This study investigates the influence of artificial intelligence (AI) on accounting, accounting professions, and society in several domains, including the labor market, the requisite skills for accountants, and society at large. A study was conducted in the Saudi Arabian industry to examine the impact of advancements in artificial intelligence on the field of accounting. The study investigates the impact of AI-driven breakthroughs in accounting on the employment landscape. This study indicates that advancements in artificial intelligence in the field of accounting have an effect on the virtual obstacles surrounding corporate headquarters. A sample of six hundred individuals was selected, primarily from urban and rural areas of Saudi Arabia. A total of 473 persons from the given demographic provided genuine responses, which were utilized for this investigation. The major data-driven inquiry heavily utilized SPSS, employing the ANOVA single-factor and multiple regression models. Both models exhibit a robust correlation between the dependent and independent variables, with the first model demonstrating a correlation of around 78%.

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Examining the Future: Evaluating the Impact of Artificial Intelligence on the Accounting Industry and Its Practitioners

  • Mohammad Talha,
  • Ahmad Khalid Khan,
  • Syed Mohammad Faisal,
  • Majidul Islam

摘要

This study investigates the influence of artificial intelligence (AI) on accounting, accounting professions, and society in several domains, including the labor market, the requisite skills for accountants, and society at large. A study was conducted in the Saudi Arabian industry to examine the impact of advancements in artificial intelligence on the field of accounting. The study investigates the impact of AI-driven breakthroughs in accounting on the employment landscape. This study indicates that advancements in artificial intelligence in the field of accounting have an effect on the virtual obstacles surrounding corporate headquarters. A sample of six hundred individuals was selected, primarily from urban and rural areas of Saudi Arabia. A total of 473 persons from the given demographic provided genuine responses, which were utilized for this investigation. The major data-driven inquiry heavily utilized SPSS, employing the ANOVA single-factor and multiple regression models. Both models exhibit a robust correlation between the dependent and independent variables, with the first model demonstrating a correlation of around 78%.