What percentage of accounting firms use AI in 2025?

According to Wolters Kluwer's 2025 Future Ready Accountant Report, 41% of accounting firms globally are using AI tools — up from 9% in 2024. A further 4 in 5 firms plan to increase AI investment, and 1 in 3 are now using AI daily. Among corporate finance functions more broadly, Gartner's 2025 survey found 59% using AI — a higher rate than accounting firms, which began scaling more recently.

How much time does AI save accountants?

A 2025 MIT and Stanford University study of 277 accountants at 79 small and midsize firms found that AI-using accountants cut monthly financial close time by 7.5 days and reallocate approximately 8.5% of their time — about 3.5 hours per week — from routine data entry to higher-value tasks. The same study found that AI-using accountants support 55% more clients per week than non-users.

What is the ROI of AI in finance and accounting?

KPMG's 2024 AI in Finance US Report found that 92% of companies report their finance AI initiatives meeting or exceeding ROI expectations. Among self-described AI leaders in finance, 96% see expectations met or exceeded, and 61% report higher-than-expected returns. ROI is strongly correlated with implementation maturity — firms that have moved past pilots into systematic deployment see substantially better results than those in exploratory phases.

What are the biggest barriers to AI adoption in accounting?

Gartner's 2025 survey identified inadequate data quality and low data literacy as the two primary barriers. CPA.com's 2025 report found 56% of accounting professionals cite generative AI as their firm's largest skills shortage — yet only 25% of firms are actively investing in AI training. Wolters Kluwer found 86% of North American finance teams are still in early-stage adoption, with only 4% having scaled AI across multiple functions.

What AI use cases are most common in accounting and finance?

KPMG's data shows financial planning (78% piloting or using) and accounting workflows (76%) as the most widely adopted AI applications in finance. At the task level, Gartner identifies knowledge management (49%), accounts payable automation (37%), and error and anomaly detection (34%) as the top three. In accounting firms, workflow automation and client delivery are the primary use cases.

What is agentic AI and when will it reach accounting?

Agentic AI refers to AI that can autonomously complete multi-step tasks — for example, monitoring a client's cash position, flagging a shortfall, and drafting a recommended action without a human prompt at each step. Wolters Kluwer's May 2025 survey found only 6% of finance leaders currently use agentic AI, but 38% plan to adopt within 12 months — putting projected adoption at 44% of finance teams by end of 2026, a 600% increase from current levels.

How does AI adoption differ between small accounting firms and large corporations?

Corporate finance functions currently have higher adoption (59% vs. 41%), but accounting firms are catching up faster — a 32-percentage-point jump in one year vs. a 1-point increase for corporate finance. The barriers also differ: corporate teams cite data quality and infrastructure; accounting firms more frequently cite skills gaps and training. The MIT/Stanford productivity findings are specifically from small and midsize firms, suggesting AI's operational impact applies equally at smaller scale.

Analysis

AI Adoption in Accounting and Finance: 2026 Statistics

AI adoption in accounting jumped from 9% to 41% in a single year. Here's what the data actually shows about rates, productivity gains, and what's coming next.

Updated: March 10, 2026

AI Adoption in Accounting and Finance: 2026 Statistics

Key Findings

✓AI adoption in finance functions reached 59% in 2025, up from 37% in 2023 — a 22-percentage-point increase in two years (Gartner AI in Finance Survey, 2025)
✓Accounting firm adoption jumped from 9% to 41% in 2025 alone — the fastest single-year adoption acceleration measured in any segment of the profession (Wolters Kluwer, 2025)
✓Accountants using AI support 55% more clients per week and cut monthly financial close time by 7.5 days compared to non-users (MIT/Stanford University, 2025)
✓92% of companies report their finance AI initiatives are meeting or exceeding ROI expectations (KPMG, 2024)
✓64% of accounting firms plan to invest in or upgrade AI in the next year, up from 48% in 2023 (Intuit QuickBooks, 2025)
✓Despite high intent, only 25% of firms are actively investing in AI training — creating a widening gap between firms building capability and those watching from the sidelines (CPA.com, 2025)
✓Agentic AI adoption in finance is projected to reach 44% of teams by end of 2026 — a 600% increase from the current 6% (Wolters Kluwer, May 2025)

Executive Summary

AI adoption in accounting and finance has moved from experimentation to deployment. Finance functions went from 37% AI adoption in 2023 to 59% in 2025 (Gartner). Accounting firms specifically jumped from 9% to 41% in a single year (Wolters Kluwer). The productivity case is now supported by rigorous academic research: a 2025 MIT/Stanford study of 277 accountants at 79 firms found that AI-using accountants support 55% more clients per week and cut monthly close time by 7.5 days. ROI skepticism has largely given way to ROI confirmation — 92% of companies report finance AI initiatives meeting or exceeding expectations (KPMG). The primary constraint on further adoption is not technology availability or cost — it is data quality and the skills gap inside accounting firms.

