AI in Finance: Adoption and Reality Statistics

Last updated: July 2026

AI in finance has moved from experiment to budget line. The adoption numbers are real, and so is the gap between pilots and results. Here is what the latest surveys and studies actually report, with the primary source for every figure.

Adoption is real, and leveling off

59% of finance functions reported using AI in 2025. Up from 37% in 2023 and 58% in 2024, the rise has flattened: adoption went from a sharp climb to a plateau. Based on Gartner's 2025 AI in Finance survey of 183 CFOs and senior finance leaders (May to June 2025). (Gartner, November 2025)

87% of CFOs say AI will be extremely or very important to their finance department in 2026. Only 2% said it would not be important. From Deloitte's Q4 2025 CFO Signals survey. (Deloitte, Q4 2025 CFO Signals)

Knowledge management (49%) is the most common finance AI use case. Followed by accounts payable automation (37%) and error and anomaly detection (34%), per the same Gartner survey. (Gartner, November 2025)

70% of finance teams have deployed at least one AI tool, but only 10% have AI deeply embedded across multiple workflows. Deployment is broad; multi-workflow transformation is rare. From Pulley's Inside Finance's AI Decision report, a cohort study of 89 mid-market and enterprise finance leaders (Director of Finance and above) fielded May–June 2026 by Omniscient Digital via Wynter. A cohort study, not a representative benchmark; SaaS/B2B-tech-weighted (~70%), US-primary (80%+). (Pulley, 2026)

In financial modelling specifically: wide but shallow

86% of senior financial modellers used AI for a modelling task in the past 12 months, but adoption stays shallow: 70% report AI assists 25% or less of their workflow (43% at 0-10%, 27% at 11-25%). Financial Modeling Global Leaders Council survey; 63 senior modellers across 26 countries, 92% with 10+ years' experience; 100% response rate; expert panel, not a representative sample; published July 2026. (Financial Modeling Institute, 2026) + (PR Newswire, 2026)

Nearly half report little or no time savings. 30% of senior modellers report no measurable time savings from AI and 19% report under 10%; only 14% report savings above 30%. Several reframe AI's value as deeper audits rather than faster work. Same Financial Modeling Global Leaders Council survey; 63 senior modellers; 100% response rate; expert panel, not a representative sample; published July 2026. (Financial Modeling Institute, 2026) + (PR Newswire, 2026)

78% of senior modellers say the profession will shift from building models to supervising model-building systems, yet 94% still say knowing how to build a model by hand remains essential to developing financial judgment. Same Financial Modeling Global Leaders Council survey; 63 senior modellers; five-point agreement scale; 100% response rate; expert panel, not a representative sample; published July 2026. (Financial Modeling Institute, 2026) + (PR Newswire, 2026)

Finance leaders are optimistic, and nearly all already use AI

93% of finance leaders use AI in their work, and only 7% do not. From CFO Connect's CFO Salary Benchmark 2026, a self-selected survey of 516 senior finance leaders and executives (the sample skews toward CFOs and senior roles), published June 2026. (CFO Connect, June 2026)

92% are "excited" or have "mixed" feelings about AI's impact on finance teams. 46% said excited ("it can only help"), 46% mixed ("some good, some bad"), and just 3% were worried it would hurt finance teams. Same CFO Connect 2026 survey (516 respondents). (CFO Connect, June 2026)

Most time savings are modest and concentrated on admin. The largest groups of finance leaders save 3 to 5 hours (38%) or 1 to 2 hours (36%) per week with AI. The report notes adoption "remains focused on administrative workflows," with the larger opportunity still ahead in core finance (accounting, forecasting, compliance, decision-making). Same CFO Connect 2026 survey. (CFO Connect, June 2026)

93% of finance professionals expect finance-technology skills to affect pay and career discussions, and 64% expect a "major impact." Same CFO Connect 2026 survey of 516 finance leaders. (CFO Connect, June 2026)

