Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Postsecondary Chem Teacher:

44.5%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient postsecondary chemistry teaching is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For postsecondary chemistry teachers, all eight sources had data, but AI exposure split noticeably: Will Robots Take My Job saw the work as highly human, while Anthropic, Microsoft, and OpenAI Signals flagged significant AI overlap, landing confidence at medium-high. Weak hiring outlook from BLS Opportunity Score pulled the score down, leaving this career "Somewhat Resilient."

AI Resilience Report forChemistry Teachers, Postsecondary

$93,250 median salary1,700 annual openingsSOC Code: 25-1052.00

Chemistry Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Chemistry teaching at the postsecondary level earns a "Somewhat Resilient" label because AI is actively changing parts of the job (especially grading, curriculum planning, and administrative tasks) while leaving the most meaningful work, like mentoring students, supervising lab research, and hands-on instruction, largely untouched. Research shows that lab-based courses are naturally harder to automate, and the BLS projects postsecondary teaching will grow 5.9% through 2034, which is a genuinely encouraging sign for future chemistry educators.

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This role is somewhat resilient

Chemistry teaching at the postsecondary level earns a "Somewhat Resilient" label because AI is actively changing parts of the job (especially grading, curriculum planning, and administrative tasks) while leaving the most meaningful work, like mentoring students, supervising lab research, and hands-on instruction, largely untouched. Research shows that lab-based courses are naturally harder to automate, and the BLS projects postsecondary teaching will grow 5.9% through 2034, which is a genuinely encouraging sign for future chemistry educators.

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Analysis of Current AI Resilience

Postsecondary Chem Teacher

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Postsecondary Chem Teacher jobs?

If you're studying chemistry and dreaming of teaching one day, here's some reassuring news: the parts of the job that make it meaningful — mentoring students, running committees, and supervising lab research — are barely touched by AI. What's changing fastest is the paperwork side. A team at UC Irvine recently reported using an AI grading platform called Stemble in undergraduate chemistry labs, showing that AI-assisted grading provided more detailed feedback while decreasing grading time for more than 2,000 students and 50+ graduate teaching assistants [1].

Anthropic's education report, summarized by KQED, found that 57% of professors' AI conversations focused on curriculum development and only 7% on grading — which faculty said the chatbot did least effectively [2]. In other words, AI is mostly augmenting professors on syllabi, rubrics, and admin — not replacing them. Notably, a UC Berkeley study reported by Axios found top grades rose 30% in classes where AI is useful, but stayed flat in sculpture and lab-based courses [3], suggesting hands-on chemistry teaching is naturally resistant to full automation.

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AI Adoption

How fast is AI adoption growing for Postsecondary Chem Teacher?

Adoption is accelerating but uneven. HEPI's 2026 survey shows 95% of students report using AI and 65% say assessment has changed significantly, yet only 38% say their institution provides AI tools [4] — meaning universities are scrambling to catch up. Times Higher Education reports that a quarter of STEM staff strongly disagree they'll be replaced by AI, but experts warn automation may be used as "justification" to cut roles anyway [5].

Encouragingly, the BLS Monthly Labor Review projects that postsecondary teacher occupations will grow 5.9% through 2034, faster than average, driven by strong demand in biological sciences and engineering [6] — fields closely tied to chemistry. Meanwhile, a Springer-published international review argues that the shortage of AI-trained chemistry faculty and unequal workloads are real barriers, but pedagogical innovation must remain a priority [7]. The takeaway: chemistry professors who learn to use AI as a smart assistant — while keeping the human parts of teaching front and center — will likely find themselves in high demand, not replaced.

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Will AI replace Postsecondary Chem Teacher?

Will AI replace Postsecondary Chem Teacher?

Not entirely. We think AI will take over some tasks, but not the whole job.

Chemistry professors score a 44.5% AI Resilience Score, which puts them in meaningful-but-not-catastrophic territory. The honest picture is mixed: AI is already handling real work, but the core of the job stays human.

On the automation side, AI tools are moving into grading and curriculum design fast. A platform called Stemble showed that AI-assisted grading gave more detailed feedback while cutting time spent for thousands of students and dozens of teaching assistants [1]. And with 95% of students already using AI, universities are scrambling to keep up [4]. Some institutions may use that pressure as justification to cut faculty positions, not just workloads [5].

What stays human is significant, though. Mentoring students, supervising lab research, and running hands-on experiments are barely touched by automation. A UC Berkeley study found grades rose in AI-friendly courses but stayed flat in lab-based ones [3], which is good news for chemistry specifically. The job market is under pressure, so this is not a career to enter passively. But professors who treat AI as a tool rather than a threat, and keep the human parts of teaching front and center, will be hard to replace.

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Latest AI news for Postsecondary Chem Teacher

These articles highlight the evolving role of AI in chemistry education, presenting both challenges and opportunities for future postsecondary teachers. For instance, the commentary on AI revealing educational system flaws underscores the need for educators to adapt and innovate. Additionally, the exploration of AI teaching assistants showcases how technology can provide timely support to students struggling with complex chemistry concepts. Embracing AI can enhance teaching methods and student engagement, empowering educators to cultivate a resilient and effective learning environment.

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.

Employment & Wage Data

Median Wage

$93,250

Jobs (2025)

24,900

Growth (2025-35)

+2.3%

Annual Openings

1,700

Education

Doctoral or professional degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

96% ResilienceSupplemental

Participate in campus and community events.

2

95% ResilienceCore Task

Serve on committees or in professional societies.

3

95% ResilienceSupplemental

Act as advisers to student organizations.

4

94% ResilienceSupplemental

Perform administrative duties, such as serving as a department head.

5

93% ResilienceCore Task

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

6

92% ResilienceCore Task

Supervise students' laboratory work.

7

92% ResilienceCore Task

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

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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