In the 2025 annual reportThe yearly report a listed company files with the SEC, called a 10-K. It describes the business, its risks and its results.
Mentions AI
Yes
4 passages
Highest detail levelHow specific a passage is about AI at this bank. General: could be in any bank's report. Names an area: says where AI is used or how it is controlled. Concrete example: names a tool or vendor, gives a number, a date or a result.
Names an area
What it says
Sees AI as a risk
Kinds of AI named
Machine learning
How AI is controlled
Responsible AI
AI in its annual reports over time
What this shows
How many passages about AI each annual report contains, 2022 to 2025, by what they say.
What it means
2 passages in 2022, 4 passages in 2025.
How to read it
Each bar is a report year, split by what the passages say. Hover or tap a bar for the count.
Where it comes from
Banks' annual reports (10-K) filed with the SEC, up to 6 Oct 2026. How we did this
Passages about AI in First Horizon Corp's annual reports, by report year.Show as a table
Report year
Using or planning AI
Explains how AI is controlled
Sees AI as a risk
Other mentions
2022
2022
2022
2022
2023
2023
2023
2023
2024
2024
2024
2024
2025
2025
2025
2025
Compared with banks of its size
What this shows
This bank's 2025 annual report next to all 43 banks of its size ($50B and above).
What it means
Its most specific passage is "Names an area"; for banks of its size the typical level is "Names an area".
How to read it
Yes or no for this bank; the share of banks of the same size for comparison.
Where it comes from
Banks' annual reports (10-K) filed with the SEC, up to 6 Oct 2026. How we did this
In the 2025 report
This bank
Banks of its size
Using AI now
No
12 of 43 (28%)
Explains how AI is controlled
Yes
30 of 43 (70%)
Sees AI as a risk
Yes
43 of 43 (100%)
Mentions generative AI
No
33 of 43 (77%)
Mentions AI agents
No
10 of 43 (23%)
What changed from 2024
2 passages new in the 2025 report, 4 passages from the 2024 report no longer there.
Every passage about AI
What this shows
All 19 passages about AI in this bank's annual reports, quarterly reports and earnings materials since 2023, newest first.
What it means
0 passages say the bank is using AI now.
How to read it
Highlighted words are the terms that matched. Labels show what each passage says. Follow the link to read it in the filing.
Where it comes from
Banks' annual reports (10-K), quarterly reports (10-Q) and earnings materials (8-K) filed with the SEC. How we did this
Annual report, report year 2025 filed 26 Feb 2026
New technologies proliferating in the financial services industry are subject to risks and uncertainties that could impair their effectiveness or have a negative impact on our business. New technologies, services, and systems based wholly or in part on artificial intelligence are proliferating within our industry, including at our Company as we are seeking to accelerate both our data capabilities and our responsible use of artificial
Sees AI as a riskDetail: Names an areaNew this year
intelligence to deliver excellent client and associate outcomes. These technologies are subject to risks that algorithms and datasets may be flawed or insufficient or contain biased or incorrect information, risks that are exacerbated because models and processes related to artificial intelligence are not always transparent.
Sees AI as a riskDetail: GeneralMachine learningNew this year
Fraud is a major, and increasing, operational risk for us and all banks. Two traditional areas—deposit fraud (check forging, check kiting, wire fraud, check washing, etc.) and loan fraud—continue to be major sources of fraud attempts and actual loss. Fraud directed against clients—generally using deception to persuade clients to transfer funds—has emerged as a third large source of fraud loss. The methods used to perpetrate and combat fraud continue to evolve as technology changes. In addition to cybersecurity risk (discussed below), new technologies—including the use of artificial intelligence—have made it easier for bad actors to obtain and use client personal information, mimic communications to or from clients, mimic signatures, and otherwise create false instructions and documents that appear genuine.
