Large Language Model—artificial intelligence designed to understand, generate, and process human-like text by analyzing vast amounts of data using deep learning—has become one of the most important technological shifts globally. As a current Economics major interested in pursuing a career in finance, specifically investment related roles, I chose to explore how artificial intelligence, especially LLMs, will reshape entry-level roles in the private credit sector. Before doing further research, I had taken account of economic theories such as labour demand and structural unemployment, and also considered that AI has the potential to reshape not only how work is done, but also who gets hired and what skills are needed. LLMs have also become increasingly integrated into financial services, which raises questions and concerns about how it can reshape sectors like private credit. As a freshman undergrad who will be competing to enter the financial workforce in a few years, this raises concerns about job availability, required skills, and long-term career paths. If entry-level roles will change or disappear, then the current pathway into finance may no longer work the same way in the near future.