SYNOPSIS We investigate the implementation of Robotic Process Automation (RPA) software in public accounting by interviewing RPA leaders at Big 4 firms. RPA software automates the input, processing, and output of data to streamline repetitive, mundane tasks. Many of our findings are unique to accounting. For instance, participants report tax services are furthest along in RPA adoption, followed by advisory and assurance services. Furthermore, RPA has not impacted fees, but there is concern that clients may desire fee reductions due to decreased employee hours. Finally, unlike other technology implementations, RPA adoption is driven primarily by lower-level employees. Similar to other domains, our results indicate massive efficiency and effectiveness gains from RPA implementation. Also, interviewees do not expect reduced head count to result from RPA use. This study is the first to discuss the benefits, opportunities, and challenges to implementing RPA in accounting and serves as a catalyst for future research.

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The use of Robotic Process Automation (RPA) is a recent innovation in the public accounting industry, and the Big 4 firms are at the forefront of its implementation. This paper examines how the adoption and use of RPA is affecting the perceived work experience of firm leaders and lower-level employees at Big 4 accounting firms. We interview 14 RPA leaders, survey 139 lower-level employees, and compare and contrast their responses. We find that the two groups generally agree that RPA is having a positive influence on the profession. Both groups believe that RPA is positively changing the work employees perform and improving employee career prospects. However, while firm leaders believe RPA will improve work satisfaction, lower-level employees report no such improvements. Our insights provide direction for the accounting profession as it increases the use of RPA and for future research studies examining related issues.

ChatGPT, a language-learning model chatbot, has garnered considerable attention for its ability to respond to users’ questions. Using data from 14 countries and 186 institutions, we compare ChatGPT and student performance for 28,085 questions from accounting assessments and textbook test banks. As of January 2023, ChatGPT provides correct answers for 56.5 percent of questions and partially correct answers for an additional 9.4 percent of questions. When considering point values for questions, students significantly outperform ChatGPT with a 76.7 percent average on assessments compared to 47.5 percent for ChatGPT if no partial credit is awarded and 56.5 percent if partial credit is awarded. Still, ChatGPT performs better than the student average for 15.8 percent of assessments when we include partial credit. We provide evidence of how ChatGPT performs on different question types, accounting topics, class levels, open/closed assessments, and test bank questions. We also discuss implications for accounting education and research.

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