Benchmarks, in AI in Markets
Generative AI Spend in Financial Services Statistics
Ninety-seven percent of financial services companies surveyed said they planned to increase AI investment; JPMorgan Chase reported a $17 billion technology budget and more than 400 AI use cases in production as of 2024. The data below comes from named vendor surveys and public bank disclosures, each with its source and year. These are spending intentions and budget allocations, not audited returns; ROI self-reports are respondent estimates. Trace any figure back to its source before citing it externally.
7 figures. Published May 26, 2026. By AI Fin Hub Research.
Statistics
The numbers worth quoting
97% of financial services companies surveyed said they planned to invest more in AI technologies in the near future
The same survey found 91% of financial services companies were either assessing AI or already using it in production, indicating spending intent was near-universal among respondents.
76% of financial-services 'pioneers' allocated 20% or more of their AI budget to generative AI, versus 46% of 'followers'
Deloitte surveyed 542 financial-services leaders between July and September 2024 as part of a 2,773-leader study across 14 countries. The pioneer-follower gap shows budget concentration among early adopters.
74% of financial-services 'pioneers' estimated returns of more than 10% from advanced generative-AI initiatives, versus 44% of 'followers'
These are respondent self-estimates of ROI, not audited returns. Deloitte reports them as estimates and notes data and risk remain the key challenges to scaling generative AI.
43% of financial-services 'pioneers' had given more than 40% of their workforce access to generative-AI tools, versus 19% of 'followers'
Workforce rollout, not just pilots, separated the leading adopters, consistent with the budget-share gap reported in the same survey.
JPMorgan Chase reported a technology budget of about 17 billion US dollars for 2024
JPMorgan disclosed the figure as part of its annual technology spend. A portion is run-the-bank cost; AI is a named investment category within it, reclassified by the firm toward core infrastructure.
JPMorgan Chase reported more than 400 AI use cases in production as of its April 2024 shareholder letter
The letter described use cases spanning fraud prevention, marketing, and operations, and noted internal generative-AI tooling rolled out to large parts of the workforce.
86% of surveyed financial firms reported a positive revenue impact from AI and 82% reported cost reductions
These are respondent self-reports collected by a hardware vendor whose customers are AI adopters, so the sample skews toward firms already invested in AI. Read the figures as adopter sentiment, not an independent measurement.
Key takeaways
Methodology
Figures are compiled from named vendor surveys (NVIDIA, Deloitte) and individual-bank public disclosures (JPMorgan), each reported with its source and year. Survey ROI and impact figures are respondent self-reports and are labelled as such. No statistic on this page is derived from data collected by this site.
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Sources
- AI Takes Center Stage: Survey Reveals Financial Industry's Top Trends for 2024 , NVIDIA (2024)
- Harnessing gen AI in financial services: Why pioneers lead the way , Deloitte Insights (2024)
- JPMorgan Chase 2024 Investor Day presentation , JPMorgan Chase & Co., SEC Form 8-K (2024)
- Chairman and CEO Letter to Shareholders 2023 (published April 2024) , JPMorgan Chase & Co. (2024)
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