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

Journal title MANAGEMENT CONTROL
Author/s Annalisa Sentuti, Francesca Sgrò, Francesca Maria Cesaroni
Publishing Year 2025 Issue 2025/1 Suppl.
Language English Pages 28 P. 37-64 File size 185 KB
DOI 10.3280/MACO2025-001-S1003
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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.

Keywords: Chartered accountants, Artificial intelligence, Accounting, Italy

  1. Abdallah W., Harraf A., Al Wael H. (2025), Factors influencing artificial intelligence implementation in the accounting industry: a comparative study among private and public sectors, Journal of Financial Reporting and Accounting.
  2. Abrahams T.O., Ewuga S.K., Kaggwa S., Uwaoma P.U., Hassan A.O., Dawodu S.O. (2024), Mastering compliance: a comprehensive review of regulatory frameworks in accounting and cybersecurity, Computer Science & IT Research Journal, 5(1), pp. 120-140.
  3. Adeyelu O. O., Ugochukwu C. E., Shonibare M. A. (2024), The impact of artificial intelligence on accounting practices: advancements, challenges, and opportunities, International Journal of Management & Entrepreneurship Research, 6(4), pp. 1200-1210.
  4. Assidi S., Omran M., Rana T., Borgi H. (2025), The role of AI adoption in transforming the accounting profession: a diffusion of innovations theory approach, Journal of Accounting & Organizational Change.
  5. Baldvinsdottir G., Burns J., Nørreklit H., Scapens R. W. (2009), The image of accountants: from bean counters to extreme accountants, Accounting, Auditing & Accountability Journal, 22(6), pp. 858-882.
  6. Bao Y., Hilary G., Ke B. (2022), Artificial intelligence and fraud detection, Innovative Technology at the Interface of Finance and Operations, I, pp. 223-247.
  7. Busulwa R., Birt J., Gepp A., Oates G. (2025), Current State of Accountants’ Knowledge of Digital Technologies: Evidence From Australia and New Zealand, Accounting & Finance.
  8. Centorrino G., Noto G., Rupo D. (2022), Management control in inter-firm relationships: Opportunities and challenges of blockchain technology adoption, Management Control, 3, pp. 65-88.
  9. Cesaroni F.M., Sentuti A. (2016), Accountants’ role in the management of succession: empirical evidence from Italy, Journal of Family Business Management, 6(3), pp. 270-290.
  10. Cooper L. A., Holderness Jr D. K., Sorensen T. L., Wood D. A. (2019), Robotic process automation in public accounting, Accounting Horizons, 33(4), pp. 15-35.
  11. da Silva A. F., Gonçalves M. J. A., Oliveira H. C., Duarte J. P. (2023), Accountant’s Perceptions of the Digital Transformation, in Digital Technologies and Transformation in Business, Industry and Organizations: Vol. 2 (pp. 211-233), Cham: Springer Nature Switzerland.
  12. Del Gobbo R. (2023), I Big Data non “parlano da soli”: il ruolo dei modelli nella diffusione degli analytics per il management accounting, Management Control, 1, pp. 5-20.
  13. Dermarkar S., Hazgui M., Baudot L. (2024), A glimpse into the innovative landscape of the accounting profession from the perspective of prospective accountants, Accounting Auditing Control, 30(4), pp. 15-48.
  14. Detzen D., De Vries M., Wong A. (2021), Young professionals and the institute: Giving a voice to the next generation of accountants?, European Accounting Review, 30(3), pp. 557-582.
  15. Dewua K., Barghatht Y. (2019), The accounting curriculum and the emergence of Big Data, Accounting and Management Information Systems, 18(3), pp. 417-442.
  16. DIG© (2024), Observatory of Professionals and Digital Innovation, Professionisti, qualcuno con cui correre, Osservatorio Professionisti e Innovazione Digitale.
  17. Emetaram E., Uchime H.N. (2021), Impact of artificial intelligence (AI) on accountancy profession, Journal of Accounting and Financial Management, 7(2), pp. 15-25.
  18. Eurostat (2025), Use of artificial intelligence in enterprises, January 2025 -- https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_in_ enterprises.
  19. Filippi E., Bannò M., Nencini I. (2024), Artificial intelligence in business and decision making: analysis of benefits and challenges for consultancy SMEs, Piccola Impresa/Small Business, (2), pp. 88-110.
  20. Fogarty T. J., Reinstein A., Heath R. S. (2017), Are today’s young accountants different? An intergenerational comparison of three psychological attributes, Accounting Horizons, 31(2), pp. 83-104.
  21. Frey C.B., Osborne M.A. (2017), The future of employment: How susceptible are jobs to computerisation?, Technological forecasting and social change, 114, pp. 254-280.
  22. Ghosh D., Ghosh R., Roy Chowdhury S., Ganguly B. (2024), AI-exposure and labour market: a systematic literature review on estimations, validations, and perceptions, Management Review Quarterly, pp. 1-28.
  23. Gioia D. A., Corley K. G., & Hamilton A. L. (2013), Seeking qualitative rigor in inductive research: Notes on the Gioia methodology, Organizational Research Methods, 16(1), pp. 15-31.
  24. Gotthardt M., Koivulaakso D., Paksoy O., Saramo C., Martikainen M., Lehner O. (2020), Current state and challenges in the implementation of smart robotic process automation in accounting and auditing, ACRN Journal of Finance and Risk Perspectives.
  25. Hasan A. R. (2021), Artificial Intelligence (AI) in accounting auditing: A Literature review, Open Journal of Business and Management, 10(1), pp. 440-465.
  26. Holmes A. F., Douglass A. (2022), Artificial intelligence: Reshaping the accounting profession and the disruption to accounting education, Journal of Emerging Technologies in Accounting, 19(1), pp. 53-68.
