Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They care for children by playing with them, preparing meals, and ensuring their safety while parents are away.
This role is stable
A career as a nanny is considered "Stable" because many of the essential tasks still need a human touch, like teaching safety, providing comfort, and managing emotions. While some gadgets can help with specific tasks, such as monitoring sleep or teaching through apps, they can't replace the love, ethics, and quick responses that human nannies provide.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is stable
A career as a nanny is considered "Stable" because many of the essential tasks still need a human touch, like teaching safety, providing comfort, and managing emotions. While some gadgets can help with specific tasks, such as monitoring sleep or teaching through apps, they can't replace the love, ethics, and quick responses that human nannies provide.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Nannies
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Nanny work is very hands-on, so today only a few parts are being automated. For example, smart baby monitors now use AI to watch a child’s sleep and even warn a remote nurse when a baby fusses [1]. Some educational robots and apps can tell stories, sing songs or teach healthy habits, so children get extra practice with reading or vitamins [2].
But many tasks stay human. Official guides list duties like teaching safety (watching street crossings), doing first aid, and helping kids eat and sleep on schedule [3]. These require judgment and care that AI can’t fully give.
In fact, one analysis finds nanny jobs have only about a 20–25% chance of being automated [4] – meaning most of what nannies do resists robots. As Wired magazine notes, companies tend to sell “robot nannies” more like toys or cameras (with big warnings “use only with adult supervision”) rather than true caregivers [5] [2]. In short, some gadgets (smart monitors, interactive toys) can help with feeding or play, but core care – cuddling, teaching values and safety, solving tantrums – still needs a human touch [5] [3].

AI in the real world
Big changes in childcare won’t happen overnight. Robots and AI tools for parents exist, but homes and laws haven’t fully accepted them. On one hand, busy families may like new gadgets.
A study even suggests working (dual-income) parents might be eager to try robot helpers for things like play or learning when they lack time [2]. Some kids seem to enjoy talking to Alexa or robot playmates, and Wired even points out children might find robots appealing because “robots are very predictable…[and] will not lose their temper” [5]. On the other hand, real robots that do a nanny’s full job are still expensive and unproven.
Nannies typically earn only about $14–15 an hour [4], so buying high-tech gadgets costs much more than hiring a person. There are also big safety and trust worries: experts warn that a robot alone isn’t the same as a loving adult [5] [5]. Laws and parents would demand strict proof these machines are safe.
For now, families tend to use AI as helpers – like baby cam apps or learning toys – rather than replacing nannies. Over time, better tech might be added slowly, but most agree that human skills (love, ethics and quick response) will keep nannies in the loop [5] [4].

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Median Wage
$32,050
Jobs (2024)
991,600
Growth (2024-34)
-2.9%
Annual Openings
160,200
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Work with parents to develop and implement discipline programs to promote desirable child behavior.
Perform first aid or cardiopulmonary resuscitation (CPR) when required.
Model appropriate social behaviors and encourage concern for others to cultivate development of interpersonal relationships and communication skills.
Help develop or monitor family schedule.
Transport children to schools, social outings, and medical appointments.
Meet regularly with parents to discuss children's activities and development.
Assign appropriate chores and praise targeted behaviors to encourage development of self-control, self-confidence, and responsibility.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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