The implementation and use of new and evolving Artificial Intelligence ("AI") technologies present uncertainties and challenges.
Sees AI as a riskDetail: GeneralSame as last year
TMP · NY · Mid-size bank ($1B to $50B)
Total assets of FDIC-insured bank subsidiaries: $8.7B 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 | No | 55 of 221 (25%) |
| Sees AI as a risk | Yes | 184 of 221 (83%) |
| Mentions generative AI | No | 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.
The implementation and use of new and evolving Artificial Intelligence ("AI") technologies present uncertainties and challenges.
The financial services industry is subject to rapid technological developments and innovations, including the use of AI technologies. The development and implementation of AI technologies is complex, and there are technical challenges associated with achieving the optimal level of accuracy, efficiency and reliability. The algorithms and models used in AI systems may have limitations, including biases, errors, or inability to handle certain data types or scenarios. The use of AI technologies by financial institutions and their customers, and the regulatory framework and expectations surrounding the use of AI technologies, are in their early stages. Flaws in the technology, questions regarding intellectual property rights and ownership of data, ethical issues associated with the use of AI, new or increased regulation concerning the use of AI by financial institutions, and other challenges related to the use of AI may limit its usefulness and expose us to competitive harm, potential legal liability, and brand or reputational harm. The Company's evaluation, implementation and oversight of AI technologies requires the time and attention of employees including management, which may detract from other business objectives. Furthermore, there is a risk of system failures, disruptions, or vulnerabilities that could compromise the integrity, security or privacy of generated content. If we are unable to successfully use and manage AI technologies, such limitations or failures could result in reputational damage, inefficiencies, increased costs, and competitive harm, any of which could have a material adverse effect on our financial condition and results of operations.
The implementation and use of new and evolving Artificial Intelligence ("AI") technologies present uncertainties and challenges.
The financial services industry is subject to rapid technological developments and innovations, including the use of AI technologies. The development and implementation of AI technologies is complex, and there are technical challenges associated with achieving the optimal level of accuracy, efficiency and reliability. The algorithms and models used in AI systems may have limitations, including biases, errors, or inability to handle certain data types or scenarios. The use of AI technologies by financial institutions and their customers, and the regulatory framework and expectations surrounding the use of AI technologies, are in their early stages. Flaws in the technology, ethical issues associated with the use of AI, new or increased regulation concerning the use of AI by financial institutions, and other challenges related to the use of AI may limit its usefulness and expose us to competitive harm, potential legal liability, and brand or reputational harm. Furthermore, there is a risk of system failures, disruptions, or vulnerabilities that could compromise the integrity, security or privacy of generated content. If we are unable to successfully use and manage AI technologies, such limitations or failures could result in reputational damage, inefficiencies, increased costs, and competitive harm, any of which could have a material adverse effect on our financial condition and results of operations.