  27. Jackson D., Michelson G., Munir R. (2022), New technology and desired skills of early career accountants, Pacific Accounting Review, 34(4), pp. 548-568.
  28. Jackson D., Richardson J., Michelson G., & Munir R. (2023), The future of accounting talent: Career values, choices and satisfaction among early career accountants, Australian accounting review, 33(4), pp. 391-406.
  29. Kok J. N., Boers E. J., Kosters W. A., Van der Putten P., Poel M. (2009), Artificial intelligence: definition, trends, techniques, and cases, Artificial Intelligence, 1(51), pp. 270-299.
  30. Kokina J., Gilleran R., Blanchette S., Stoddard D. (2021), Accountant as digital innovator: Roles and competencies in the age of automation, Accounting Horizons, 35(1), pp. 153-184.
  31. Kroon N., Alves M. D. C., Martins I. (2021), The impacts of emerging technologies on accountants’ role and skills: Connecting to open innovation - a systematic literature review, Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 163.
  32. Mancini D., Piedepalumbo P., Lavorato D. (2023), Il contributo di Management Control alla ricerca su tecnologie digitali e sostenibilità, Management Control, 2, pp. 5-18.
  33. Mcbride K., Philippou C. (2022), “Big results require big ambitions”: big data, data analytics and accounting in masters courses, Accounting Research Journal, 35(1), pp. 71-100.
  34. Merdekawati E., Nasrun M., Ferawati A. (2024), The Impact of Technology on Accounting Education and Practice, Economics and Digital Business Review, 5(2), pp. 1084-1098.
  35. Modisane C. (2024), Background information about AI in accounting and auditing practice, in Continuous Auditing with AI in the Public Sector (pp. 13-29). CRC Press.
  36. Moll J., Yigitbasioglu O. (2019), The role of internet-related technologies in shaping the work of accountants: New directions for accounting research, The British accounting review, 51(6), 100833.
  37. Montemari M., Nielsen C. (2021), Big data for business modeling: Towards the next generation of performance measurement systems?, Management Control, 1.
  38. Odonkor B., Kaggwa S., Uwaoma P. U., Hassan A. O., Farayola O. A. (2024), The impact of AI on accounting practices: A review: Exploring how artificial intelligence is transforming traditional accounting methods and financial reporting, World Journal of Advanced Research and Reviews, 21(1), pp. 172-188.
  39. Patton M. Q. (2002), Qualitative research and evaluation methods (3rd ed.),Thousand Oaks, CA: Sage Publications.
  40. Rawashdeh, A. (2023), The consequences of artificial intelligence: an investigation into the impact of AI on job displacement in accounting, Journal of Science and Technology Policy Management.
  41. Richins G., Stapleton A., Stratopoulos T. C., Wong C. (2017), Big data analytics: opportunity or threat for the accounting profession?, Journal of Information Systems, 31(3), pp. 63-79.
  42. Saracco R. (2022), Perspectives on AI adoption in Italy, the role of the Italian AI strategy, Discover Artificial Intelligence, 2(1), 9.
  43. Schmidt P. J., Riley J., Swanson Church K. (2020), Investigating accountants’ resistance to move beyond Excel and adopt new data analytics technology, Accounting Horizons, 34(4), pp. 165-180.
  44. Sentuti A., Cesaroni F. M. (2024), The ‘exodus’ from family businesses. How non-successor daughters form their entrepreneurial identity in the business families context, Entrepreneurship & Regional Development, pp. 1-24.
  45. Shams R. A., Zowghi D., Bano M. (2023), AI and the quest for diversity and inclusion: a systematic literature review, AI and Ethics, pp. 1-28.
  46. Spanò R., Bagnoli C., Caldarelli A., Massaro M. (2023), Blockchain implications for the accounting realm: A critique of extant studies, Management Control, 1, pp. 21-42.
  47. Stancheva-Todorova E. P. (2018), How artificial intelligence is challenging accounting profession, Journal of International Scientific Publications, 12(1), pp. 126-141.
  48. Tettamanzi P., Minutiello V., Murgolo M. (2023), Accounting education and digitalization: A new perspective after the pandemic, The International Journal of Management Education, 21(3), 100847.
  49. Uren V., Edwards J. S. (2023), Technology readiness and the organizational journey towards AI adoption: An empirical study, International Journal of Information Management, 68, 102588.
  50. Valentinetti D., Rea A. (2022), Blockchain e bilancio di esercizio: verso una convergenza di interessi “distribuita”?, Management Control, 2, pp. 15-40.
  51. Valentinetti D., Rea M. A. (2023), Intelligenza artificiale e accounting: le possibili relazioni, Management Control, 2, pp. 93-116.
  52. Vitali S., Giuliani M. (2024), Emerging digital technologies and auditing firms: Opportunities and challenges, International Journal of Accounting Information Systems, 53, 100676.
  53. Waleed M., Bashir F., Nasim I. (2023), Artificial intelligence revolution: Shaping the future of millennials, Pakistan Journal of Humanities and Social Sciences, 11(4), pp. 4261-4274.
  54. White B. S., Davidson B. I., & Cullen Z. (2020), Career anchors of millennial accountants, in Advances in Accounting Behavioral Research (pp. 141-161). Emerald Pub. Limited.
  55. Zhang C., Zhu W., Dai J., Wu Y., Chen X. (2023), Ethical impact of artificial intelligence in managerial accounting, International Journal of Accounting Information Systems, 49, 100619.

Annalisa Sentuti, Francesca Sgrò, Francesca Maria Cesaroni, Artificial intelligence in accounting professions: The young chartered accountants’ experience in "MANAGEMENT CONTROL" 1 Suppl./2025, pp 37-64, DOI: 10.3280/MACO2025-001-S1003