metric stringclasses 8
values | value stringclasses 8
values | statement stringclasses 8
values | scope stringclasses 7
values | year int64 2.01k 2.03k | source_org stringclasses 6
values | source_url stringclasses 6
values |
|---|---|---|---|---|---|---|
Finance functions using AI | 59% | Share of finance functions reporting AI use in 2025 (up from 37% in 2023) | Survey of 183 CFOs and senior finance leaders (May-June 2025) | 2,025 | Gartner | https://www.gartner.com/en/newsroom/press-releases/2025-11-18-gartner-survey-shows-finance-ai-adoption-remains-steady-in-2025 |
CFOs rating AI important for 2026 | 87% | CFOs saying AI will be very or extremely important to finance in 2026 (2% said not important) | Q4 2025 CFO Signals survey | 2,025 | Deloitte | https://www.deloitte.com/us/en/about/press-room/deloitte-q4-2025-cfo-signals-survey.html |
Finance leaders using AI | 93% | Finance leaders who use AI in their work | Self-selected survey of 516 senior finance leaders (skews CFO/senior) | 2,026 | CFO Connect | https://www.cfoconnect.eu/landing/salary-benchmark-report-2026/ |
CFOs prioritizing AI agents | 54% | CFOs saying integrating AI agents into finance is a transformation priority | Q4 2025 CFO Signals survey | 2,025 | Deloitte | https://www.deloitte.com/us/en/about/press-room/deloitte-q4-2025-cfo-signals-survey.html |
Enterprise genAI pilots with no P&L impact | 95% | Enterprise generative AI pilots that delivered no measurable P&L impact (gap attributed to workflow integration not model capability) | 150 leader interviews + 350-employee survey + 300 public deployments | 2,025 | MIT (via Fortune) | https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/ |
Audited spreadsheets containing errors | 94% | Weighted-average share of audited operational business spreadsheets found to contain errors | Field audits from 1995 onward with sound audit methodology | 2,008 | Panko (University of Hawaii) | http://panko.shidler.hawaii.edu/SSR/Mypapers/whatknow.htm |
Average spreadsheet cell error rate | 5% | Average cell error rate across audited operational spreadsheets | Field audits compiled by Panko | 2,008 | Panko (University of Hawaii) | http://panko.shidler.hawaii.edu/SSR/Mypapers/whatknow.htm |
FP&A professionals using spreadsheets weekly | 96% | FP&A professionals using spreadsheets for planning at least weekly | 2025 FP&A Benchmarking Survey | 2,025 | Association for Financial Professionals | https://www.financialprofessionals.org/training-resources/resources/survey-research-economic-data/Details/FPAbenchmarking |
Finance and AI Statistics (Source-Backed)
A small, curated dataset of statistics on AI adoption in finance, AI financial model risk, and spreadsheet reliability. Every figure links to a primary or authoritative source: an academic study, an official report, or reputable press for an event. No figure without a traceable source.
Why this exists
Finance and AI statistics get recycled across blog posts until the original source is lost, and often until the number itself has drifted from what the study actually said. This dataset keeps the figure, its exact scope, and its primary source together, so it can be cited without laundering a number through five secondary blogs.
Columns
metric: what is measured. value: the figure, as the source states it. statement: one-line context, with nuance preserved. scope: population, sample, period. year: reference year of the figure. source_org: the primary source. source_url: link to the primary source.
Scope and inclusion
A row is included only if the source is primary or authoritative, it is linked, the figure is quoted as stated with no sense-changing rounding and no merged studies, scope is given, and nuance is preserved. A contributing factor is not written as a cause.
Maintenance
Reviewed every 6 to 12 months. Dead links are re-sourced or removed. This mirrors the fuller, annotated library maintained by Layerz, at https://app.layerz.cc/resources : AI in finance, AI financial model risk, spreadsheet errors and risks, and fractional CFO statistics.
Attribution
Compiled by Layerz, https://app.layerz.cc . CC BY 4.0: reuse with attribution.
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