BETA
Updated: Mar 2
BETA
Updated: Mar 2
Evolving
Last Update: 2/17/2026
Your role’s AI Resilience Score is
69.1%
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
Health Specialties Teachers, Postsecondary
They teach college students about different health topics like medicine and nursing, helping them learn the skills needed for healthcare jobs.
This role is evolving
This career is labeled as "Evolving" because AI is starting to take over some routine teaching tasks, like grading and answering basic student questions. While these tools can help free up time for professors, the core elements of the job – such as personal mentoring, making complex decisions, and providing empathetic guidance – still require human skills.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
This career is labeled as "Evolving" because AI is starting to take over some routine teaching tasks, like grading and answering basic student questions. While these tools can help free up time for professors, the core elements of the job – such as personal mentoring, making complex decisions, and providing empathetic guidance – still require human skills.
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
Stable86.2%
86.2%
Microsoft's Working with AI
AI Applicability
Changing fast11.2%
11.2%
Anthropic's Economic Index
AI Resilience
Evolving50.5%
50.5%
Will Robots Take My Job
Automation Resilience
Stable98.6%
98.6%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
17.3%
Growth Percentile:
98.0%
Annual Openings:
27,400
Annual Openings Pct:
73.7%
Analysis of Current AI Resilience
Health Specialties Teacher
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Today, AI tools are beginning to handle some teaching tasks, but most work still relies on people. For student advising, for example, chatbots and “AI tutor” programs can answer basic questions at any hour [1] [1]. They give students instant, judgment-free feedback, which supplements a professor’s office hours.
However, experts note these bots lack real insight or empathy [1], so they help rather than replace human mentors.
Grading is another area where AI shows promise. Studies describe “hands-free” grading once an AI system is set up [2]. Platforms like Canvas now let teachers build AI chatbots to assist with quizzes and assignments [1].
In practice, though, most professors use such tools only sparingly. A recent report found only a few educators actually let chatbots grade student work and many still feel grading should stay human-driven [1]. Other duties – like recruiting students or picking textbooks – need personal judgment and so far see little AI support.
In short, AI is starting to help with routine parts of teaching (giving faster answers or draft feedback), but human skills (expertise, conversation, mentoring) remain central.
Sources
AI in the real world
Whether colleges adopt these AI tools quickly or slowly depends on many factors. The technology itself is ready now: ChatGPT and other AI systems (even built into learning platforms) are easily available [1] [1]. That makes it easy for schools to experiment.
But schools often cite cost and logistics as barriers. One survey found only about 20% of universities had tried any AI tools beyond a pilot, mainly because of limited budgets and tech support [3]. Professors also worry about fairness and privacy – for example, many insist that grading is too important to fully leave to a machine [1] [3].
Socially and ethically, education values personal connection: experts note bots can’t replace a caring teacher’s guidance [1].
Even so, AI can free teachers from tedious tasks. If grading or routine quizzes are automated, professors gain time to focus on students [2] [1]. In the end, most schools will likely adopt AI step-by-step – using it where it clearly helps (like drafting quizzes or summarizing readings) – while still keeping teachers in the lead.
Sources
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More Career Info
Career: Health Specialties Teachers, Postsecondary
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Employment & Wage Data
Median Wage
$105,620
Jobs (2024)
289,600
Growth (2024-34)
+17.3%
Annual Openings
27,400
Education
Doctoral or professional degree
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Collaborate with colleagues to address teaching and research issues.
2
Select and obtain materials and supplies such as textbooks and laboratory equipment.
3
Write grant proposals to procure external research funding.
4
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
5
Participate in student recruitment, registration, and placement activities.
6
Participate in campus and community events.
7
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
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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