Environmental Science Teachers, Postsecondary

Environmental Science Teachers, Postsecondary

AI Risk Score43%Low Risk

The 43% risk score reflects the overall automation risk of your profession on a scale of 0–100. The higher the score, the more likely parts of your role could be handled by AI, increasing efficiency, but also raising the possibility of job disruption. Nearly all jobs include tasks that are automatable to some degree.

In this role, you teach courses in environmental science. includes both teachers primarily engaged in teaching and those who do a combination of teaching and research. Your job is considered Low Risk for AI automation.

Below is your job's AI vulnerability profile with detailed breakdowns of tasks, knowledge areas, skills, and abilities. Each item includes AI risk scores and importance ratings to help you prioritize what to focus on. Plus, explore the technology section to see what tools and software you'll likely encounter in this role.

You're already ahead of the curve by checking your risk and exploring your options. This project goes beyond one role, we’re building a global job warning system to help everyone stay ahead of AI. By supporting our research, you’ll unlock your full job profile, including detailed risk breakdowns, trend alerts, and priority access to new research. Supporting our research not only gives you deeper insights into your own role, it helps us keep this project alive for millions of others navigating the future of work, but don't worry, if you are not ready to support us, we provide enough free insights to get you started.

In the meantime explore the sections below, and don't miss the What to do next? section for practical steps you can start today.

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On the job, you would

On-the-job activities and responsibilities that define your role. Each task is analyzed for automation potential and contributes to your overall AI risk assessment.

9/25
Supervise student research or internship work.4.12

Supervising student work involves mentorship and guidance, which require human interaction and are challenging for AI to automate.

Write articles, books or other original materials in area of expertise.4.04Risk

Writing original materials requires creativity and expertise, which AI can support but not fully automate.

Attend training sessions or professional meetings to develop or maintain professional knowledge.4.13

Attending professional meetings involves active participation and networking, which are not easily automatable by AI.

Evaluate student work.4.51Risk

Evaluating student work involves subjective judgment and understanding of context, which AI can assist with but not fully automate.

Write grant proposals.3.45Risk

Writing grant proposals requires strategic thinking and persuasive writing, which AI can assist with but not fully automate.

Supervise student research or internship work.4.24

Supervising student research requires mentorship and guidance, which involve human interaction and are challenging for AI to automate.

Develop instructional materials.4.24

Developing instructional materials requires creativity and understanding of student needs, which are challenging for AI to replicate fully.

Develop instructional objectives.4.06Risk

Developing instructional objectives involves strategic thinking and alignment with educational goals, which AI can assist with but not fully automate.

Guide class discussions.4.06

Guiding class discussions requires real-time interaction and understanding of student dynamics, which AI cannot replicate.

Advanced Problem AnalysisRisk
Strategic Decision ImplementationRisk
Complex System OptimizationRisk

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Knowledge

Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.

9/28

Administration and Management

3.14Risk

Administration and Management involve repetitive, data-driven tasks (e.g., scheduling, reporting, workflow automation) that AI can handle efficiently, while strategic decision-making remains partially human-centric.

Administrative

2.93Risk

Administrative tasks involve repetitive, rule-based processes that AI can automate efficiently with RPA and NLP.

Economics and Accounting

2.34Risk

Economics and Accounting involve repetitive data analysis, forecasting, and bookkeeping tasks that AI can automate efficiently, though some judgment-based aspects may require human oversight.

Sales and Marketing

2.01Risk

Sales and Marketing involve repetitive tasks (e.g., data analysis, email automation) that AI can handle, but require human judgment for relationship-building, creative strategy, and complex negotiations.

Customer and Personal Service

2.93Risk

This domain includes both routine customer service tasks (automatable) and personal interaction needs (less automatable), with AI likely to handle 60% of potential automation in the next five years.

Personnel and Human Resources

2.88Risk

Personnel and Human Resources involves repetitive tasks like payroll, scheduling, and resume screening that AI can automate efficiently, with growing capabilities in data analysis and process optimization.

Production and Processing

2Risk

Production and Processing involve repetitive, structured tasks that AI can automate efficiently, such as quality control, data analysis, and workflow management.

