Human + AI in Accounting: Early Evidence from the Field

This paper provides early evidence on the integration and impact of Generative Artificial Intelligence (GenAI) in accounting at both the accountant and task lev

Human + AI in Accounting: Early Evidence from the Field

This paper provides early evidence on the integration and impact of Generative Artificial Intelligence (GenAI) in accounting at both the accountant and task lev

Human + AI in Accounting: Early Evidence from the Field

This paper provides early evidence on the integration and impact of Generative Artificial Intelligence (GenAI) in accounting at both the accountant and task levels. Using a multi-method approach, we first identify the heterogeneous adoption patterns, perceived benefits, and concerns through survey data from 277 accountants, which we formalize into testable predictions. Leveraging field data from a technology firm providing AI-based accounting software to 79 small- and medium-sized enterprises, we analyze hundreds of thousands of transaction-level records. We document significant productivity gains among adopters, including an 18% increase in weekly client support per standard deviation of AI use, with estimates reaching 59% when comparing the highest to lowest usage levels. We also find a reallocation of approximately 9% of accountant time from routine data entry toward high-value tasks. AI use corresponds to improved financial reporting quality, evidenced by a 12% increase in ledger granularity and a 7.5-day reduction in monthly close time. Experienced accountants selectively intervene when AI confidence scores are low, suggesting complementarity between expertise and AI. A framed field experiment shows that accountants sometimes over-rely on inaccurate AI-suggested classifications, illustrating risks of AI use. Overall, our findings highlight AI’s role in potentially augmenting, rather than replacing, professional accounting expertise.

How generative AI can make accountants more productive | MIT Sloan

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