Building Your Career Plan/Hypothesis

Breaking into AI policy: Insights from five industry experts

This article distills advice from five AI policy professionals on what helps people break into the field, including judgment, clear communication, follow-through, and the ability to make recommendations under uncertainty. It is a practical and encouraging introduction to how people already working in AI policy think about skill-building, applications, and early-career positioning.

Testing your fit for policy careers

This reading helps learners think seriously about whether policy work fits their interests, strengths, and working style, while stressing that “policy” includes many different institutions, roles, and subfields. It also offers a concrete framework for fit-testing, from low-cost options like reading and informational interviews to higher-commitment tests such as internships, fellowships, and graduate study.

Mapping your options with career hypotheses | Probably Good

This reading introduces the idea of career hypotheses: rough, testable ideas about how your interests, skills, and values might translate into an impactful career path. It encourages readers to generate a few plausible options and then test them through research, conversations, and low-stakes experiments rather than trying to choose a single perfect plan immediately.