Evaluating the Potential for Artificial Intelligence to Replace an Entry Level Accountant
Location
Sydnor Performance Hall, Schewel Hall
Access Type
Campus Access Only
Presentation Type
Oral presentation
Entry Number
97
Start Date
4-16-2026 8:15 AM
End Date
4-16-2026 8:30 AM
School
School of professional and Applied Sciences
Department
Accountancy
Keywords
Accounting, AI, Entry-Level Position
Abstract
This project aims to evaluate the potential for Artificial Intelligence to replace entry-level accountants. This evaluation process involved reading and discussing literature on the subject while additionally testing different Artificial Intelligence models with entry-level accounting tasks. Through the testing of these AI models, I was able to gather an indication of whether the models contain certain skills expected of an entry-level accountant. The selected accounting tasks were prompted into two AI models, Claude and Gemini, to be solved and analyzed. By combining the results from testing with findings from the literature, I was able to assess how well AI can solve various entry-level accounting problems and begin to make a determination regarding the ability it has to replace an entry-level accountant. Based on the synthesis of materials, I discussed the implications the accounting industry and the entry-level accounting role is facing regarding continued AI integration and presented my opinion on the potential for AI to replace entry-level accountants. With the continued evolution and integration of AI in many areas of society, understanding AI’s capabilities and the potential role it may play in the accounting industry and other areas is increasingly important.
Primary Faculty Mentor(s)
Prof. Kevin Arrington
Primary Faculty Mentor(s) Department
Accounting
Additional Faculty Mentor(s)
Dr. Paul McClure Prof. Sandy Glass
Rights Statement
The right to download or print any portion of this material is granted by the copyright owner only for personal or educational use. The author/creator retains all proprietary rights, including copyright ownership. Any editing, other reproduction or other use of this material by any means requires the express written permission of the copyright owner. Except as provided above, or for any other use that is allowed by fair use (Title 17, §107 U.S.C.), you may not reproduce, republish, post, transmit or distribute any material from this web site in any physical or digital form without the permission of the copyright owner of the material.
Evaluating the Potential for Artificial Intelligence to Replace an Entry Level Accountant
Sydnor Performance Hall, Schewel Hall
This project aims to evaluate the potential for Artificial Intelligence to replace entry-level accountants. This evaluation process involved reading and discussing literature on the subject while additionally testing different Artificial Intelligence models with entry-level accounting tasks. Through the testing of these AI models, I was able to gather an indication of whether the models contain certain skills expected of an entry-level accountant. The selected accounting tasks were prompted into two AI models, Claude and Gemini, to be solved and analyzed. By combining the results from testing with findings from the literature, I was able to assess how well AI can solve various entry-level accounting problems and begin to make a determination regarding the ability it has to replace an entry-level accountant. Based on the synthesis of materials, I discussed the implications the accounting industry and the entry-level accounting role is facing regarding continued AI integration and presented my opinion on the potential for AI to replace entry-level accountants. With the continued evolution and integration of AI in many areas of society, understanding AI’s capabilities and the potential role it may play in the accounting industry and other areas is increasingly important.