Political Science Teachers, Postsecondary

Political Science Teachers, Postsecondary

AI Risk Score40%Low Risk

The 40% 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 political science, international affairs, and international relations. 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.

9/22
Guide class discussions.4.51

Initiating and moderating classroom discussions requires real-time interaction and understanding of student dynamics, which are difficult for AI to automate.

Teach social science courses at the college level.4.64

Preparing and delivering lectures involves expertise and live engagement with students, though AI can assist with content delivery.

Evaluate student work.4.63Risk

Evaluating and grading student work can be partially automated with AI tools that assess objective criteria, but subjective evaluation requires human judgment.

Evaluate student work.4.36Risk

Grading examinations can be partially automated, but subjective assessments require human evaluation.

Develop instructional materials.4.34

Developing instructional materials involves creativity and understanding of student needs, but AI can assist in content creation and formatting.

Attend training sessions or professional meetings to develop or maintain professional knowledge.4.63

Attending professional meetings requires human presence and interaction, though AI can assist in information gathering and analysis.

Develop instructional objectives.4.42

Developing instructional objectives requires understanding of educational outcomes, but AI can assist in aligning objectives with standards.

Maintain student records.4.23Risk

Maintaining student records is a task that can be largely automated with AI systems managing data entry and organization.

Advise students on academic or career matters.4.08

Advising students during office hours involves personalized guidance and interaction, which are difficult for AI to 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.

9/17

Administration and Management

2.46Risk

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

2.3Risk

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

Economics and Accounting

2.14Risk

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.

Customer and Personal Service

2.9Risk

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

2.42Risk

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.

Computers and Electronics

2.85Risk

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

Mathematics

2.8Risk

AI already excels in computational mathematics, theorem proving, and problem-solving, with further advancements likely to automate more complex tasks in the next five years.

Psychology

2.68

Psychology involves complex, subjective human behaviors and emotional understanding that AI struggles to replicate, though some data analysis tasks may be automated.

Sociology and Anthropology

3.29Risk

This domain knowledge involves repetitive tasks that AI already performs well. So that's a high risk. But for Sociology and Anthropology, the tasks are not repetitive. They involve complex analysis, interpretation, and understanding of human behavior, which is more challenging for AI.

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.

8/23

Reading Comprehension

4.12

Active Listening

4

Writing

4

Speaking

4.62

Mathematics

2

Critical Thinking

3.88

Active Learning

4

Learning Strategies

3.88

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

4.12Risk

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

4.25Risk

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

4.12Risk

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

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

Originality

3

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

3.12

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

3.25Risk

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

Inductive Reasoning

3.75Risk

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.

7/14
Computer based training software
Development environment software
Calendar and scheduling software
Word processing software
Data mining software
Information retrieval or search software
Electronic mail software
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 Political Science Teachers, Postsecondary has a 40% 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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