Artificial intelligence in accounting professions: The young chartered accountants' experience

This study investigates how young Chartered Accountants (CAs) approach AI in their professional practices. Using a qualitative research design, data were collected through semi-structured interviews with young Italian CAs. Findings highlight that AI adoption among CAs follows two main approaches: horizontal and vertical. The horizontal ap proach focuses on improving efficiency in routine or peripheral tasks (e.g., scheduling and content creation) through self-directed learning and experimentation with general-purpose AI tools. It represents an entry point into digital transformation, fostering AI literacy. The vertical approach applies AI to strategic, high-value tasks (e.g., forecasting and market analysis), requiring structured training in data analytics and predictive modelling. It re flects a more profound professional evolution, where AI becomes a “cognitive assistant” for decision-making, strategic analysis, and innovation. While both approaches offer sig nificant benefits, they also share risks and challenges, including data privacy issues and output reliability, and have a different impact on the CAs-Client relationships. The two approaches are also analysed using a functional and an evolutionary perspective.