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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Nurse Practitioners are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of a Nurse Practitioner is labeled as "Resilient" because it relies heavily on uniquely human skills like empathy, judgment, and critical thinking, which are essential in providing patient care. AI tools can assist with routine tasks like scheduling and monitoring, but they can't replace the comforting presence and decision-making abilities of a human nurse.
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Learn more about how you can thrive in this position
This role is resilient
The career of a Nurse Practitioner is labeled as "Resilient" because it relies heavily on uniquely human skills like empathy, judgment, and critical thinking, which are essential in providing patient care. AI tools can assist with routine tasks like scheduling and monitoring, but they can't replace the comforting presence and decision-making abilities of a human nurse.
Read full analysisAnalysis of Current AI Resilience
Nurse Practitioners
Updated Quarterly • Last Update: 2/17/2026

Nurse practitioners already see AI helping with some routine tasks. For example, computer systems can now take care of scheduling and reminders, which frees nurses to spend more time with patients [1]. Researchers report AI tools that “automated routine follow-up tasks” allow nursing staff to focus on care instead of paperwork [1].
Some hospitals even use virtual “assistant” programs – one called “Ana” – to call patients, answer common questions, and prepare them for visits [2]. In diagnostics, AI is improving too: advanced software can quickly analyze test data (like monitoring vital signs or scanning images) and alert clinicians to problems [1] [2]. Reviews find that AI sensors and alert systems help nurses spot subtle health issues (fever, heart trouble, etc.) earlier than traditional methods [1].
At the same time, tasks that require human judgment and care – like understanding complex legal rules, making executive decisions, or giving emotional support – are still done by people. In training and education, AI-driven simulations create realistic patient cases so nurses can practice safely [1]. Overall, machines are augmenting nursing work (doing routine busywork) but not replacing the human skills of judgment and empathy that patients rely on.

Using AI tools in nursing is growing, but adoption varies. There are strong reasons to move quickly: the country faces a nurse shortage and heavy workloads, so any time-saving help is welcome. In fact, hospitals report that AI-assisted monitoring and reminders can reduce nurse burnout by handling routine checks [2].
Surveys even show many nurses “welcome” AI that streamlines their work [1]. Also, studies find AI appointment reminders and scheduling tools improve attendance and save staff time [3]. On the other hand, healthcare is heavily regulated and people want personal care.
Clinics must consider cost, training, data privacy and safety. Patients and staff have concerns (for example, a UK study found people trust AI helpers only if they’re accurate and easy to use [3]). Nursing unions and professionals urge caution, warning that AI should not override a nurse’s expertise or “replace caregivers” [2].
In the end, most experts expect AI to be a helpful assistant rather than a boss. Machines may do more of the paperwork and routine checks, but the important human skills – critical thinking, listening, and compassion – will remain the heart of nursing.

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They help patients by diagnosing illnesses, prescribing medications, and providing treatments, working alongside doctors to ensure people get the care they need.
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
AI-generated estimates of task resilience over the next 3 years
Perform routine or annual physical examinations.
Prescribe medications based on efficacy, safety, and cost as legally authorized.
Treat or refer patients for primary care conditions, such as headaches, hypertension, urinary tract infections, upper respiratory infections, and dermatological conditions.
Diagnose or treat chronic health care problems such as high blood pressure and diabetes.
Diagnose or treat complex, unstable, comorbid, episodic, or emergency conditions in collaboration with other health care providers as necessary.
Consult with or refer patients to appropriate specialists when conditions exceed the scope of practice or expertise.
Detect and respond to adverse drug reactions, with special attention to vulnerable populations such as infants, children, pregnant and lactating women, or older adults.
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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