Will AI replace Nursing Instructors and Teachers, Postsecondary?

AI can do 61% of the work Nursing Instructors and Teachers, Postsecondary do at least twice as fast. People already use it for 9 of their 29 tasks, while 11 more are ready but barely used so far. 9 still need a person.

AI is already doing this9 · 28% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Evaluate and grade students' class work, laboratory and clinic work, assignments, and papers.Mostly automated11% of time
  • Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.Mostly assisted3% of time
  • Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.Mostly automated3% of time
  • Compile, administer, and grade examinations, or assign this work to others.Mostly automated3% of time
  • Advise students on academic and vocational curricula and on career issues.Mostly automated3% of time
  • Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.Mostly automated2% of time
  • Participate in student recruitment, registration, and placement activities.Mostly automated1% of time
  • Provide professional consulting services to government or industry.Mostly assisted1% of time
  • Compile bibliographies of specialized materials for outside reading assignments.Mostly automatedunder 1% of time

AI could do this next11 · 33% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Prepare course materials, such as syllabi, homework assignments, and handouts.7% of time
  • Demonstrate patient care in clinical units of hospitals.5% of time
  • Maintain regularly scheduled office hours to advise and assist students.4% of time
  • Collaborate with colleagues to address teaching and research issues.3% of time
  • Maintain student attendance records, grades, and other required records.3% of time
  • Assess clinical education needs and patient and client teaching needs using a variety of methods.2% of time
  • Coordinate training programs with area universities, clinics, hospitals, health agencies, or vocational schools.2% of time
  • Perform administrative duties, such as serving as department head.2% of time
  • Select and obtain materials and supplies, such as textbooks and laboratory equipment.1% of time
  • Write grant proposals to procure external research funding.1% of time
  • Conduct faculty performance evaluations.1% of time

Still needs a person9 · 39% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Supervise students' laboratory and clinical work.15% of time
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as pharmacology, mental health nursing, and community health care practices.11% of time
  • Initiate, facilitate, and moderate classroom discussions.4% of time
  • Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.3% of time
  • Maintain a clinical practice.2% of time
  • Supervise undergraduate or graduate teaching, internship, and research work.1% of time
  • Participate in campus and community events.1% of time
  • Act as advisers to student organizations.1% of time
  • Mentor junior and adjunct faculty members.1% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 23 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.

What to do next

  • Do the 9 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 11 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 9 tasks that stay human. This is where your judgment, skill and relationships matter most.
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