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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%).
Med
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
Biological Science Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Biological Science Teachers are "Somewhat Resilient" because while AI is genuinely changing big parts of this job, the most important pieces — mentoring students, running labs, sparking curiosity, and guiding real scientific thinking — are things AI simply can't replace. The routine stuff, like grading, attendance, and generating practice questions, is already being handed off to AI tools, and students are increasingly turning to chatbots for help instead of office hours, which means professors have to rethink how they teach and assess.
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 somewhat resilient
Biological Science Teachers are "Somewhat Resilient" because while AI is genuinely changing big parts of this job, the most important pieces — mentoring students, running labs, sparking curiosity, and guiding real scientific thinking — are things AI simply can't replace. The routine stuff, like grading, attendance, and generating practice questions, is already being handed off to AI tools, and students are increasingly turning to chatbots for help instead of office hours, which means professors have to rethink how they teach and assess.
Read full analysisAnalysis of Current AI Resilience
Postsecondary Biology Teacher
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting — not replacing — postsecondary biology teachers, though the line is getting blurry. A recent review in the Journal of Biological Education found that biology educators are increasingly using AI chatbots, intelligent tutoring systems, and image-recognition tools to design lessons, generate practice problems, and give students 24/7 study help [1]. On the student side, NPR reports that undergraduates routinely turn to Gemini and ChatGPT as "on-demand tutors" to break down hard biology concepts when they can't make office hours [2], which is shifting how professors design their classroom discussions.
The administrative tasks listed in your role — attendance, grading, recordkeeping — are being quietly automated by learning-management plug-ins, and even peer review (a core scholarly duty) is changing: Nature reports that the Institute of Physics Publishing just rolled out the first AI tool that scans peer-review reports for plagiarism and "review mill" fraud [3]. But there's a downside: an Inside Higher Ed investigation of an ASU biology professor's research found that about 45% of points in surveyed in-person biology courses could be earned through AI-assisted cheating [4], forcing faculty to redesign assessments rather than be replaced by AI.

Adoption is happening fast on the tool side, slowly on the institutional side. Commercial AI is cheap and everywhere, and EDUCAUSE describes universities running faculty "course refresh institutes" to help professors rebuild syllabi around AI literacy [5]. However, ethical guardrails are slowing full automation — Academic Medicine's 2026 guidance warns reviewers that confidential manuscripts must not be uploaded to public AI tools and that human judgment remains required for scholarly evaluation [6].
The good news for you: mentorship, lab supervision, research ethics, and the human spark of a great lecture are exactly the skills AI can't fake — and they're the parts of this career employers will keep valuing most.

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They teach college students about living things, like plants and animals, and conduct research to learn more about biology.
Median Wage
$83,460
Jobs (2024)
66,000
Growth (2024-34)
+7.3%
Annual Openings
5,400
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Participate in student recruitment, registration, and placement activities.
Review papers for publication in journals.
Compile bibliographies of specialized materials for outside reading assignments.
Select and obtain materials and supplies such as textbooks and laboratory equipment.
Act as advisers to student organizations.
Supervise undergraduate or graduate teaching, internship, and research work.
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
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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