{"@context":"https://schema.org","@type":"ScholarlyArticle","headline":"The consequences of artificial intelligence: an investigation into the impact of AI on job displacement in accounting","author":[{"@type":"Person","name":"Awni Rawashdeh"}],"datePublished":"2023","isPartOf":{"@type":"Periodical","name":"Journal of Science and Technology Policy Management"},"identifier":"https://doi.org/https://doi.org/10.1108/jstpm-02-2023-0030","description":"\nPurpose\nThe advent of artificial intelligence (AI) in the accounting landscape marks a significant shift, promising gains in efficiency and accuracy but also eliciting concerns about job displacement (JD) and broader socio-economic implications. This study aims to provide an in-depth understanding of how AI’s integration in accounting contributes to JD, reshapes decision-making processes and reverberates across economic and social dimensions. It also offers evidence-based policy recommendations to mitigate adverse outcomes.\n\n\nDesign/methodology/approach\nLeveraging a cross-sectional survey disseminated through Facebook, this research used snowball sampling to target a diverse cohort of accounting professionals. The collected data were subjected to meticulous analysis through descriptive and regression models, facilitated by SmartPLS 4 software.\n\n\nFindings\nThe analysis revealed a significant correlation between AI’s increasing role in accounting and a heightened rate of JD. This study found that this displacement is not isolated; it has tangible repercussions on decision-making paradigms, economic well-being, professional work dynamics and social structures. These insights corroborate existing frameworks, including, but not limited to, theories of technological unemployment and behavioural adjustments.\n\n\nResearch limitations/implications\nAlthough providing valuable insights, this study acknowledges limitations such as the restricted sample size, the cross-sectional nature of the survey and the inherent biases of self-reported data. Future research could aim to extend these initial findings by adopting a longitudinal approach and potentially integrating external data sources.\n\n\nPractical implications\nAs AI technology becomes increasingly ingrained in accounting practices, there is an urgent need for coordinated action among stakeholders. Policy recommendations include focused efforts on talent retention, investment in upskilling programs and the establishment of support mechanisms for those adversely affected by AI adoption.\n\n\nOriginality/value\nBy synthesising a range of theoretical perspectives, this study offers a comprehensive exploration of AI’s multi-dimensional impacts on the accounting profession. It stands out for its nuanced examination of JD and its economic and social implications, thereby contributing to both academic discourse and policy formulation. This work serves as an urgent call to action, highlighting the need for strategies that both exploit AI’s potential benefits and protect the workforce from its disruptive impact.\n","url":"https://innscience.ca/en/community/literature/71050dd5-a4ed-43da-9c22-0bfdf3e9223c"}