Social Sciences, General Degree

Your degree opens two distinct doors: one leading to people-centric roles, the other to data-driven analysis. Many graduates enter education, where you might spend your days creating lesson plans for a high school history class or managing a classroom of 25 middle schoolers. While teaching jobs face slight headwinds, they offer tens of thousands of openings each year. Others start in entry-level non-profit or corporate roles, eventually progressing into management. There, your focus shifts from specific tasks to coordinating team projects, setting budgets, and resolving operational challenges.

Alternatively, you could pursue a more quantitative path as a research assistant or statistician—fields with strong growth prospects. Your day would involve cleaning datasets, running statistical models, and preparing charts for research reports. AI's impact on these paths is moderate overall but varies significantly. In teaching, the effect is low; the core interpersonal work is hard to automate. For managers, AI will handle routine tasks, shifting your focus to strategy and leadership. In data-heavy roles, however, AI is reshaping the job. Your value will come less from manual analysis and more from directing AI tools and exercising critical judgment on their outputs.