HYPERION ECONOMIC JOURNAL

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• Anca Daniela ŞENCHEA, PhD. Student, Affiliation: Valahia University of Targoviste, Romania;
• Dan Marius COMAN, PhD., Associate Professor, Affiliation: Valahia University of Targoviste, Romania;

In the history of the auditing profession, there have been many changes in the way financial statements are audited. In recent years, the changes have been the result of various transformations in the environment in which companies operate and in which auditing is carried out. New technologies available today allow us to capture and communicate data digitally and instantaneously on an unprecedented scale. This technological evolution results in a growing interest in data, whether structured or unstructured, internally generated or not. In response to these developments, companies are innovatively changing their business models because they now have information systems that are increasingly capable of processing, analyzing, communicating, and responding to data-related changes. Therefore, how the audit is carried out must also evolve. Thanks to new technologies, auditing has evolved into a more automated one. Today, there are many new technologies and techniques to change the way this is done. Currently, audit firms integrate these methods into their daily audit procedures, as the environment in which these firms operate is characterized by a constant increase in available data. As part of this stack of information, Big Data pushes auditors beyond their comfort zone of traditional auditing methods. The objective of this article is to analyze the impact of emerging technologies, such as Big Data and Artificial Intelligence (AI), on the auditing profession. The article aims to explore how these technologies can transform auditing practices and requirements, bringing with them a range of opportunities and challenges for auditors. The main purpose of this article is to provide a comprehensive perspective on the direction the audit profession is heading in the digital age, highlighting the advantages brought by Big Data and AI technologies, but also the possible changes and adjustments needed within this profession.

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