Guide to artificial intelligence in accounting: trends, tools, and statistics

Explore how artificial intelligence is transforming accounting, which tools lead the change, and why human expertise still matters.

Artificial intelligence is rapidly reshaping the landscape of accounting, blending automation with the essential roles played by human professionals. Rather than replacing accountants, artificial intelligence acts as an efficiency multiplier, reducing manual labor in data entry, analysis, and routine processing. In 2025, over 83% of accounting professionals are already incorporating artificial intelligence into their workflows, according to global trends. Major applications include forecasting, cash flow management, reporting, fraud detection, workflow automation, and advanced communication, resulting in measurable time savings—firms that invest in artificial intelligence training report saving up to seven weeks per employee annually.

Key trends highlight growing industry confidence in artificial intelligence, with security and job security concerns beginning to ease. Communication has emerged as the most common use case, with tools streamlining email management and internal discussions. Still, newer applications such as research, marketing content creation, and predictive financial analysis are quickly gaining traction. However, a skills gap remains; only 37% of firms actively invest in training despite strong professional enthusiasm. The ability to distill complex information, manage large volumes of data for real-time insights, and automate labor-intensive bookkeeping positions artificial intelligence as a competitive lever in the industry, even as its widespread adoption continues to accelerate.

A diverse ecosystem of artificial intelligence-powered tools is emerging. Karbon AI, integrated directly into accounting practice management software, enables powerful summarization, context-driven updates, and Smart Suggestions for higher workplace efficiency. Platforms like Vic.ai focus on process automation for invoice handling and compliance, while Docyt blends machine learning with business automation for bookkeeping, reporting, and reconciliation. Meanwhile, Blue Dot emphasizes compliance in VAT and tax-centric record management, Botkeeper combines artificial intelligence with human oversight for end-to-end bookkeeping, and Rows AI leverages OpenAI technology within modern spreadsheets. Niche offerings such as Receipt-AI and Chat Thing address receipt management and internal documentation, demonstrating the breadth of options for firms of every size.

Incorporating artificial intelligence effectively demands strategic assessment of internal workflows and identification of the most repetitive, rule-based, or data-rich accounting processes. Human expertise remains crucial—interpretation, decision-making, and client relationship-building are not replicable by automation alone. Nevertheless, widespread artificial intelligence adoption is not without its hurdles: knowledge gaps, outdated processes, error risks, staff resistance, and ROI uncertainties persist. Leaders can mitigate these challenges through clear policy development, engaging team members early, and prioritizing hands-on, scenario-based training. Firms that embrace continuous upskilling, robust communication, and peer learning are best positioned to maximize artificial intelligence’s impact while empowering staff to deliver nuanced, client-focused financial leadership.

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