Computers and Electronics

3.77Risk

The domain involves repetitive manufacturing, testing, and customer support tasks that AI can automate, with growing capabilities in complex design and analysis tasks.

Engineering and Technology

3.29Risk

Engineering and Technology involve repetitive, data-driven tasks (e.g., coding, simulations, diagnostics) that AI can automate efficiently, with growing capabilities in complex problem-solving and system design.

Advanced Analytics

Risk

Machine Learning

Risk

Predictive Modeling

Risk

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Skills

Practical abilities and competencies you need to perform your job effectively. Skills are assessed for automation vulnerability and help determine your AI risk level.

8/24

Reading Comprehension

4.12

Active Listening

4

Writing

4

Speaking

4.12

Mathematics

3

Critical Thinking

4

Active Learning

3.88

Learning Strategies

4

Advanced Problem Solving

Collapsed
Strategic Decision Making
Risk
Complex Analysis
Risk
Critical Thinking
Risk

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Abilities

Innate and learned capabilities that enable you to succeed in your role. Abilities are analyzed for AI replication potential and contribute to your overall risk assessment.

9/24

Oral Comprehension

4Risk

Oral comprehension involves nuanced understanding of speech, context, and tone, which AI is advancing but not yet fully automated in complex real-world scenarios.

Written Comprehension

4.12Risk

Written comprehension involves tasks like text analysis, summarization, and question-answering, which AI already excels at through advanced NLP models. These capabilities are likely to be fully automated within 5 years.

Oral Expression

4.38Risk

Oral Expression involves complex, context-dependent communication that requires nuance, adaptability, and real-time interaction, which current AI systems struggle to fully replicate, though some aspects like script generation may be automated.

Written Expression

4Risk

Written Expression involves nuanced understanding, creativity, and context, which AI can partially replicate but not fully, limiting automation potential in complex or original tasks.

Fluency of Ideas

3.12

Fluency of Ideas involves complex, context-dependent creativity and adaptability that current AI lacks, even with advancements in generative models.

Originality

3.12

Originality requires creative insight and novel synthesis of ideas, which AI currently lacks, though it may generate novel content based on patterns rather than true originality.

Problem Sensitivity

3.38

Problem Sensitivity requires nuanced judgment, contextual understanding, and adaptability, which current AI systems lack. While AI can analyze data, true problem sensitivity involves human intuition, ethics, and creativity.

Deductive Reasoning

4Risk

AI excels in structured deductive tasks but may struggle with complex, context-dependent reasoning requiring human intuition.

Inductive Reasoning

4Risk

Inductive reasoning involves pattern recognition and generalization, which AI already excels at through machine learning, with further advancements likely to enhance this capability in the next five years.

Critical Thinking

Risk

Complex Problem Solving

Risk

Strategic Planning

Risk

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Technology Used

Tools, software, and technological systems you use in your work.

8/16
Document management software
Computer aided design CAD software
Computer based training software
Calendar and scheduling software
Word processing software
Information retrieval or search software
Electronic mail software
Geographic information system
Advanced AI Tools
Machine Learning Platforms
Predictive Analytics Software

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Expert Insights

Expert comments on the job, click on the expert to see their answers.

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What to do next?

Great news — your role is fairly safe for now, but it's smart to stay proactive. Choose your strategy below:

Recommended for Low Risk:

  • • Upskill: Focus on human-centric skills that AI can't easily replicate (creativity, emotional intelligence, strategic thinking)
  • • Use AI: Learn to leverage AI tools to enhance your productivity and stay ahead of the curve
  • • Stay Alert: Monitor changes in your field to maintain your competitive advantage

Each tab contains curated resources designed to help you take the next step. More resources will be added over time.

Frequently Asked Questions

Based on our analysis, a Environmental Science Teachers, Postsecondary has a 43% AI risk score, which is considered low risk. While some tasks in this role may be automated, the profession as a whole is for now, relatively safe from complete replacement. The key is understanding which specific aspects of your job are most vulnerable, some of which are shown on this page.

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