Introduction

Accounting and finance have long been described as ripe for AI disruption. The argument was straightforward: the work is data-intensive, rule-driven, and repetitive enough to automate. But for years, adoption lagged behind the prediction.

That gap has closed. Between 2023 and 2025, AI adoption in finance functions more than doubled. Among accounting firms specifically, adoption went from single digits to nearly half the profession in twelve months.

This report compiles verified statistics from primary institutional research published between January 2024 and March 2026. It covers adoption rates across finance functions and accounting firms, the leading AI use cases by adoption level, the measured productivity impact from peer-reviewed research, ROI data from large-scale enterprise surveys, the primary barriers still limiting adoption, and projections for agentic AI through 2026.

Every statistic in this report is sourced from the original study or report. No statistics have been extrapolated, estimated, or derived from secondary sources.

Methodology

This report is a systematic compilation of primary research published between January 2024 and March 2026. It does not present original survey data collected by Compass AI.

Source selection criteria: Sources were selected based on institutional credibility (major research firms, academic institutions, professional associations, and publicly traded companies' official research), recency (all data from 2024–2026), and specificity (preference for studies that report exact sample sizes and methodologies).

Primary sources included:

Gartner AI in Finance Survey 2024 and 2025 (183 CFOs and senior finance leaders surveyed May–June 2025)
KPMG AI in Finance US Report 2024 (US finance leaders across public and private companies)
MIT and Stanford University Study, August 2025 (277 accountants at 79 small and midsize firms, conducted with an AI-based accounting software provider)
Wolters Kluwer Future Ready Accountant Report 2025 (global tax and accounting firms)
Wolters Kluwer CCH Tagetik Survey, May 2025 (392 finance leaders)
Intuit QuickBooks Accountant Survey 2025 (accounting firms globally)
CPA.com / AICPA 2025 AI in Accounting Report

Aggregation approach: Where multiple studies cover the same metric, findings are reported separately with source attribution rather than averaged. Discrepancies between studies are noted and contextualized where relevant.

Section 1: Overall AI Adoption Rates

Finance functions have moved from AI experimentation to AI deployment faster than almost any other business function. Gartner's AI in Finance Survey — which polls CFOs and senior finance leaders annually — shows a clear trajectory:

Overall AI Adoption Rates

Year	Finance Functions Using AI
2023	37%
2024	58%
59%

Source: Survey

Source: Gartner AI in Finance Survey, 2024 and 2025

The jump from 37% to 58% between 2023 and 2024 was the largest single-year increase on record. Growth slowed in 2025 — Gartner's Marco Steecker noted that "the momentum in finance AI adoption has slowed following a sharp increase" — but 67% of current AI users in finance report being more optimistic about AI than the year before, suggesting early adopters are building on results rather than losing confidence.

Among accounting firms specifically, the trajectory is even sharper. Wolters Kluwer's 2025 Future Ready Accountant Report found:

AI adoption in accounting firms jumped from 9% in 2024 to 41% in 2025
4 in 5 accounting firms globally plan to increase AI investment
1 in 3 are now using AI tools daily

Section 2: AI Adoption by Use Case

Not all AI applications in finance are equally adopted. KPMG's 2024 AI in Finance US Report shows significant variation by function:

AI Adoption by Use Case

Use Case	Share Piloting or Using AI
Financial planning	78%
Accounting workflows	76%
Treasury management	64%
Financial reporting	52%

Source: KPMG

Source: KPMG AI in Finance US Report, 2024

Among specific task-level applications, Gartner identifies the top three as:

Knowledge management: 49%
Accounts payable process automation: 37%
Error and anomaly detection: 34%

Generative AI specifically:

58% of US finance functions are piloting or deploying generative AI (KPMG, 2024)
64% of accounting firms plan to invest in or upgrade AI next year, up from 57% in 2024 and 48% in 2023 (Intuit QuickBooks, 2025)
46% of accounting professionals use AI daily — nearly double the rate among small business owners (28%) (Intuit QuickBooks, 2025)

Agentic AI — the next wave:

Wolters Kluwer's May 2025 survey of 392 finance leaders found:

Agentic AI

Agentic AI Adoption Stage	Share of Finance Leaders
Currently using	6%
Intend to adopt within 12 months	38%
Projected adoption by end 2026	44%

Source: Wolters Kluwer

This represents a 600% increase from current levels — the fastest projected adoption curve for any finance technology segment since cloud accounting.

Section 3: Productivity Impact

The most rigorous productivity data comes from a 2025 MIT and Stanford University study, conducted with 277 accountants at 79 small and midsize firms. Published in the Journal of Accountancy in August 2025, it is the most specific quantification of AI's impact on accounting workflows to date:

Productivity Impact

Metric	Measured Impact
Monthly financial close time	Reduced by 7.5 days
Time reallocated to high-value work	8.5% of total hours (~3.5 hrs/week)
Financial report detail quality	Improved by 12%
Weekly client capacity vs. non-AI users	55% more clients

Source: MIT & Stanford University

Source: MIT/Stanford University Study, Journal of Accountancy, August 2025

The 55% increase in client capacity is the most significant finding for advisory practices — it suggests AI restructures the ceiling on how many clients a single professional can serve well, rather than merely making individual tasks faster.

