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Artificial Intelligence And Jobs’ Future Prospects In Accounting And Financial Auditing

Author

Listed:
  • Cristian DOGAR

    (Audit and Accounting Department, Faculty of Economic Sciences and Business Administration, Babes Bolyai University, Romania)

  • Carmen Mihaela SCORTE

    (Finances and Accounting Department, Faculty of Economic Sciences, Oradea University, Romania)

Abstract

Despite all controversies, the Artificial Intelligence (AI) continues its course in becoming more and more present in our world, with a huge perspective on modelling it. Using its capacity to assist various processes, it becomes a strong support of increased productivity being also perceived as a threat for jobs, professions and society as well. The aim of this qualitative research is to explore the how AI is perceived as impacting on jobs, and about future jobs' prospects in accounting, and financial auditing. We conducted a summary recent literature review regarding AI increasing use in audit and accounting. As existing hundreds of published papers on AI robots and human labour interaction, in the purpose of selecting relevant literature and for reaching to the mainstream consensual conclusions, input from three AI bots was used, as paper further describes. This paper is structured so readers may follow and further debate this issue around three research questions: are accounting, and financial auditing suited to be assisted by AI, what about existing jobs in this phase of AI usage, and what should happen next with professional’s jobs as long as AI keeps spreading and developing? Conclusions of this explanatory – predictive research are aimed to support future accounting and financial auditing related educational initiatives in the context of AI development and pervasion, but also future research on more detailed aspects of interrelations with human increasingly adapted work.

Suggested Citation

  • Cristian DOGAR & Carmen Mihaela SCORTE, 2023. "Artificial Intelligence And Jobs’ Future Prospects In Accounting And Financial Auditing," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 32(1), pages 403-416, July.
    • Handle: RePEc:ora:journl:v:32:y:2023:i:1:p:403-416
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    References listed on IDEAS

    as
    1. Anastassia Fedyk & James Hodson & Natalya Khimich & Tatiana Fedyk, 2022. "Is artificial intelligence improving the audit process?," Review of Accounting Studies, Springer, vol. 27(3), pages 938-985, September.
    2. Anton Korinek & Joseph E. Stiglitz, 2018. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390, National Bureau of Economic Research, Inc.
    3. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
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    Keywords

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    JEL classification:

    • M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration

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