AI Artificial intelligence ETR Effective Tax Rate NIM Net Interest Margin (FTE)
Standard wording or passing mentionDetail: GeneralNew this periodNew since the annual report
SYBT · KY · Mid-size bank ($1B to $50B)
Total assets of FDIC-insured bank subsidiaries: $9.5B 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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| 2025 |
| In the 2025 report | This bank | Banks of its size |
|---|---|---|
| Using AI now | No | 26 of 221 (12%) |
| Explains how AI is controlled | Yes | 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%) |
5 passages new in the 2025 report, 0 passages from the 2024 report no longer there. The most specific passage is more detailed than last year.
AI Artificial intelligence ETR Effective Tax Rate NIM Net Interest Margin (FTE)
AI Artificial intelligence ETR Effective Tax Rate NPV Net Present Value
AI Artificial intelligence ETR Effective Tax Rate NPV Net Present Value
The development and use of generative artificial intelligence (AI) technology presents risks and challenges that may adversely impact our business, financial condition and results of operations.
We, or our third-party vendors, clients or counterparties may develop or incorporate AI technology into certain business processes, services or products. While we have established programs to manage our increasing exposure to AI, including processes for monitoring related risks, managing third party relationships, incident response, as well as employee awareness and education, the rapid adoption and broad use of AI across technological platforms and industries exposes us to growing and evolving risks that could adversely impact our business, financial condition and results of operations.
Generative AI models, whether developed or used internally or by third-parties, may produce output or take undesirable action, reflect biases included in any data or assumptions in which they are trained, disclose private or confidential information or otherwise operate in a harmful manner. To the extent use of such models, or AI technology generally, limits transparency or grows in complexity, any failure to understand, monitor or adapt to such technology could present unique risks to our operations and business.
Further, the legal and regulatory environment related to AI is uncertain and continually evolving, expanding to incorporate intellectual property, privacy, consumer protection, employment and other laws applicable to the use of AI. These laws and regulations could impact our implementation and use of AI technology, subject us to risk of non-compliance and legal or regulatory consequences, harm our reputation and increase costs related to prevention, mitigation or resolution of such issues.