Share and intensity of work current AI systems can materially affect.
SOC 25-1072
Nursing Instructors and Teachers, Postsecondary AI displacement risk
Nursing schools turn away qualified applicants because they lack clinical instructors. Lecture content is augmentable, but supervising students at actual bedsides — correcting technique, evaluating clinical judgment — requires a practicing clinician's presence.
Likely potential for exposed tasks to move to software after workflow integration.
The faculty shortage caps nursing school enrollment, making this one of the most demand-secure education roles. AI changes lecture preparation and simulation design, not the clinical supervision that accreditation requires.
Distribution
Where Nursing Instructors and Teachers, Postsecondary sits across 620 tracked roles
Displacement pressure 24 — higher than 32% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
29 O*NET task statements matched to SOC 25-1072. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $80,250 (May 2025, US national). The latest BLS row matched SOC 25-1072.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Nursing Instructors and Teachers, Postsecondary
SOC 25-1072 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 24/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Nursing Instructors and Teachers, Postsecondary
The current evidence import matched 29 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks29
SOC25-1072
- Core task / ID 6127
Evaluate and grade students' class work, laboratory and clinic work, assignments, and papers.
- Core task / ID 6126
Supervise students' laboratory and clinical work.
- Core task / ID 6122
Initiate, facilitate, and moderate classroom discussions.
- Core task / ID 6130
Assess clinical education needs and patient and client teaching needs using a variety of methods.
- Core task / ID 6131
Compile, administer, and grade examinations, or assign this work to others.
- Core task / ID 6123
Prepare and deliver lectures to undergraduate or graduate students on topics such as pharmacology, mental health nursing, and community health care practices.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Supervise clinical and laboratory work
Exposure 18, automation 5%, augmentation 36%.
O*NET evidence: Supervise students' laboratory and clinical work. (ID 6126)
Deliver lectures on nursing topics
Exposure 46, automation 20%, augmentation 68%.
O*NET evidence: Prepare and deliver lectures to undergraduate or graduate students on topics such as ph... (ID 6123)
Evaluate clinical and written work
Exposure 44, automation 20%, augmentation 62%.
Prepare course materials
Exposure 66, automation 30%, augmentation 74%.
O*NET evidence: Prepare course materials, such as syllabi, homework assignments, and handouts. (ID 6125)
TaskExposureAutomationAugmentation
Supervise clinical and laboratory work185%36%
Deliver lectures on nursing topics4620%68%
Evaluate clinical and written work4420%62%
Prepare course materials6630%74%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowNursing Program Director
Training horizon: 12-24 months. Skill overlap 66. Wage preservation signal 122.
- Earn a doctoral degree
- Lead accreditation processes
- Manage clinical placement partnerships
role redesign
LowSimulation Lab Coordinator
Training horizon: 2-5 months. Skill overlap 70. Wage preservation signal 100.
- Design simulation scenarios
- Own lab technology
- Measure competency outcomes
Comparison guides
Compare the next move before you commit
12-24 months
Nursing Instructors and Teachers, Postsecondary to Nursing Program Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Nursing Instructors and Teachers, Postsecondary into Nursing Program Director.
2-5 months
Nursing Instructors and Teachers, Postsecondary to Simulation Lab Coordinator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Nursing Instructors and Teachers, Postsecondary into Simulation Lab Coordinator.
What the AI risk score means for Nursing Instructors and Teachers, Postsecondary
The displacement pressure score for Nursing Instructors and Teachers, Postsecondary is 24. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Prepare course materials carries 30% automation pressure, while Prepare course materials carries 74% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $80,250 (May 2025, US national). Employment context: Clinical education role rationing the nursing pipeline. Typical education: Master's or doctoral degree in nursing plus clinical experience.
Wage vulnerability is 36, while transition feasibility is 68. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Faculty shortage caps enrollment
- Clinical supervision requires presence
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Nursing Instructors and Teachers, Postsecondary, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Clinical supervision
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Curriculum design
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Student assessment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Patient care expertise
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Nursing Program Director, such as earn a doctoral degree.
- By 90 days, compare internal openings and external postings for Nursing Program Director or Simulation Lab Coordinator and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Nursing Instructors and Teachers, Postsecondary
Will AI replace Nursing Instructors and Teachers, Postsecondary?
Nursing schools turn away qualified applicants because they lack clinical instructors. Lecture content is augmentable, but supervising students at actual bedsides — correcting technique, evaluating clinical judgment — requires a practicing clinician's presence. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Nursing Instructors and Teachers, Postsecondary work are most exposed to AI?
Prepare course materials and Deliver lectures on nursing topics show the strongest automation pressure in this model. Prepare course materials and Deliver lectures on nursing topics are better treated as AI-augmented work.
What should Nursing Instructors and Teachers, Postsecondary learn next?
Start with Clinical supervision, Curriculum design, Student assessment. The most practical adjacent paths in this model are Nursing Program Director and Simulation Lab Coordinator.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics