Nursing Instructors and Teachers, Postsecondary

Prepare and deliver lectures to undergraduate or graduate students on topics such as pharmacology, mental health nursing, and community health care practices.

AI: Fully automatable - By 2025 AI can prepare high‑quality lecture content and deliver it via recorded or interactive virtual modalities (including multimodal explanations and adaptive tutoring) suitable for many undergraduate and graduate topics.

Prepare course materials, such as syllabi, homework assignments, and handouts.

AI: Fully automatable - AI can generate and customize syllabi, assignments, and handouts to professional standards with minimal human editing.

Maintain student attendance records, grades, and other required records.

AI: Fully automatable - Existing LMS and AI tools reliably record attendance, maintain gradebooks, and manage other required records end-to-end.

Compile bibliographies of specialized materials for outside reading assignments.

AI: Fully automatable - AI in 2025 can search literature, select relevant specialized materials, and format accurate bibliographies end‑to‑end for outside reading assignments.

Supervise students' laboratory and clinical work.

AI: Partial - AI can support supervision via simulation monitoring and decision support, but cannot legally or safely replace hands‑on human oversight and real‑time clinical judgment in student lab and clinical settings.

Evaluate and grade students' class work, laboratory and clinic work, assignments, and papers.

AI: Partial - AI can fully auto-grade objective items and provide rubric‑based feedback and draft assessments, but it struggles with holistic, contextual, and interpersonal aspects of grading clinical performance and complex essays without human review.

Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

AI: Partial - AI can continuously ingest and synthesize literature and flag emerging developments, but it cannot replicate the value of direct colleague conversations and in‑person conference networking that inform professional awareness.

Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.

AI: Partial - AI can generate curriculum proposals, map outcomes, and suggest instructional materials and assessments, but cannot fully assume responsibility for accreditation decisions, institutional constraints, and nuanced pedagogical judgment.

Initiate, facilitate, and moderate classroom discussions.

AI: Partial - AI can initiate and moderate online or structured discussions and provide prompts, but cannot fully replicate real-time classroom spontaneity, nonverbal cue reading, and complex socio-emotional moderation.

Supervise undergraduate or graduate teaching, internship, and research work.

AI: Partial - AI can assist with monitoring progress, scheduling, and feedback, but cannot fully replace human judgment, ethical oversight, and hands-on supervision required for teaching, internships, and research.

Advise students on academic and vocational curricula and on career issues.

AI: Partial - AI can provide personalized curriculum and career recommendations and data-driven pathways but lacks authority, institutional nuance, and the relational context often required for high-stakes advising.

Compile, administer, and grade examinations, or assign this work to others.

AI: Partial - AI can compile and administer exams and auto-grade objective items and rubric-based responses, but high-stakes subjective grading and integrity oversight still need humans.

Collaborate with colleagues to address teaching and research issues.

AI: Partial - AI can support collaboration by summarizing literature, drafting proposals, and coordinating tasks, but cannot fully replace human negotiation, trust-building, and shared decision-making.

Assess clinical education needs and patient and client teaching needs using a variety of methods.

AI: Partial - AI can analyze data, surveys, and simulations to identify clinical education and patient teaching needs, yet clinical judgment and context-sensitive assessment still require human experts.

Mentor junior and adjunct faculty members.

AI: Partial - AI can provide mentoring resources, coaching, and simulated feedback, but cannot fully replicate the longitudinal, relational, and institutional advocacy aspects of human mentorship.

Select and obtain materials and supplies, such as textbooks and laboratory equipment.

AI: Partial - AI can research, recommend, compare suppliers, and draft purchase requests but cannot reliably handle final approvals, physical receipt, or nuanced departmental bargaining without human oversight.

Maintain regularly scheduled office hours to advise and assist students.

AI: Partial - AI can schedule office hours, answer routine student questions, and run virtual advising sessions, but cannot fully replace human mentorship, judgment, and official advising responsibilities.

Perform administrative duties, such as serving as department head.

AI: Partial - AI can perform many administrative tasks—budget analysis, scheduling, reporting—but cannot fully assume the leadership, personnel management, and institutional accountability of a department head.

Coordinate training programs with area universities, clinics, hospitals, health agencies, or vocational schools.

AI: Partial - AI can automate scheduling, draft agreements, and coordinate logistics across institutions but cannot fully replace relationship‑building, negotiation, and responsibility for interinstitutional commitments.

Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.

AI: Partial - AI can prepare briefs, analyze policy impacts, and draft proposals for committees, but cannot serve as a voting, accountable committee member or perform human leadership functions.

Participate in student recruitment, registration, and placement activities.

AI: Partial - AI can manage outreach, application screening, communications, and placement matching at scale, yet human judgment and institutional authority remain necessary for final decisions and in‑person recruitment.

Act as advisers to student organizations.

AI: Partial - AI can advise student organizations by providing guidance, resources, and meeting support, but cannot fulfill formal advisor responsibilities that require institutional authority and liability management.

Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.

AI: Partial - AI can assist with literature review, data analysis, and writing but cannot independently design studies, conduct human-subjects research, or take responsibility for novel empirical work.

Write grant proposals to procure external research funding.

AI: Partial - AI can draft persuasive proposals and budgets but requires domain-specific adjustments, institutional compliance, and principal investigator oversight to finalize and submit.

Participate in campus and community events.

AI: Partial - AI can help plan, promote, and even participate virtually in events, but cannot fully replace in‑person presence, community relationship‑building, and representational duties.

Provide professional consulting services to government or industry.

AI: Partial - AI can generate analyses and recommendations but lacks the human accountability, relationship-building, and on-site judgment often required in professional consulting.

Demonstrate patient care in clinical units of hospitals.

AI: Not automatable - AI cannot physically demonstrate patient care in clinical units; it can only offer simulations or instructional materials, not hands-on demonstrations.

Maintain a clinical practice.

AI: Not automatable - Maintaining a clinical practice requires licensed, hands‑on patient care, physical presence, and legal/ethical accountability that AI cannot fulfill.