AI in credit and lending
21 of 270 banks (8%) in their 2025 annual reports. Banks that say they use or plan AI in credit and lending, such as underwriting and loan review.
- What this shows
- AI in credit and lending: banks whose annual report matches, each report year.
- What it means
- 21 of 270 banks in 2025, compared with 3 of 298 in 2022.
- How to read it
- Each bar is a report year. The label shows how many banks.
- Where it comes from
- Banks' annual reports (10-K) filed with the SEC, up to 6 Oct 2026. How we did this
Show as a table
| Report year | Banks |
|---|---|
| 2022 | 3 of 298 (1%) |
| 2023 | 5 of 297 (2%) |
| 2024 | 7 of 284 (2%) |
| 2025 | 21 of 270 (8%) |
The banks
- What this shows
- Banks whose 2025 annual report matches, with their most relevant quote.
- What it means
- 21 banks; those with concrete examples first.
- How to read it
- Quotes are copied exactly from the report; follow the link to read them in context.
- Where it comes from
- Banks' annual reports (10-K) filed with the SEC, up to 6 Oct 2026. How we did this
- Capital Bancorp IncMD · Mid-size bank ($1B to $50B)
Capital Bank uses data analytics, including AI and proprietary models, throughout the OpenSky™ customer lifecycle to support fraud prevention and credit decisioning.
- Triumph Financial, Inc.TX · Mid-size bank ($1B to $50B)
In 2024, we launched our instant purchase decision model to augment and add efficiencies to invoice purchase underwriting in our factoring business. This model uses machine learning and artificial intelligence, based on a rule set established by our risk model that we have developed over our
- U.S. BancorpMN · Large bank ($50B and above)
The Company also uses several models that employ methodologies based on AI or machine learning, which bring unique complexities, such as the need for large datasets for training, the potential for algorithmic bias, and the need for greater explainability in interpreting model decisions.
- American Express CoNY · Large bank ($50B and above)
we increasingly use models that leverage AI, which are subject to additional risks such as biased or inaccurate results or lowered interpretability. The complexity of these models and our limited transparency into the AI may make it difficult to understand certain outputs or identify errors.
- Atlantic Union Bankshares CorpVA · Mid-size bank ($1B to $50B)
Some models we use employ methodologies based on artificial intelligence or machine learning. These models may have unique complexities when compared to more traditional models, such as the need for large and representative datasets for training, the increased potential for bias, and the difficulty
- Bank of America CorpNC · Large bank ($50B and above)
Under our Enterprise Model Risk Policy, Model Risk Management is required to perform end-to-end model oversight, including independent validation before initial use, implementation monitoring, ongoing monitoring reviews through outcomes analysis and benchmarking, and periodic revalidation.
- Bankwell Financial Group, Inc.CT · Mid-size bank ($1B to $50B)
our current and potential future use of AI to support loan origination processes may introduce additional risk of inaccurate, incomplete, or misrepresented information
- CVB Financial CorpCA · Mid-size bank ($1B to $50B)
We have adopted an AI Policy that establishes a governance framework for developing, deploying, and managing AI and Generative AI (GenAI) solutions and initiatives, including those involving vendors.
- Capital One Financial CorpVA · Large bank ($50B and above)
we use models and AI in certain processes and may expand our use of AI in additional processes in the future. Some examples may include determining the pricing of products, identifying potentially fraudulent transactions, grading loans, extending credit
- Charles Schwab CorpTX · Large bank ($50B and above)
Schwab manages model risk, including use of artificial intelligence, through use of policies, standards, and controls which evaluate the conceptual and technical soundness of models used by the Company. Prior to the use of any artificial intelligence, we employ procedures which require
- Eagle Bancorp IncMD · Mid-size bank ($1B to $50B)
because of the complexity inherent in these approaches, especially those based on artificial intelligence, misunderstanding or misuse of their outputs could similarly result in suboptimal decision-making, which could have a material adverse effect on our business
- F.N.B. CorporationPA · Large bank ($50B and above)
reliance on biased or erroneous outputs generated by AI could lead to errors that can adversely affect managerial decisions and business judgments
- Independent Bank CorpMI · Mid-size bank ($1B to $50B)
We use artificial intelligence ("AI") and machine learning technologies in certain aspects of our operations. While these technologies can provide significant benefits, they also present risks that could adversely affect our business.
- JPMorgan Chase & Co.NY · Large bank ($50B and above)
A dedicated independent function, Model Risk Governance and Review (“MRGR”), defines and governs the Firm’s policies relating to the management of model risk and risks associated with certain analytical and judgment-based estimations
- Juniata Valley Financial CorpPA · Small bank (Under $1B)
Although the Company does not currently make significant use of artificial intelligence (“AI”), machine learning, or similar advanced data analytics technologies in its operations, the financial services industry is increasingly incorporating AI-enabled tools in areas such as credit underwriting,
- NewtekOne, Inc.FL · Mid-size bank ($1B to $50B)
we leverage software and artificial intelligence (“AI”) to extract, process and exchange information from borrowers and businesses in need of a business or financial solution.
- PNC Financial Services GroupPA · Large bank ($50B and above)
we increasingly use models related to how we do business with customers and for internal process automation that leverage AI/machine learning algorithms.
- UNIVEST FINANCIAL CorpPA · Mid-size bank ($1B to $50B)
We utilize certain AI/ML models provided by third-party vendors, including models used for credit scoring and fraud detection, and may use other AI/ML models in the future.
- FVCBankcorp, Inc.VA · Mid-size bank ($1B to $50B)
States have also started to regulate the use of artificial intelligence technologies.
- John Marshall Bancorp, Inc.VA · Mid-size bank ($1B to $50B)
States have also started to regulate the use of artificial intelligence technologies.
- New Peoples Bankshares IncVA · Small bank (Under $1B)
States have also started to regulate the use of artificial intelligence technologies.