Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Postsecondary Biology Teacher:

45.6%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

To score how resilient postsecondary biology 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 biology teachers, all eight sources had data, and most agreed on high AI exposure: AI Resilience Model, Anthropic, Microsoft, and OpenAI Signals all scored it low on resilience, while Will Robots Take My Job disagreed. That broad agreement drives high confidence. Medium demand and pay kept the score from falling further, landing the role at "Somewhat Resilient."

AI Resilience Report forBiological Science Teachers, Postsecondary

$84,620 median salary4,700 annual openingsSOC Code: 25-1042.00

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

Biological science teaching at the college level earns a "Somewhat Resilient" label because AI is genuinely changing parts of the job, like grading, feedback, and learning analytics, but the most important work still requires a human. The hands-on parts of biology, including supervising lab experiments, mentoring student researchers, and leading field trips, are very hard for AI to replicate, and those tasks make up a big chunk of what biology professors actually do.

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This role is somewhat resilient

Biological science teaching at the college level earns a "Somewhat Resilient" label because AI is genuinely changing parts of the job, like grading, feedback, and learning analytics, but the most important work still requires a human. The hands-on parts of biology, including supervising lab experiments, mentoring student researchers, and leading field trips, are very hard for AI to replicate, and those tasks make up a big chunk of what biology professors actually do.

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Analysis of Current AI Resilience

Postsecondary Biology Teacher

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Postsecondary Biology Teacher jobs?

For college biology professors, AI is showing up as an augmentation tool — a helper — much more than as a replacement. Big surveys show fast uptake: the AI in Higher Education Global Survey 2026 finds 88 percent of students now use AI in their learning, and 77 percent of faculty use it in their teaching, up 16 percentage points on 2025, according to the Digital Education Council survey summarized by EdTech Innovation Hub [1]. Bio-teaching, though, moves more slowly: a February 2026 review in the Journal of Biological Education [2] notes that "Artificial intelligence (AI) is increasingly shaping biological research, yet its adoption within biological education has been much slower, partly due to concerns surrounding generative AI." The National Association of Biology Teachers made this the theme of its March 2026 issue of The American Biology Teacher [3], which focused on integrating AI into research and project-based learning.

Early experiments back the automation-percentage estimates for this role — a study in Research in Science Education [4] tested ChatGPT as a virtual lab teaching assistant in undergraduate biology, but found human TAs were more accurate and more effective at teaching. A June 2026 systematic review in Education Sciences [5] similarly concluded that today's AI mostly handles grading, feedback, and learning analytics, leaving teachers to act as interpreters or monitors of AI outputs — matching the high automation scores for records and grading and the low scores for supervision, lab equipment, and field trips.

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AI Adoption

How fast is AI adoption growing for Postsecondary Biology Teacher?

Adoption of routine tools is being pushed forward by student behavior. Cornell researchers reported in May 2026 [6] that about one-third of 95,000 surveyed students regularly use GenAI on assignments and 9% used it to cheat, forcing biology faculty to redesign syllabi, exams, and homework. But there is real friction slowing full adoption: Inside Higher Ed's January 2026 outlook [7] highlighted cost, security, privacy, and environmental concerns, plus fears of an "AI bubble." Sentiment is cooling among U.S. faculty specifically — faculty intent to use AI has declined by 9 percentage points, from 76% in 2025 to 67% in 2026 in the U.S. and Canada.

The hands-on, human parts of biology teaching — supervising lab work, mentoring undergrad researchers, repairing lab equipment, and leading field trips — remain very hard to automate, which is good news if you're considering this career. Learn to use AI for the routine stuff, and lean into the mentoring, lab, and fieldwork skills that make biology teaching human.

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Will AI replace Postsecondary Biology Teacher?

Will AI replace Postsecondary Biology Teacher?

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

Our 45.6% AI Resilience Score reflects real pressure on this role. AI is already handling a meaningful share of grading, feedback, and learning analytics [5], and 77% of faculty now use AI tools in their teaching [1]. For biology professors, that means more time saved on routine work, but also more pressure to rethink how they design exams and assignments as students lean heavily on AI tools of their own [6].

The parts of this job that stay human are genuinely hard to automate. Supervising lab work, mentoring undergraduate researchers, leading field trips, and guiding hands-on experiments require physical presence, judgment, and trust. A study testing ChatGPT as a virtual lab teaching assistant found human TAs were more accurate and more effective at actual teaching [4]. That gap matters.

The economic and demand picture is moderate, not alarming. Biology teaching is evolving, not disappearing. The practical advice: get comfortable using AI for the routine stuff, and invest deeply in the mentoring, lab, and fieldwork skills that no algorithm can replicate yet. That is where your long-term value lives.

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Latest AI news for Postsecondary Biology Teacher

These articles highlight key ways AI can enhance the careers of Biological Science Teachers. For instance, the first article showcases how AI helps reduce teacher burnout, allowing educators to focus more on student engagement and innovative teaching methods. The study on generative AI in science learning reveals how students can develop critical thinking skills by interacting with AI tools, which can be leveraged in biology classes. Embracing AI can foster resilience in this field, preparing future teachers to adapt and thrive in an evolving educational landscape.

More Career Info

Career: Biological Science Teachers, Postsecondary

They teach college students about living things, like plants and animals, and conduct research to learn more about biology.

Employment & Wage Data

Median Wage

$84,620

Jobs (2025)

62,000

Growth (2025-35)

+7.3%

Annual Openings

4,700

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% ResilienceCore Task

Provide students course-related experiences, such as field trips, outside the classroom.

2

95% ResilienceCore Task

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

3

95% ResilienceCore Task

Maintain or repair lab equipment.

4

95% ResilienceSupplemental

Act as advisers to student organizations.

5

94% ResilienceCore Task

Supervise students' laboratory work.

6

94% ResilienceSupplemental

Perform administrative duties, such as serving as department head.

7

93% 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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The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.