BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

53.4%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Pediatricians, General

They help children stay healthy by checking their growth, diagnosing illnesses, and providing treatments to keep them well.

Summary

The career of a pediatrician is considered "Stable" because AI mainly acts as a helpful tool rather than a replacement. While AI can assist with tasks like listening to heartbeats or predicting health risks, the core duties, such as providing comfort and making complex decisions, rely on human skills.

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Summary

The career of a pediatrician is considered "Stable" because AI mainly acts as a helpful tool rather than a replacement. While AI can assist with tasks like listening to heartbeats or predicting health risks, the core duties, such as providing comfort and making complex decisions, rely on human skills.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Stable iconStable

83.5%

83.5%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

53.5%

53.5%

Anthropic's Economic Index

Evolving iconEvolving

38.8%

38.8%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

92.4%

92.4%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

0.8%

Growth Percentile:

30.9%

Annual Openings:

1.2

Annual Openings Pct:

14.1%

Analysis of Current AI Resilience

Pediatricians, General

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Right now, AI mostly helps pediatricians with some tasks, rather than doing the whole job. For example, voice-recognition software is already used to take doctors’ notes during an exam [1]. AI-powered tools can help in diagnostics — special digital stethoscopes can listen to a child’s heartbeat and flag unusual murmurs [1].

Some systems can even measure a child’s “bone age” from an image or screen a baby’s eyes for disease [1]. In hospitals, AI-driven monitors watch vital signs and can warn doctors early if a child might get very sick (for example, predicting severe infection in ICU) [2]. Researchers also use AI to spot health risks; for instance, smart models can predict which children may become obese by looking at diet and activity patterns [2].

However, most core pediatric tasks still rely on human doctors. A review of many health apps found almost no AI actually automating a doctor’s work in children’s exams [2]. Computers don’t have empathy – they can’t comfort a frightened child or build trust with parents [2].

In fact, experts say it’s important to leave the caring parts to people and use AI only as a helper [2] [2]. Right now, if a doctor is deciding whether to send a kid to a specialist or how to change a treatment plan, that still needs real-world judgment. AI might show patterns or make suggestions, but the pediatrician makes the call.

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AI Adoption

AI Adoption

There is interest in bringing AI tools into pediatrics, but adoption is cautious. Some hospitals and clinics are excited by AI’s potential to save time and reach more patients. For example, voice-to-text programs and smart scribes can reduce paperwork, and some leaders hope this frees up doctors to focus on patients [2].

In areas with few specialists, AI-based screening (like telemedicine or decision-support) could help give basic care to distant communities [3].

On the other hand, doctors and health systems face barriers. AI technology can be expensive to install and maintain, requiring new computers and training. A survey found that while many healthcare managers plan to use AI, most also admit their staff need more training to use it [4].

Older hospital software and strict privacy rules can slow things down too. For example, one report notes high costs and data compatibility as big challenges for AI in healthcare [3].

Finally, there are ethical and trust issues. Medicine is highly regulated, and people expect a doctor (not just a machine) to explain decisions. Especially with children’s data, privacy and fairness matter a lot.

Parents still trust a caring pediatrician more than a cold algorithm [2]. Overall, experts agree AI will most likely stay a tool to assist pediatricians, not replace them [3] [2]. The human touch – listening, reassuring, and making judgment calls – remains essential in child healthcare.

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Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

85% ResilienceCore Task

Treat children who have minor illnesses, acute and chronic health problems, and growth and development concerns.

2

85% ResilienceSupplemental

Operate on patients to remove, repair, or improve functioning of diseased or injured body parts and systems.

3

75% ResilienceCore Task

Examine children regularly to assess their growth and development.

4

75% ResilienceCore Task

Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury in infants and children.

5

75% ResilienceCore Task

Explain procedures and discuss test results or prescribed treatments with patients and parents or guardians.

6

75% ResilienceCore Task

Plan and execute medical care programs to aid in the mental and physical growth and development of children and adolescents.

7

65% ResilienceCore Task

Examine patients or order, perform, and interpret diagnostic tests to obtain information on medical condition and determine diagnosis.

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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