Cybersecurity risks for banks and other financial institutions have increased significantly in recent years in part because of the proliferation of technology-based products and services and the increased sophistication and activities of organized crime, hackers, terrorists, nation-states, nation state-supported actors, activists and other external parties. This increase is expected to continue and further intensify. The techniques used by cyber criminals change frequently, may be difficult to detect over extended periods, and can be initiated from a variety of sources, including terrorist organizations and hostile foreign governments. In addition, the effectiveness of these techniques may be further enhanced by the use of artificial intelligence.
For example, companies which claim to offer applications and services based on artificial intelligence compete much more directly with traditional financial services companies in areas involving personal advice, including high-margin
Other technologies, services, and systems based wholly or in part on artificial intelligence and machine learning are proliferating within our industry and among many of our commercial clients, resulting in an environment which is changing rapidly. These technologies are subject to risks that algorithms and datasets may be flawed or insufficient or contain biased information, risks that are exacerbated because models and processes related to artificial intelligence and machine learning are not always transparent. Our challenge is to maintain critical stability and security while also being nimble enough to adapt quickly to changing circumstances and client demands.
We believe that, over the course of the technology-driven evolution of our industry which is well underway, the “winners” will be those institutions which can know their clients and make those clients feel they are known, even when many clients increasingly do not visit banking centers or have face-to-face live interaction. Two keys to achieving a psychological connection with such clients are (1) data management and analytics, using artificial intelligence processes, which allow an institution to provide a differentiated, personalized experience for the client at the point of interaction, and (2) seamless integration of real-time client contact with a human being through voice, chat, or other means.
General statement about AIDetail: GeneralMachine learningSame as last year
Fraud is a major, and increasing, operational risk for us and all banks. Two traditional areas—deposit fraud (check forging, check kiting, wire fraud, etc.) and loan fraud—continue to be major sources of fraud attempts and actual loss. Fraud directed against clients—generally using deception to persuade clients to transfer funds—has emerged as a third large source of fraud loss. The methods used to perpetrate and combat fraud continue to evolve as technology changes. In addition to cybersecurity risk (discussed below), new technologies—including the use of artificial intelligence—have made it easier for bad actors to obtain and use client personal information, mimic communications to or from clients, mimic signatures, and otherwise create false instructions and documents that appear genuine.
Cybersecurity risks for banks and other financial institutions have increased significantly in recent years in part because of the proliferation of technology-based products and services and the increased sophistication and activities of organized crime, hackers, terrorists, nation-states, nation state-supported actors, activists and other external parties. This increase is expected to continue and further intensify. The techniques used by cyber criminals change frequently, may not be recognized until launched (or may evade detection for considerable time), can be initiated from a variety of sources, including terrorist organizations and hostile foreign governments, and may see their frequency increased, and effectiveness enhanced, by the use of artificial intelligence.
As FHN manages it, IT risk includes cybersecurity risk, which in turn includes the risks from cyber fraud, cyber theft, cyber vandalism, cyber ransom, data and system security, and other unauthorized incursions into FHN's IT systems. IT risk management also includes IT system reliability, data integrity, IT aspects of regulatory compliance, and risks associated with the use of artificial intelligence tools and systems. The discussion in this section focuses on cybersecurity. Additional information on this topic is presented in Cybersecurity Risks within Item 1A beginning on page 35.
Sees AI as a riskDetail: Names an areaSame as last year
For example, companies which claim to offer applications and services based on artificial intelligence compete much more directly with traditional financial services companies in areas involving personal advice, including high-margin services such as financial planning and wealth management. The low-cost, high-speed nature of these “robo-advisor” services can be especially attractive to younger, less-affluent clients and potential clients, as well as persons interested in “self-service” investment management. Other industry changes, such as zero-commission securities trading offered by certain large firms, may amplify this trend.
Other technologies, services, and systems based wholly or in part on artificial intelligence are proliferating within our industry and among many of our commercial clients, resulting in an environment which is changing rapidly. Our challenge is to maintain critical stability and security while also being nimble enough to adapt quickly to changing circumstances and client demands.
