Although the researchers discussed in this project approach AI integration from different perspectives, their arguments collectively suggest that LLMs are less likely to completely eliminate finance careers such as private credit and more likely to restructure the pathway into them. Economists such as Mo and Ouyang primarily emphasize the productivity benefits of AI, arguing that generative AI is highly efficient with “information processing capabilities—the core function through which it allocates resources, manages risk, and supports economic coordination” (Mo and Ouyang 510). Massenkoff and McCrory focus on how those same efficiency gains may reduce the need for entry-level workers, with “tentative evidence” that hiring has already slowed for younger workers entering highly exposed professions (Massenkoff and McCrory 14). The productivity improvements firms gain through AI integration may simultaneously reduce opportunities for new graduates attempting to enter the industry. At the same time, researchers studying hiring practices suggest that the restructuring of entry-level work also changes what firms consider valuable labor. Wylie Page argues that “65% from large firms mentioned AI-related skills” in finance job postings, particularly skills such as “Python, SQL, and machine learning” (Paige 25). This finding suggests that firms increasingly expect workers to collaborate with AI systems rather than simply perform repetitive technical work manually.

After researching multiple perspectives, I conclude that LLMs are unlikely to completely replace entry-level workers, but they will inevitably change the skills and expectations required to enter the industry. LLMs are clearly capable of improving efficiency, especially in sectors such as private credit that heavily benefit from automating repetitive analytical tasks; However, because AI systems still contain limitations and errors, firms cannot fully depend on automated systems for important financial decisions, which is why human roles will continue to be necessary. Although this research answered many questions, I am curious on how future finance professionals will develop practical judgment and younger workers will gain the same experience that previous generations developed early in their careers if many foundational learning experiences become automated. In the future, I will try developing familiarity with AI through coding and computer science, while also continuing to study finance in order to have a better understanding for future employment opportunities.