Agents are the next priority

54% of CFOs say integrating AI agents into their finance departments will be a transformation priority. A majority now treat agentic AI, not just chat assistants, as the next step. From Deloitte's Q4 2025 CFO Signals survey, where digital transformation of finance was the top 2026 priority for 50% of CFOs. (Deloitte, Q4 2025 CFO Signals)

But most AI efforts still fall flat

95% of enterprise generative AI pilots delivered no measurable impact on the P&L. MIT's "The GenAI Divide: State of AI in Business 2025" found only about 5% of pilots reached rapid revenue acceleration, while the rest stalled. The study draws on 150 leader interviews, a 350-employee survey, and 300 public deployments. MIT attributes the gap to integration into workflows, not to model capability. (Note: the figure measures pilot business impact, not model accuracy.) (MIT report, via Fortune, August 2025)

~2x: buying AI from specialized vendors succeeds about twice as often as building in-house. The same MIT study found vendor partnerships reached successful deployment roughly 67% of the time, versus about one-third as often for internal builds. (MIT report, via Fortune, August 2025)

Why: it's the data and the integration, not the model

Data quality and data literacy are the largest obstacles to finance AI adoption. Across organizations, Gartner found inadequate data quality and availability, alongside data and technical skills gaps, to be the top barriers, ahead of the technology itself. (Gartner, November 2025)

33% of finance leaders name team capacity to evaluate and implement as the single biggest blocker to doing more with AI; only 7% say the right tools don't exist. The constraint is organizational, not the technology. From Pulley's Inside Finance's AI Decision report, a cohort study of 89 mid-market and enterprise finance leaders fielded May–June 2026 by Omniscient Digital via Wynter; not a representative benchmark. (Pulley, 2026)

Sources

Gartner, "Finance AI Adoption Remains Steady in 2025" (survey of 183 CFOs, May to June 2025). Link
Deloitte, Q4 2025 CFO Signals Survey. Link
MIT, "The GenAI Divide: State of AI in Business 2025" (reported by Fortune). Link
CFO Connect, "The CFO Salary Benchmark 2026" (survey of 516 senior finance leaders, in partnership with Spendesk, Deel, Pave). Link
Financial Modeling Institute, "The Human Financial Modeller" (Financial Modeling Global Leaders Council survey of 63 senior modellers across 26 countries, July 2026). Link · PR Newswire
Pulley, "Inside Finance's AI Decision: What 89 finance leaders told us in 2026" (cohort study of 89 mid-market and enterprise finance leaders, fielded May–June 2026 by Omniscient Digital via Wynter). Landing page · Full report PDF

Changelog

2026-06: Initial version. Adoption (Gartner), forward intent and agents (Deloitte), the pilot-to-results gap (MIT). A widely shared "44% of CFOs use genAI for 5+ use cases" figure was reviewed and excluded pending a clean primary source.
2026-06: Added "Finance leaders are optimistic, and nearly all already use AI" section: usage (93%), sentiment (92% excited/mixed), modest admin-focused time savings, and finance-tech skills impact (93% / 64% major), from CFO Connect's CFO Salary Benchmark 2026. Nuance noted: self-selected community survey, sample skewed toward CFOs/senior roles.
2026-07: Added an "In financial modelling specifically" section from the Financial Modeling Institute / GLC "Human Financial Modeller" survey (86% adoption but 70% at ≤25% of workflow; nearly half report little or no time savings; 78% expect a shift to supervising model-building, 94% still value hand-building). Expert panel, not a representative sample.
2026-07: Added Pulley's Inside Finance's AI Decision figures (70% have ≥1 AI tool but only 10% deeply embedded; 33% name team capacity the biggest blocker, only 7% say the right tools don't exist). Only figures where Pulley's landing page and full report agree were shipped; conflicting headline figures were held. Cohort study, N=89, not a representative benchmark; SaaS/B2B-tech-weighted (~70%), US-primary (80%+).

AI in Finance: Adoption and Reality Statistics (2026)