The study focuses on how artificial intelligence (AI) is transforming accounting and auditing by turning traditional processes into data-powered, technology-enabled procedures. Automated financial reporting, cognitive data entry, and intelligent transaction classification improve accuracy, save time, and allow professionals to shift from transactional roles to strategic advising. AI also enables real-time fraud monitoring, continuous anomaly detection, and comprehensive risk mapping, facilitating a move from sampling or statistical algorithmic automation toward full-population, ongoing analytics. These advances offer significant benefits, including increased accuracy, enhanced fraud detection, and improved regulatory compliance. However, they also introduce challenges related to AI adoption. Ethical concerns regarding algorithmic transparency, data privacy risks, and potential biases raise questions about accountability. Greater reliance on AI requires practitioners to develop new skills in data analytics and system monitoring, while companies must balance efficiency gains with auditor independence and public confidence. The future of accounting and auditing will likely be built around hybrid humanAI collaboration models, supported by emerging regulations and evolving professional norms. By outlining both opportunities and risks, this article contributes to the discussion on how AI is shaping financial services and the future job market within the profession.
Nan Hu (Wed,) studied this question.