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STRATUSWORKFORCE SCAN

Education and Childcare Administrators, Preschool and Daycare

In short: today's best AI models could do about 41% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 48% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 52% of the time, stays with people.

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Plan, direct, or coordinate academic or nonacademic activities of preschools or childcare centers and programs, including before- and after-school care.

73,660 people do this job in the US. $59,300 a year.

Reviewed on October 1, 2026: what each task is made of, and what handing it over would ask.

A typical 40-hour week

  • AI could take on1 h
  • A person checks AI's work15 h
  • Desk work AI can't do yet3 h
  • Stays with people21 h

Education and Childcare Administrators, Preschool and Daycare, now: of a 40-hour week, AI could take on 1 hours, 15 hours become checking its work, 3 hours are desk work it can't do yet, and 21 hours stay with people.

The largest pieces: Evaluate programs for compliance (about 3 h, a person checks); Plan program offerings and schedules (about 2 h, a person checks); Plan and monitor instruction (about 2 h, a person checks).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
41%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

What the work is made of
  • 45%
  • 4%
  • 3%
  • 43%
  • 6%
4%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 48% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

What handing it over would take, now

The 41% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.

38%

of the working time. The material can be handed to a model and the result handed back.

3%

of the working time. The model has to be connected to the system the work lives in.

, not counted
3%

is conversation short enough by length. This site leaves conversation with people, so it is not in the total.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 6%. Today's estimate: 41%.

0%10%20%30%40%50%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 0% within reachGPT-5, August 2025: 0% within reachGemini 3 Pro, November 2025: 0% within reachClaude Opus 4.5, November 2025: 0% within reachGPT-5.2, December 2025: 1% within reachClaude Opus 4.6, February 2026: 1% within reachClaude Mythos Preview (early), April 2026: 6% within reachToday (estimate), November 2026: 41% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 17 tasks showed up. Within each of Anthropic's methods, never across a change: 0.13% to 0.075% (released February and March 2025); 0.036% to 0.045% (August 2025 to February 2026).

0%0.1%0.2%20252026released February 2025: 0.13%released March 2025: 0.075%the week of Aug 4, 2025: 0.036%the week of Nov 13, 2025: 0.041%the week of Feb 5, 2026: 0.045%April 2026: noneMay 2026: none
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.13%127 of 7087 of 17
Released March 20250.075%201 of 7037 of 17
The week of Aug 4, 20250.036%284 of 6553 of 17
The week of Nov 13, 20250.041%266 of 6727 of 17
The week of Feb 5, 20260.045%262 of 6778 of 17
April 2026nonen/a0 of 17
May 2026nonen/a0 of 17

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 14% of this job's working time as physical work. For 0% of the working time, a robot has been shown doing most of the task somewhere. 0.00 of 3.

  • Not physical 86%
  • No robot shown 14%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

What changes for the people in this job

From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.

What stays with people

50% of the working time: the conversation, in-person and hands-on parts of the tasks.

  • Teach and care for children, the in-person work, 18%
  • Recruit, train and evaluate staff, the in-person work, 10%
  • Direct teachers and administrators, the in-person work, 6%
  • Plan and monitor instruction, the in-person work, 5%
  • Monitor children's progress, the in-person work, 4%
  • Confer with parents and staff, the in-person work, 3%

What becomes checking the machine

46% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 2% is desk work that is small if wrong, which can be handed over with lighter checks.

  • Evaluate programs for compliance, costly if wrong, 7%
  • Plan program offerings and schedules, costly if wrong, 7%
  • Write budget requests and grant proposals, costly if wrong, 6%
  • Plan and monitor instruction, costly if wrong, 5%
  • Keep center records and reports, costly if wrong, 5%
  • Recruit, train and evaluate staff, costly if wrong, 4%

What to learn

  • Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
  • The conversations. About 46% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
  • Briefing a model and checking its drafts. About 45% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
  • Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
  • Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.

Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).

The tasks

Sorted by . 17 tasks from .

