Nannies
Overall Exposure
2025 vs 2023
Theoretical Exposure
18What AI could do
Observed Exposure
4What AI actually does
Automation Risk Score
5Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Task Breakdown
About This Occupation
If you work as a Nanny, AI has very limited impact on your caregiving profession. With an automation risk of 5/100 and overall exposure at 9%, this role faces very low transformation. The highest-impact area is assist with homework and educational development at 15% automation. This is classified as an 'augment' role where AI can help with educational activities. BLS projects +18% growth through 2034. Nannies who use AI-powered educational apps and scheduling tools can enhance the quality of childcare they provide.
ISCO-08 classification
Child Care Workers
Definition
ILO original text (English)
Child care workers provide care and supervision for children in residential homes and in before-school, after-school, vacation and day care centres.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET39-9011.00
Childcare Workers
Attend to children at schools, businesses, private households, and childcare institutions. Perform a variety of tasks, such as dressing, feeding, bathing, and overseeing play.
View original - ONET39-9011.01
Nannies
Care for children in private households and provide support and expertise to parents in satisfying children's physical, emotional, intellectual, and social needs. Duties may include meal planning and preparation, laundry and clothing care, organization of play activities and outings, discipline, intellectual stimulation, language activities, and transportation.
View original
Frequently Asked Questions
With an automation risk score of 5%, Nannies has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
Our estimated AI automation risk score for Nannies is 5% for 2025. Estimated overall AI exposure is 9%, with 18% theoretical exposure and 4% observed exposure. The estimated risk trend from 2023 to 2025 is +2 points. All of these are model-generated estimates, not measurements.
The tasks with the highest automation potential for Nannies are: Assist with homework and educational development (15%), Communicate with parents about child progress and needs (10%), Transport children to school and extracurricular activities (8%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.
We estimate a +18% employment change for Nannies between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 9%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Nannies should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.