As of July 2026, Childcare Workers has an AI-exposure score of 40/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Childcare Workers

40/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 9% of the roles we track. Median pay ~US$34,980. About 160,200 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Attend to children at schools, businesses, private households, and childcare institutions. Perform a variety of tasks, such as dressing, feeding, bathing, and overseeing play.

Common titles
Child Care WorkerChildcare ProviderInfant TeacherToddler TeacherCaregiverChild Caregiver
O*NET job-zone preparation
Job Zone 2 · Some Preparation Needed These occupations usually require a high school diploma. Some previous work-related skill, knowledge, or experience is usually needed.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
MonitoringService OrientationSocial PerceptivenessCoordinationCritical ThinkingSpeaking
Tools and technology
Microsoft Office softwareMicrosoft WordEducational softwareGoogle ClassroomNearpodScheduling software
Work context
Frequent contact with othersFace-to-face discussionsIndoor controlled settingDecision latitudeExternal customers

Source: O*NET 29.1 exact occupation - Childcare Workers, SOC 39-9011.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Childcare Workers tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as durable (75%).

Augmentable
  • Keep records on individual children, including daily observations and information about activities, meals served, and medications administered.
  • Observe and monitor children's play activities.
3 more augmentable tasks locked in the report.
Durable
  • Assist in preparing food and serving meals and refreshments to children.
  • Organize and participate in recreational activities and outings, such as games and field trips.
13 more durable tasks locked in the report.

We analyzed all 20 Childcare Workers tasks - 5 augmentable and 15 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Preschool Teachers, Except Special Education
80% skills overlap; 3 points lower - similar exposure within the 5-point model resolution; Low band; ~US$38,140
View path
37
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Keep records on individual children, including daily observations and information about activities, meals served, and medications administered.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Childcare Workers - median pay by US state (BLS OEWS, USD)

California: US$40,020New York: US$37,590Texas: US$28,570

Median annual wage, in USD. US national: US$34,980. More states are being added.

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