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

Annalisa Sentuti, Francesca Sgr? and Francesca Maria Cesaroni

MANAGEMENT CONTROL, 2025, vol. 2025/1 Suppl., issue 1 Suppl., 37-64

Abstract: 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 approach 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 reflects a more profound professional evolution, where AI becomes a ?cognitive assistant? for decision-making, strategic analysis, and innovation. While both approaches offer significant 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.

Date: 2025
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