Accountants and Auditors
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Examine, analyze, and interpret accounting records to prepare financial statements, give advice, or audit and evaluate statements prepared by others. Install or advise on systems of recording costs or other financial and budgetary data.
The automation risk for "Accountants and Auditors" is assessed at 51.0%, with a base risk of 51.7%. This moderately high level stems from many routine, rules-based tasks inherent in accounting, making them amenable to automation through emerging technologies like machine learning and advanced data processing. For example, tasks such as processing invoices for payment can be efficiently managed by software, reducing human intervention and error. Similarly, preparing detailed reports on audit findings and reporting to management about asset utilization and audit results are tasks that follow structured formats and are increasingly streamlined by digital tools, artificial intelligence, and accounting software. As automation evolves, the ability to audit vast amounts of financial data at scale further drives the risk upwards. Despite this, there are significant areas where human expertise remains indispensable, creating resistance to full automation in this occupation. Some of the most automation-resistant tasks include reviewing nuanced data about material assets, net worth, liabilities, capital stock, surplus, income, or expenditures—actions that often require professional judgment and context-based decision-making. Additionally, while invoice processing is automation-prone in its basic form, complex or exception cases still need human oversight. Another key resistant task is the ability to prepare, analyze, or verify annual reports, financial statements, and other records, where compliance with constantly changing standards and contextual interpretation remains a significant challenge for automated systems. A primary bottleneck to further automation in accounting and auditing is the skill of originality, which is only weakly present in the field (measured at 2.8% and 3.0% in relevant roles). Originality involves generating innovative solutions, adapting to novel scenarios, and exercising qualitative judgment—areas where current AI and automation tools have clear limitations. While many tasks are standardized and repeatable, accountants and auditors often face situations requiring them to apply experience, handle ambiguity, and craft tailored insights based on incomplete or evolving information. As a result, the continued importance of originality helps to maintain a ceiling on the total automation risk for this occupation, ensuring a sustained though evolving role for human professionals in finance.