Across knowledge work more broadly, supporting research shows:

Frequent AI users save the equivalent of one full workday per week (London School of Economics, 2025)
20.5% of frequent generative AI users save four or more hours per week (ITIF, 2025)

Section 4: ROI Data

KPMG's 2024 AI in Finance US Report provides the most comprehensive ROI data available:

ROI Data

ROI Category	Finding
Finance AI initiatives meeting or exceeding ROI expectations	92% of companies
AI leaders seeing expectations met or exceeded	96%
AI leaders reporting higher-than-expected ROI	61%
Earlier-stage adopters reporting higher-than-expected ROI	33%

Source: KPMG

Source: KPMG AI in Finance US Report, 2024

The gap between AI leaders (96%) and beginners (lower achievement) strongly indicates that ROI in finance AI is correlated with implementation maturity. Firms that have moved past pilots into systematic deployment see substantially better returns than those still in exploratory phases.

Section 5: Barriers to Adoption

Despite strong momentum, significant barriers remain. Gartner's 2025 survey identified the two primary challenges as:

Inadequate data quality and availability — AI systems require clean, structured, consistent financial data. Most accounting firms are still working through data standardization.
Low data literacy and technical skills — The CPA.com 2025 AI in Accounting Report found that 56% of accounting professionals cite generative AI as their largest skills shortage area.

Additional barriers from the data:

Wolters Kluwer (September 2025) found 86% of North American finance teams are still in the early stages of AI adoption — 53% exploring, 33% piloting. Only 4% have scaled across multiple functions.
The AICPA/CIMA found a significant expectations gap: 88% expect AI to be the leading accounting technology trend in the next 1–2 years, yet only 25% are actively investing in AI training.

Section 6: Accounting Firms vs. Corporate Finance Functions

Accounting Firms vs. Corporate Finance Functions

Dimension	Accounting Firms	Corporate Finance Functions
Current adoption rate	41% (2025)	59% (2025)
Year-over-year growth	+32 pp (from 9% in 2024)	+1 pp (from 58% in 2024)
Daily AI use	33%	~46%
Top use case	Workflow automation, client delivery	Financial planning, reporting
Primary barrier	Skills gap, AI training	Data quality, technical infrastructure

Source: Combination

Sources: Wolters Kluwer Future Ready Accountant Report 2025; Gartner AI in Finance Survey 2025

Corporate finance functions are further along in adoption. Accounting firms are catching up rapidly — the 32-percentage-point single-year jump is the fastest adoption acceleration measured in any segment of the profession.

Limitations

This report is a compilation of primary research, not original survey data. The following limitations apply:

Varying definitions of "adoption": Studies differ in how they define AI adoption — some measure any use of AI tools, others require regular or scaled deployment. Gartner's 59% and Wolters Kluwer's 41% are not directly comparable because they measure different populations (finance functions broadly vs. accounting firms specifically) using different adoption thresholds.

Sample scope varies by study: KPMG's data skews toward larger US enterprises. The MIT/Stanford study focused specifically on small and midsize firms. Neither fully represents the mid-market accounting firm segment that constitutes most of the CPA/advisory market.

Rapidly changing landscape: Data collection for the studies cited ranges from early 2024 to late 2025. Given adoption acceleration rates, figures on current adoption may be conservative by the time readers encounter this report.

Self-reported data: Surveys measuring AI adoption and ROI rely on self-reported responses from finance leaders. Social desirability bias — the tendency to overstate AI engagement — may inflate adoption and ROI figures in survey-based sources.

Geographic variation: Some studies are US-only (KPMG, Intuit QuickBooks), while others are global (Wolters Kluwer, Karbon). Adoption rates outside the US, particularly in Europe, may differ materially.

What This Means by Role

For CPA and advisory firm leaders

The 32-percentage-point jump in accounting firm AI adoption in a single year (9% to 41%) means your peers are moving fast. Firms building AI workflows into advisory delivery now are creating a capacity and margin advantage that will be difficult to replicate in two to three years. The most urgent action item from the data: invest in AI training. Only 25% of firms are doing it — the skills gap is the binding constraint, not tool availability.

For fractional CFOs

The 55% increase in weekly client capacity for AI-using accountants is the most consequential finding for fractional CFO practices. It means the ceiling on how many clients you can serve well is not fixed — it's a function of the tools and workflows you build. Fractional CFOs who automate client monitoring, variance reporting, and forecasting are creating capacity that peers without those systems won't have. That capacity translates directly into revenue at whatever rate you charge per client.

For CFOs at growing SMBs