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 shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They help patients by diagnosing illnesses, prescribing medications, and providing treatments, working alongside doctors to ensure people get the care they need.
This role is evolving
The career of a nurse practitioner is labeled as "Evolving" because AI is increasingly being used to handle routine tasks like scheduling, reminders, and monitoring patient data. This allows nurses to focus more on patient care and use their judgment and empathy, which machines can't replace.
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 evolving
The career of a nurse practitioner is labeled as "Evolving" because AI is increasingly being used to handle routine tasks like scheduling, reminders, and monitoring patient data. This allows nurses to focus more on patient care and use their judgment and empathy, which machines can't replace.
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
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
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
High Demand
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
Nurse Practitioners
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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.

AI in the real world
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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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
Provide patients or caregivers with assistance in locating health care resources.
Maintain departmental policies and procedures in areas such as safety and infection control.
Perform routine or annual physical examinations.
Maintain current knowledge of state legal regulations for nurse practitioner practice including reimbursement of services.
Educate patients about self-management of acute or chronic illnesses, tailoring instructions to patients' individual circumstances.
Develop treatment plans based on scientific rationale, standards of care, and professional practice guidelines.
Keep abreast of regulatory processes and payer systems such as Medicare, Medicaid, managed care, and private sources.
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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