AI: Artificial Intelligence
Standard wording or passing mentionDetail: GeneralNew this period
MBIN, MBINL, MBINM, MBINN · IN · Mid-size bank ($1B to $50B)
Total assets of FDIC-insured bank subsidiaries: $19.4B at the end of 2025
Filings on the SEC website · This bank on Bankgraph
| Report year | Using or planning AI | Explains how AI is controlled | Sees AI as a risk | Other mentions |
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| 2022 | ||||
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| 2025 |
| In the 2025 report | This bank | Banks of its size |
|---|---|---|
| Using AI now | No | 26 of 221 (12%) |
| Explains how AI is controlled | No | 55 of 221 (25%) |
| Sees AI as a risk | Yes | 184 of 221 (83%) |
| Mentions generative AI | Yes | 112 of 221 (51%) |
| Mentions AI agents | No | 18 of 221 (8%) |
0 passages new in the 2025 report, 0 passages from the 2024 report no longer there.
AI: Artificial Intelligence
AI: Artificial Intelligence
Adoption of AI may present significant challenges relating to compliance risk, credit risk, reputation risk, and operational risk.
Advances in computing capacity, combined with greater availability of data and improvements in analytical techniques, continue to expand opportunities for banks to leverage AI for various risk management and operational purposes. AI use cases have varied widely and include customer chatbots, fraud detection, and credit scoring. Generative AI in particular has garnered significant attention recently, following the commercial availability of large language model tools that have made the use of generative AI more widely accessible.
The potential for further benefits and risks as AI gains more widespread adoption could be significant. Developments in the technology may reduce costs and increase efficiencies; improve products, services, and performance; strengthen risk management and controls; and expand access to credit and other banking services. Many risks can arise from all types of AI, such as lack of accountability and explainability, reliance on large volumes of data, potential bias, privacy concerns, third-party risk, cybersecurity risks, and consumer protection concerns.
AI: Artificial Intelligence
Adoption of AI may present significant challenges relating to compliance risk, credit risk, reputation risk, and operational risk.
Advances in computing capacity, combined with greater availability of data and improvements in analytical techniques, continue to expand opportunities for banks to leverage AI for various risk management and operational purposes. AI use cases have varied widely and include customer chatbots, fraud detection, and credit scoring. Generative AI in particular has garnered significant attention recently, following the commercial availability of large language model tools that have made the use of generative AI more widely accessible.
The potential for further benefits and risks as AI gains more widespread adoption could be significant. Developments in the technology may reduce costs and increase efficiencies; improve products, services, and performance; strengthen risk management and controls; and expand access to credit and other banking services. Many risks can arise from all types of AI, such as lack of accountability and explainability, reliance on large volumes of data, potential bias, privacy concerns, third-party risk, cybersecurity risks, and consumer protection concerns.
Adoption of Artificial Intelligence (“AI”) may present significant challenges relating to compliance risk, credit risk, reputation risk, and operational risk.
Advances in computing capacity, combined with greater availability of data and improvements in analytical techniques, continue to expand opportunities for banks to leverage AI for various risk management and operational purposes. AI use cases have varied widely and include customer chatbots, fraud detection, and credit scoring. Generative AI in particular has garnered significant attention recently, following the commercial availability of large language model tools that have made the use of generative AI more widely accessible.
The potential for further benefits and risks as AI gains more widespread adoption could be significant. Developments in the technology may reduce costs and increase efficiencies; improve products, services, and performance; strengthen risk management and controls; and expand access to credit and other banking services. Many risks can arise from all types of AI, such as lack of accountability and explainability, reliance on large volumes of data, potential bias, privacy concerns, third-party risk, cybersecurity risks, and consumer protection concerns.