Independent news and analysis on AI in accounting

Public data deskExternal figures remain attributed · original series publish only after stated thresholdsData methodology

Accounting AI News Data Lab

Accounting AI statistics with methodology attached.

Name: Accounting AI statistics with methodology attached.
Creator: Accounting AI News

A source ledger for professional adoption plus original trackers for controls, exceptions, pricing and accounting technology workflows.

Download source ledger View original data series

Public beta · Dataset 0103

citable figures

Page reviewed
09 August 2026

01Desk research

81%

of surveyed accountants said AI positively affected productivity

Result from an Intuit-commissioned April 2025 online survey of 700 US accounting professionals.

Source: Intuit QuickBooks Accountant Technology Survey Permanent link

02Desk research

64%

planned to invest in or upgrade AI over the next year

US accountant survey result; it describes respondent intent, not realized investment.

Source: Intuit QuickBooks Accountant Technology Survey Permanent link

03Desk research

average apps reportedly used for core firm operations

The same survey connected stack complexity with subscription, integration, data-entry and training challenges.

Source: Intuit QuickBooks Accountant Technology Survey Permanent link

Source ledger

A statistic without scope is not evidence.

This launch edition compiles externally reported figures. It is not an original survey. Follow each source before reusing a number outside its stated context.

Figure	Metric	Reference period	Evidence state	Source
81%	of surveyed accountants said AI positively affected productivity	April 2025 survey	Desk research	Intuit QuickBooks Accountant Technology Survey
64%	planned to invest in or upgrade AI over the next year	April 2025 survey	Desk research	Intuit QuickBooks Accountant Technology Survey
8	average apps reportedly used for core firm operations	April 2025 survey	Desk research	Intuit QuickBooks Accountant Technology Survey

CSVDownload this source ledgerMetric, scope, source URL, period and evidence state

Original research pipeline

Data worth linking to because nobody else maintains it.

These series open their schema before publication. No benchmark will be presented as representative until its sample, exclusions and calculation method are visible.

D01Quarterly

Accounting AI Product Map

Which records, actions and professional workflows does each product touch?

Schema published · collection open

Company
Workflow
Record
Reviewer
Evidence state

Contribute data

D02Quarterly

Exception Control Index

How do products surface ambiguity, support review and preserve changes?

Test protocol in preparation

Scenario
Exception
Approval
Reversal
Audit trail

Contribute data

D03Twice yearly

Accounting AI Price Record

What does a controlled workflow cost by firm and client volume?

Baseline in preparation

Plan
Users
Clients
Usage
Verified date

Contribute data

Planned flagship releases

One dataset. Many pages people can cite.

Every release produces a permanent landing page, key findings, methodology, machine-readable CSV and reusable charts with source notes.

Controls

Exception Control Index

Product behavior tested around ambiguous records.

Market map

Accounting AI Workflow Map

Tools grouped by record and responsible reviewer.

Buying data

Accounting AI Price Record

Comparable pricing with scope and dates.

Citation protocol

Built to be reused—and checked.

01Permanent URL
Every figure and future chart receives a stable anchor.
02Visible scope
Period, sample owner, exclusions and evidence state travel with the number.
03Open file
A CSV makes the usable data available without scraping the page.
04Change record
Material revisions keep a date, reason and correction route.

Read the complete methodology

Help build the benchmark

Have data the market keeps guessing about?

Submit an anonymized operator record, pricing sheet, product change or correction. Contributors can be credited, named only with approval or kept confidential.Contact the data desk