AI task overlap — and about 5,500 annual U.S. openings • Education and Childcare Administrators, Preschool and Daycare rank in the 60th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 5,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be declining (-2.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $56,270, across about 71,620 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 41% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Education and Childcare Administrators, Preschool and Daycare". https://singulariki.com/roles/role-11-9031-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Education and Childcare Administrators, Preschool and Daycare." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-9031-00
Singulariki. (2026). Education and Childcare Administrators, Preschool and Daycare. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-9031-00
@misc{singulariki-role-11-9031-00,
title = {Education and Childcare Administrators, Preschool and Daycare},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-9031-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.