BETA
Updated: Feb 6
BETA
Updated: Feb 6
Evolving
Last Update: 11/21/2025
Your role’s AI Resilience Score is
66.8%
Median Score
Changing Fast
Evolving
Stable
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
Nurse Practitioners
They help patients by diagnosing illnesses, prescribing medications, and providing treatments, working alongside doctors to ensure people get the care they need.
Summary
The career of a Nurse Practitioner is labeled as "Evolving" because AI is starting to assist with routine tasks like scheduling appointments and checking prescriptions, which can save time and reduce workload. However, the core parts of their job, like talking with patients, making diagnoses, and providing compassionate care, still require a human touch that AI can't replace.
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View analysisChat with CoachLatest newsMore career infoSummary
The career of a Nurse Practitioner is labeled as "Evolving" because AI is starting to assist with routine tasks like scheduling appointments and checking prescriptions, which can save time and reduce workload. However, the core parts of their job, like talking with patients, making diagnoses, and providing compassionate care, still require a human touch that AI can't replace.
Read full analysisContributing 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
Evolving66.7%
66.7%
Microsoft's Working with AI
AI Applicability
Evolving52.3%
52.3%
Anthropic's Economic Index
AI Resilience
Changing fast21.1%
21.1%
Will Robots Take My Job
Automation Resilience
Stable95.9%
95.9%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
40.1%
Growth Percentile:
99.7%
Annual Openings:
29.5
Annual Openings Pct:
74.4%
Analysis of Current AI Resilience
Nurse Practitioners
Updated Quarterly • Last Update: 11/21/2025
State of Automation & Augmentation
Some parts of an NP’s job are seeing new computer helpers, especially for routine work. For example, clinics are starting to use AI “chatbots” or online tools to book and remind patients about appointments [1]. These can set up follow-ups automatically, though staff usually check them.
Likewise, many NPs use electronic records that help with prescribing. Computerized order entry systems will auto-fill common drugs, check for allergies, and alert providers if something is wrong [1]. Researchers are even testing AI programs to fine-tune drug choices and doses for each person [1].
These tools look promising in studies, but they are still experimental and under careful review by doctors and NPs. In short, software often helps with scheduling and checking medicines, but a nurse practitioner still must review and approve every prescription.
By contrast, tasks that need judgment or keeping up rules are not automated today. For instance, there’s no replacement for an NP learning new Medicare rules or updating safety policies. AI tools for these jobs don’t really exist in practice.
Nursing experts note that computerized decision tools specifically made for nurses are still very new and rare [2]. Likewise, managing a team or coordinating patient care remains a human task. In general, studies find only about one-third of clinical tasks (like data entry or routine checks) are technically automatable [3].
Most NP work – talking with patients, making diagnoses, writing policies – still needs a caring person. Automation today augments (helps) with simple, repetitive parts of the job, but does not replace the NP’s biological brain and compassion.
Sources
AI Adoption
Whether clinics rush to use AI depends on many things. Big health systems have the money to buy new software and may invest in AI tools to save time and cut costs [3]. Also, with nurse and doctor shortages, some hospitals try AI as a helper for overworked staff [4].
If an AI system can do scheduling or paperwork faster, it could let nurses spend more time with patients. However, new tech is expensive and must connect to patient records, so small clinics may move slowly. NPs earn good salaries, so clinics weigh whether buying AI is cheaper than paying people.
If the math doesn’t add up, adoption will stay slow.
Social and legal issues also matter. Many nurses say they like AI if it clearly helps patients. In a recent survey, quite a few nurse practitioners viewed AI as a tool to support care [1].
They said good training and clear rules are important. But nurses also worry. Surveys find big concerns about privacy, safety and losing the human touch [1].
Nursing unions have warned against simply replacing nurses with bots, fearing harm to patients [4]. Laws today require a licensed human to prescribe medicine and oversee treatment, so machines can’t take over those roles. About half of tasks – those needing empathy, creativity or judgement – resist automation [3].
In short, AI is coming into NP work mainly for background tasks: booking, reminders, or double-checking data. Tools like better EHR alerts and smart chatbots are already available. But real-world adoption will take time.
Costly integration, strict patient-safety rules, and trust issues mean NPs will use AI slowly and carefully. The hopeful news is that AI can take on boring chores so NPs have more time for patients. Every expert agrees that caring skills, critical thinking and human connection remain irreplaceable – at least for now [1] [2].
With thoughtful use, AI could help NPs work smarter without losing the human touch.
Sources
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More Career Info
Career: Nurse Practitioners
Parent Careers
Employment & Wage Data
Median Wage
$129,210
Jobs (2024)
320,400
Growth (2024-34)
+40.1%
Annual Openings
29,500
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Supervise or coordinate patient care or support staff activities.
2
Educate patients about self-management of acute or chronic illnesses, tailoring instructions to patients' individual circumstances.
3
Counsel patients about drug regimens and possible side effects or interactions with other substances such as food supplements, over-the-counter (OTC) medications, or herbal remedies.
4
Analyze and interpret patients' histories, symptoms, physical findings, or diagnostic information to develop appropriate diagnoses.
5
Diagnose or treat acute health care problems such as illnesses, infections, or injuries.
6
Diagnose or treat complex, unstable, comorbid, episodic, or emergency conditions in collaboration with other health care providers as necessary.
7
Consult with or refer patients to appropriate specialists when conditions exceed the scope of practice or expertise.
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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