Briefing Highlights

  • Researchers note that accountants deploying generative AI can increase the level of detail in financial reports by 12%, shift 8.5% of their work time from routine back-office processing to high-value tasks, and reduce the time required to complete monthly closing by 7.5 days.
  • Researchers from MIT Sloan School of Management and Stanford Graduate School of Business say that by using generative AI, accountants can devote more time to analytical work, quality assurance, and client communication.
  • "On average, accountants using AI support 55% more clients per week than non-users, enabling them to expand their client service scope. These accountants also record more billable hours, indicating that AI helps convert previously non-productive time into client-facing work," the researchers said.

In-Depth Analysis

Recent studies show that AI advancements in this century have improved the efficiency and accuracy of accounting work, with machine learning enhancing capabilities in fraud detection, earnings forecasting, market trend prediction, and risk management.

Meanwhile, many companies use robotic process automation to handle routine tasks such as data entry and reconciliation, thereby reducing errors and improving efficiency.

The MIT/Stanford research goes beyond previous findings, "uniquely capturing the full picture of how generative AI is fundamentally transforming financial reporting and professional accounting practices," said researchers Jung Ho Choi and Chloe Xie.

The researchers collaborated with an AI software provider specializing in accounting, analyzing hundreds of thousands of transactions from 79 small and medium-sized companies.

Choi and Xie also surveyed 277 accountants on how they adopt AI and how they perceive the technology's benefits and risks.

When accountants use AI as a collaborative tool, AI particularly complements the professional judgment of the most experienced accountants, Choi and Xie said.

"We found that more experienced accountants tend to use AI systems more strategically and derive greater performance gains from them," the researchers stated.

Senior accountants are adept at interpreting AI metrics that gauge the reliability of its recommendations, and when scores are low, they tend to intervene more frequently than less experienced colleagues, the researchers said.

"Less experienced accountants may still rely on AI when confidence is low, or fail to fully leverage AI suggestions, resulting in smaller benefits," the researchers noted.

"These dynamics indicate that AI augments rather than replaces human judgment," they said, adding, "The role of accountants in overseeing AI and handling novel or complex cases remains crucial."

The industry's attitude toward AI is not entirely optimistic. According to the researchers, while most accountants acknowledge AI's value in streamlining work, 62% express concerns about potential errors and inaccuracies.

Overall, "generative AI can substantially enhance accounting work without replacing professionals," Choi and Xie said. Firms adopting the technology can achieve "significant improvements" in productivity, task allocation, and reporting quality.