Task
Teach classes or courses or provide direct care to children.In the room with the children, teaching and caring for them.Done daily by most who do it. Robots: no robot shown. Anthropic's rating.18%3.3 h50 min to 6.7 hIn person 70%, hands-on 30%Stays with people
Recruit, hire, train, and evaluate primary and supplemental staff and recommend personnel actions for programs and services.Interviews, training and reviews on site, with the write-ups.Done more than monthly by most who do it. 14%1.3 work days3.3 h to 3.1 work daysIn person 70%, documents 30%16%Desk part half by now
Plan, direct, and monitor instructional methods and content of educational, vocational, or student activity programs.Planning the program on paper and seeing it run in the rooms.Done more than monthly by most who do it. AI observed on this task.11%5 h1.7 h to 1.3 work daysDocuments 50%, in person 50%45%Desk part half by now
Direct and coordinate activities of teachers or administrators at daycare centers, schools, public agencies, or institutions.Leading the staff on site, with planning and review behind it.Done daily by most who do it. 11%3.3 h50 min to 6.7 hIn person 60%, documents 40%37%Desk part half by now
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.Reviewing each program against the rules and results, with time in the rooms.Done more than yearly by most who do it. 9%6.7 h3.3 h to 1.7 work daysDocuments 80%, in person 20%74%Desk part half by now
Determine the scope of educational program offerings and prepare drafts of program schedules and descriptions to estimate staffing and facility requirements.Drafting the program's scope, schedules and staffing needs.Done more than monthly by most who do it. 7%6.7 h3.3 h to 1.7 work daysDocuments 100%92%Half by now
Prepare and submit budget requests or grant proposals to solicit program funding.Proposals and budget requests written and submitted.Done more than yearly by most who do it. 6%1 work day3.3 h to 3.1 work daysDocuments 100%61%Half by now
Prepare and maintain attendance, activity, planning, accounting, or personnel reports and records for officials and agencies, or direct preparation and maintenance activities.Attendance, accounting and personnel records kept in the system, with reports written.Done daily by most who do it. 5%2.5 h25 min to 6.7 hSystems 60%, documents 40%79%Half by now
Monitor students' progress and provide students and teachers with assistance in resolving any problems.Watching the rooms and talking with teachers, with progress notes read.Done daily by most who do it. 5%1.3 h25 min to 2.5 hIn person 80%, documents 20%20%Desk part half by now
Confer with parents and staff to discuss educational activities and policies and students' behavioral or learning problems.Conversations with parents at the center and with staff, mostly in person.Done daily by most who do it. 3%50 min25 min to 1.7 hIn person 80%, conversation 20%Stays with people
Write articles, manuals, and other publications and assist in the distribution of promotional literature about programs and facilities.Writing the pieces, with some handing out of the literature.Done more than yearly by most who do it. AI observed on this task.2%3.3 h1.7 h to 6.7 hDocuments 80%, hands-on 20%80%Desk part half by now
Organize and direct committees of specialists, volunteers, and staff to provide technical and advisory assistance for programs.Meetings and calls with specialists, volunteers and staff, with the agendas and notes.Done more than monthly by most who do it. 2%3.3 h50 min to 6.7 hConversation 70%, documents 30%27%Desk part half by now

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025).

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025).

Questions about this job

How much of the work of Education and Childcare Administrators, Preschool and Daycare is within reach of AI now?
An estimated 41% of the working time is within reach of AI models now and 49% by the end of 2028, on METR's long-run pace at four in five (48% to 49% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Education and Childcare Administrators, Preschool and Daycare come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Evaluate programs for compliance (74% of the task's time now, 80% by the end of 2028); Plan program offerings and schedules (92% of the task's time now, 100% by the end of 2028); and Plan and monitor instruction (45% of the task's time now, 50% by the end of 2028).
Which tasks of Education and Childcare Administrators, Preschool and Daycare stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Teach and care for children; and Confer with parents and staff. Together such tasks are about 22% of the working time, and the people and body parts of the other tasks stay with people too.
What should Education and Childcare Administrators, Preschool and Daycare learn as AI takes on more of the work?
By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; the conversations; and briefing a model and checking its drafts. By the end of 2028 on the long-run pace at four in five, about 50% of the working time stays with people, 46% becomes checking a model's work and 2% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
Do people already use AI for the work of Education and Childcare Administrators, Preschool and Daycare?
In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 4%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Education and Childcare Administrators, Preschool and Daycare?
Anthropic's robot exposure rating (September 2026) finds 14% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 0% of the working time. Its index is 0.00 of 3. A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 17 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on October 1, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

This job in your state or metro area
Embed these figures on your site

A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.

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Your own version of this job

The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.

The full personal report is $19, to print or save as a PDF: every task with when it comes within reach, which ones your description names, the parts of your description the task list does not cover, what stays with you, what becomes checking the machine and what to learn.