Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

42.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

Chemistry Teachers, Postsecondary

They teach college students about chemistry, conduct experiments, and help them understand how chemicals interact in the world around us.

This role is evolving

The career of postsecondary chemistry teachers is labeled as "Evolving" because AI is increasingly used to handle routine tasks, like grading and tracking attendance, which helps save time for teachers. However, the core aspects of teaching, such as explaining complex ideas, conducting experiments, and providing personalized student guidance, still require human skills.

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Learn more about how you can thrive in this position

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Chat with Coach
Latest news
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Analysis
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News
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This role is evolving

The career of postsecondary chemistry teachers is labeled as "Evolving" because AI is increasingly used to handle routine tasks, like grading and tracking attendance, which helps save time for teachers. However, the core aspects of teaching, such as explaining complex ideas, conducting experiments, and providing personalized student guidance, still require human skills.

Read full analysis

Contributing 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

Learn about this score
Evolving iconEvolving

48.0%

48.0%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

22.9%

22.9%

Anthropic's Economic Index

Evolving iconEvolving

31.6%

31.6%

Will Robots Take My Job

Automation Resilience

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Stable iconStable

88.5%

88.5%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

2.2%

Growth Percentile:

43.4%

Annual Openings:

1,900

Annual Openings Pct:

20.5%

Analysis of Current AI Resilience

Postsecondary Chem Teacher

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Some routine tasks in college teaching are already getting AI help. For example, many schools use online gradebooks and “academic analytics” systems that automatically track attendance and grades [1]. Automated quizzes can grade tests like multiple choice on their own, and new AI chatbots can even help answer students’ routine questions [1].

A recent report found professors using AI for tasks like planning lessons and even helping grade assignments [2]. Official data agree: about 60% of grading and record-keeping tasks could be automated vs only 5–10% for grant writing or committees [3] [3]. In practice this means AI can take on paperwork and simple grading, but teaching chemistry, serving on committees, choosing research topics and writing proposals still need people.

In fact, experts note fully giving grading or student advice to AI can be “concerning,” so human teachers stay involved [2]. Overall, AI tools are being used as assistants – speeding up quizzes and tracking – but the core teaching and creative work remains very much in human hands [1] [2].

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AI Adoption

AI in the real world

Whether colleges adopt AI fast or slow depends on benefits and worries. On one hand, good AI tools are available now (even free chatbots) and cloud computing makes them cheaper to run [1]. Schools under pressure to save time may welcome AI to handle routine work, so teachers can focus on real teaching.

For example, many instructors already use AI for course planning and research because it’s easy to try out [2] [1]. On the other hand, educators worry about accuracy and fairness. Nearly half of AI-based grading trials have raised concerns about errors [2].

Universities still ban students from some AI tools, and teachers value the human touch in mentoring and decision-making. Because of these social and ethical concerns, plus the need for specialized expertise, AI in college chemistry is more likely to “assist” professors than replace them. In short, automation can speed up paperwork and testing, but the human skills of a chemistry teacher – explaining ideas, doing experiments, advising students and collaborating on research – remain irreplaceable [1] [2].

Sources

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More Career Info

Career: Chemistry Teachers, Postsecondary

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

95% ResilienceCore Task

Maintain regularly scheduled office hours to advise and assist students.

2

95% ResilienceCore Task

Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

3

95% ResilienceCore Task

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

4

95% ResilienceCore Task

Write grant proposals to procure external research funding.

5

95% ResilienceCore Task

Compile bibliographies of specialized materials for outside reading assignments.

6

95% ResilienceSupplemental

Prepare and submit required reports related to instruction.

7

95% ResilienceSupplemental

Participate in campus and community events.

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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