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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: 5/19/2026
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%).
Med
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
Nursing Instructors and Teachers, Postsecondary are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Nursing instructors are "Mostly Resilient" because the heart of their job — hands-on clinical teaching, mentoring students through tough ethical decisions, and modeling the compassionate care that nursing demands — simply can't be replicated by AI. That said, AI is already stepping in to handle time-consuming prep work like drafting test questions, summarizing readings, and even simulating patient interactions for student practice, which means some parts of the job are genuinely shifting.
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 mostly resilient
Nursing instructors are "Mostly Resilient" because the heart of their job — hands-on clinical teaching, mentoring students through tough ethical decisions, and modeling the compassionate care that nursing demands — simply can't be replicated by AI. That said, AI is already stepping in to handle time-consuming prep work like drafting test questions, summarizing readings, and even simulating patient interactions for student practice, which means some parts of the job are genuinely shifting.
Read full analysisAnalysis of Current AI Resilience
Nursing Instructor, Postsec
Updated Quarterly • Last Update: 5/14/2026

If you're thinking about teaching nursing one day, here's some good news: AI is mostly showing up as a helper for instructors, not a replacement. Real nursing teachers are already experimenting with it in creative ways. For example, one nursing professor at UNC Charlotte built an AI "patient" using ChatGPT so students could practice interviews and health assessments, noting that the AI responds just like a real patient would, offering nuanced answers that reflect symptoms, emotions, and even psychosocial concerns, and after each interaction provides individualized feedback on the student's performance.
A February 2026 bibliometric review of 430 studies confirmed this trend is global, finding that the prospects of AI within nursing education are especially promising, as it presents avenues for enhancing the preparation of forthcoming nursing practitioners, with simulation as a top trending application. The National League for Nursing's 2025 vision statement on AI [1] and AACN's AI in Nursing Education initiative [2] both frame AI as a tool to support faculty — not replace them — especially for lower-stakes tasks like drafting test questions, summarizing readings, and answering routine student questions. The truly human parts of the job — bedside clinical demonstrations, mentoring new faculty, and grading complex care-plan judgment — remain firmly in instructor hands.

Adoption will likely move fast in nursing schools because of a major workforce problem. According to AACN's faculty shortage fact sheet [2], U.S. nursing schools turned away 80,162 qualified applications from baccalaureate and graduate nursing programs in 2024 due to an insufficient number of faculty, clinical sites, classroom space, clinical preceptors, and budget constraints, and a 2025 AACN survey identified 1,588 full-time faculty vacancies with a national vacancy rate of 7.2%. With so few instructors stretched thin, schools have strong reasons to use AI to handle prep work.
Congress is even weighing the Nurse Faculty Shortage Reduction Act of 2026 [3], and tools are getting cheaper — OpenAI launched ChatGPT for Clinicians on April 23, 2026, giving verified U.S. nurse practitioners free AI tools for documentation, research, and clinical workflows. But adoption also faces real brakes. A January 2026 Brookings Institution report [4] warns that if generative AI is not used well in education, it has the potential to increase student disengagement, reduce critical thinking, expand inequities, and undermine learner resilience and agency.
Because nurses literally hold patients' lives in their hands, faculty are rightly cautious — meaning AI will likely augment the job, freeing up time for the mentoring, clinical coaching, and ethical judgment that make great nurse educators irreplaceable.

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They teach nursing students how to care for patients and prepare them for careers in healthcare by sharing their knowledge and skills.
Median Wage
$79,940
Jobs (2024)
91,600
Growth (2024-34)
+16.8%
Annual Openings
8,600
Education
Doctoral or professional degree
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
Demonstrate patient care in clinical units of hospitals.
Mentor junior and adjunct faculty members.
Evaluate and grade students' class work, laboratory and clinic work, assignments, and papers.
Perform administrative duties such as serving as department head.
Coordinate training programs with area universities, clinics, hospitals, health agencies, or vocational schools.
Provide professional consulting services to government or industry.
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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