General statement about AIDetail: GeneralNew this year
We believe that, over the course of the technology-driven evolution of our industry which is well underway, the “winners” will be those institutions which can know their clients and make those clients feel they are known, even when many clients increasingly do not visit banking centers or have face-to-face live interaction. Two keys to achieving a psychological connection with such clients are (1) data management and analytics, using artificial intelligence processes, which allow an institution to provide a differentiated, personalized experience for the client at the point of interaction, and (2) seamless integration of real-time client contact with a human being through voice, chat, or other means.
General statement about AIDetail: GeneralMachine learningSame as last year
Fraud is a major, and increasing, operational risk for us and all banks. Two traditional areas—deposit fraud (check forging, check kiting, wire fraud, etc.) and loan fraud—continue to be major sources of fraud attempts and actual loss. Fraud directed against clients—generally using deception to persuade clients to transfer funds—has emerged as a third large source of fraud loss. The methods used to perpetrate and combat fraud continue to evolve as technology changes. In addition to cybersecurity risk (discussed below), new technologies—including the use of artificial intelligence—have made it easier for bad actors to obtain and use client personal information, mimic communications to or from clients, mimic signatures, and otherwise create false instructions and documents that appear genuine.
As FHN manages it, IT risk includes cybersecurity risk, which in turn includes the risks from cyber fraud, cyber theft, cyber vandalism, cyber ransom, data and system security, and other unauthorized incursions into FHN's IT systems. IT risk management also includes IT system reliability, data integrity, IT aspects of regulatory compliance, and risks associated with the use of artificial intelligence tools and systems. The discussion in this section focuses on cybersecurity. Additional information on this topic is presented in Cybersecurity Risks within Item 1A beginning on page 33.
Sees AI as a riskDetail: Names an areaNew this year
Continuous improvement Significant improvements since 2020 by implementing high-impact technology initiatives 53 2023 2022 Next-gen core, digital, and servicing platform for VirtualBank New wire and commercial loan servicing platform ‘nCino’ for commercial loan origination completed in 8 months New digital platform for our Treasury Management clients Development process modernization (DevOps) New contact center IVR and agent platform AI-powered platform piloted for deposit fraud Cyber program enhancement 2020 ACH payments system upgrade (PEP+)
Testing or planning AIDetail: Names an areaFraud detectionnCinoNew this periodNew since the annual report
What it will take In order to deliver, we plan to invest an additional ~$75 - $100 million in technology and talent 55 ~$75 – $100 million in additional investment over the next 3 years 100% A Ensure business resiliency Must-do work in regulatory compliance, cybersecurity and fraud, as well as refreshing and replacing aged systems B Elevate technology delivery Simplification of select platforms, harnessing cloud and API capabilities, hiring additional engineering talent C Enable superior experiences Upgrades, enhancements and development of new, differentiating capabilities: • Digital Banking • Wealth Management • Treasury Management • Data • Marketing / CRM • AI • Process automation 40 – 50% 50 – 60% +20% FTE We plan to increase technology FTE by up to 20% over the next two years with a focus on: • Data • Cloud • Digital • Cybersecurity “Change the bank” “Run the bank”
Testing or planning AIDetail: Names an areaProcess automationMarketingOperationsOtherNew this periodNew since the annual report
For example, companies which claim to offer applications and services based on artificial intelligence compete much more directly with traditional financial services companies in areas involving personal advice, including high-margin services such as financial planning and wealth management. The low-cost, high-speed nature of these “robo-advisor” services can be especially attractive to younger, less-affluent clients and potential clients, as well as persons interested in “self-service” investment management. Other industry changes, such as zero-commission securities trading offered by certain large firms, may amplify this trend.
We believe that, over the course of the technology-driven evolution of our industry which is well underway, the “winners” will be those institutions which can know their clients and make those clients feel they are known, even when many clients increasingly do not visit banking centers or have face-to-face live interaction. Two keys to achieving a psychological connection with such clients are (1) data management and analytics, using artificial intelligence processes, which allow an institution to provide a differentiated, personalized experience for the client at the point of interaction, and (2) seamless integration of real-time client contact with a human being through voice, chat, or other means.