Political Scientists
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Study the origin, development, and operation of political systems. May study topics, such as public opinion, political decisionmaking, and ideology. May analyze the structure and operation of governments, as well as various political entities. May conduct public opinion surveys, analyze election results, or analyze public documents.
The occupation "Political Scientists" has an automation risk of 45.7%, which is just below its base risk of 46.4%. This moderate risk reflects the balance between tasks that can potentially be automated and those that require complex human skills. Many core responsibilities in political science, such as data analysis or tracking government policy changes, can increasingly be managed by advanced software, machine learning, and big data analytics. As artificial intelligence continues to improve, the efficiency and accuracy with which computers process large volumes of information make certain routine elements, like researching current events or aggregating legislative decisions, more automatable. The top three most automatable tasks for political scientists highlight this trend. Tasks such as "Teach political science," "Maintain current knowledge of government policy decisions," and "Develop and test theories, using information from interviews, newspapers, periodicals, case law, historical papers, polls, or statistical sources," can often be supplemented or partially replaced by technology. For instance, online teaching platforms, AI-powered news aggregators, and data analysis tools can handle significant aspects of these duties. However, full automation is challenging due to the need for nuanced judgment, interpretation, and adaptability in both teaching and research synthesis. Conversely, the most resistant tasks for automation rely heavily on originality, critical thinking, and human communication. "Write drafts of legislative proposals, and prepare speeches, correspondence, and policy papers for governmental use," "Provide media commentary or criticism related to public policy and political issues and events," and "Evaluate programs and policies, and make related recommendations to institutions and organizations" all require deep contextual understanding, creative problem-solving, and persuasive communication—skills currently difficult for AI to replicate. Bottleneck skills like originality, scored at 3.1% and 3.5%, indicate that the ability to generate novel ideas and approaches remains a substantial barrier to full automation. Political scientists, therefore, retain a crucial role in interpreting data, influencing policy, and engaging with the public, even as some aspects of their work become more automated.