Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Postsecondary Chem Teacher:
46.3%
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%).
Low
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
AI Resilience Report forChemistry Teachers, Postsecondary
$86,220 median salary•1,900 annual openings•SOC Code: 25-1052.00
Chemistry Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Chemistry teachers at the postsecondary level earn a "Somewhat Resilient" label because AI is genuinely changing parts of the job, like grading, writing feedback, and preparing materials, while the heart of the work stays very human. Running labs safely, mentoring students through tricky concepts, and building real relationships with learners are tasks that AI simply cannot replicate, and those make up a big chunk of what chemistry professors actually do.
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Chemistry teachers at the postsecondary level earn a "Somewhat Resilient" label because AI is genuinely changing parts of the job, like grading, writing feedback, and preparing materials, while the heart of the work stays very human. Running labs safely, mentoring students through tricky concepts, and building real relationships with learners are tasks that AI simply cannot replicate, and those make up a big chunk of what chemistry professors actually do.
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Postsecondary Chem Teacher
Updated Quarterly
How is AI changing Postsecondary Chem Teacher jobs?
Right now, AI is mostly augmenting chemistry professors rather than replacing them — the technology is helping with paperwork, grading, and writing tasks, while the hands-on teaching and lab supervision stay firmly in human hands. A study published in the American Chemical Society's Journal of Chemical Education found that AI is able to provide substantive feedback on short and long student responses, data, tables, calculations, and plots, with the AI feedback requiring only occasional editing, and the current grading systems require significant involvement from instructors and graduate teaching assistants to provide feedback in laboratory-based courses. This lines up with the "maintain records / prepare materials" tasks that ONET flags as highly automatable.
A qualitative study in Discover Education concluded that chemistry faculty view AI as a helpful tool for enhancing instructional understanding and increasing student engagement [1], while raising concerns about academic integrity. AI is also helping with research funding — Nature reported in February 2026 [2] that grant proposals drafted with AI help were more likely to win NIH funding, though the tools may push researchers toward safer, less-innovative ideas.
Sources
How fast is AI adoption growing for Postsecondary Chem Teacher?
Adoption among chemistry professors is happening, but unevenly. According to an EDUCAUSE survey covered by Inside Higher Ed [3], 92% of higher-ed respondents said their institution has a work-related AI strategy and 86% said they want to keep using AI tools. At the same time, a January 2026 AAC&U/Elon University survey [3] of 1,057 faculty found 86% expect AI's effect on teachers to be "significant and transformative," 68% say their schools haven't trained them to use it, and 78% believe AI-driven cheating is rising.
As NPR reported in March 2026 [4], professors and students are still negotiating their own rules, and detecting AI-generated work has become a new burden. The good news: lab safety, mentoring researchers, and ordering chemicals all require human judgment — exactly the high-value tasks ONET rates as just 5% automatable. If you love chemistry, the people skills and lab know-how you build will stay valuable.
Sources
Will AI replace Postsecondary Chem Teacher?
Not entirely. We think AI will take over some tasks, but not the whole job.
Chemistry professors earn a 46.3% AI Resilience Score from us, which puts them in "somewhat resilient" territory. That means real change is coming, but the job itself isn't going away.
Right now, AI is handling the lower-stakes work: grading short responses, drafting feedback on lab reports, and helping write grant proposals [2]. Faculty are adopting these tools quickly, with 86% of higher-ed professionals saying they want to keep using AI at work [3]. That frees up time, but it also shifts expectations. Professors are now managing AI-driven cheating concerns and figuring out new classroom norms without much institutional support [4].
What AI cannot do is run a lab safely, mentor a struggling student through their first synthesis, or make the kind of judgment calls that hands-on science demands. Those tasks require physical presence, professional accountability, and genuine human relationships. Chemistry faculty who lean into those strengths, while learning to use AI tools for the administrative grind, will stay relevant. The job market outlook through 2034 is modest, so this is not a field to enter for easy job security. But if you love the science and the teaching, the core of this work stays yours [1].
Sources
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Latest AI news for Postsecondary Chem Teacher
These articles highlight the growing integration of AI in postsecondary chemistry education, presenting both opportunities and challenges for future teachers. For instance, the study on generative AI usage reveals how students engage with technology, suggesting that teachers must adapt their methods to enhance learning. Additionally, the AI Professional Development Model emphasizes the need for ongoing training in AI tools, equipping educators to foster a dynamic learning environment. Embracing these changes can empower chemistry teachers to build resilience in their careers and effectively support student learning in an evolving educational landscape.
How students use generative artificial intelligence in chemistry
acs.digitellinc.com • 6/20/2026
In this study, we surveyed approximately 2,700 chemistry students across general and organic chemistry in Fall 2024 to investigate their awareness, use patterns ... Read more
Chemistry Teachers, Postsecondary | AI Workforce Report
aiworkforcereport.com • 6/20/2026
AI Impact Explanation: AI will significantly transform postsecondary chemistry teaching by providing adaptive learning technologies, generating curriculum ...
VIEWS ABOUT ARTIFICIAL INTELLIGENCE IN ...
uoa.ac.tz • 6/20/2026
by A Kabirat — The study investigated the views about artificial intelligence in chemistry education among chemistry teachers and students in the Ibadan metropolis, Nigeria,. Read more
Remote Chemistry Teacher for AI Model Evaluation
www.jobleads.com • 6/20/2026
4 days ago — DataAnnotation is looking for an experienced Teacher Of Chemistry to assist in training AI models. You will analyze AI chatbot performance ... Read more
AI-Professional Development Model for Chemistry Teacher
www.jeseh.net • 6/20/2026
by B Yildirim · 2024 · Cited by 22 — This study aimed to propose a Professional Development Model (PDM) for chemistry teachers to enhance their professional development in Artificial Intelligence ... Read more
More Career Info
Career: Chemistry Teachers, Postsecondary
They teach college students about chemistry, conduct experiments, and help them understand how chemicals interact in the world around us.
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Employment & Wage Data
Median Wage
$86,220
Jobs (2024)
25,400
Growth (2024-34)
+2.2%
Annual Openings
1,900
Education
Doctoral or professional degree
Experience
None
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
Provide professional consulting services to government or industry.
2
Prepare and submit required reports related to instruction.
3
Participate in campus and community events.
4
Supervise undergraduate or graduate teaching, internship, and research work.
5
Write grant proposals to procure external research funding.
6
Select, order, and maintain materials and supplies for teaching and research, such as textbooks, chemicals, and laboratory equipment.
7
Supervise students' laboratory work.
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.
