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Results intelligence35 institutions configured81 primary documents checkedLast checked 1 Aug, 14:32
What companies disclosed

AI strategy, investment and delivery—in companies’ own words.

Latest material disclosureBank of America
Risk factors disclosed for emerging technologies and artificial intelligence

Bank of America identified risks concerning the development, implementation, use, and management of emerging technologies, including artificial intelligence. These risks encompass the potential inability to achieve expected benefits such as increased productivity and cost savings.

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Primary-source evidence

What companies are saying about AI and machine learning

Filter the latest disclosures by institution, sector or topic. Open the evidence inside each card before following the link to the original investor material.

38 evidence-linked disclosuresNewest first
Risk and governanceContinuing
Bank of America · BAC

Risk factors disclosed for emerging technologies and artificial intelligence

Factual disclosure

Bank of America identified risks concerning the development, implementation, use, and management of emerging technologies, including artificial intelligence. These risks encompass the potential inability to achieve expected benefits such as increased productivity and cost savings.

Inspect the source evidence+
the risks related to the development, implementation, use and management of emerging technologies, including artificial intelligence and the ability to achieve expected or potential benefits, such as increased productivity and cost savings;

Context: Bank of America quarterly report filed 31 Jul 2026, risk disclosures

Quarterly reportPeriod ended 30 Jun 2026
Open primary source
Risk and governanceContinuing
The Hartford · HIG

Emerging technologies including machine learning pose competitive and claims risks

Factual disclosure

The Hartford disclosed that technological changes and advancements in emerging technologies, including machine learning, predictive analytics, big data analysis, and other artificial intelligence functions, could give competitors a competitive advantage. Furthermore, these technologies could impact the rate and severity of claims, as well as product demand.

Inspect the source evidence+
technological changes, including usage-based methods of determining premiums, advancements in certain emerging technologies, including machine learning, predictive analytics, “big data” analysis or other artificial intelligence functions, advancements in automotive safety features, the development of autonomous vehicles, and platforms that facilitate ride sharing could provide our competitors with a competitive advantage and could impact the rate and severity of claims, as well as the demand for our products

Context: Form 10-Q, forward-looking statements / risk factors section

Quarterly reportPeriod ended 30 Jun 2026
Open primary source
Risk and governanceContinuing
Travelers · TRV

Business success linked to ongoing IT and AI development

Factual disclosure

Travelers discloses that its business success and profitability are partially dependent on effective IT systems and the continuous development and implementation of technology improvements, specifically referencing artificial intelligence as processes become more digital.

Inspect the source evidence+
the Company’s business success and profitability depend, in part, on effective information technology systems and on continuing to develop and implement improvements in technology, including with respect to artificial intelligence, particularly as its business processes become more digital

Context: Technology and Intellectual Property Risks section

Quarterly reportPeriod ended 30 Jun 2026
Open primary source
AI strategyContinuing
Travelers · TRV

AI execution highlighted in corporate innovation agenda

Factual disclosure

Travelers identifies the execution of its innovation agenda with respect to artificial intelligence as a key strategic and operational initiative aimed at improving growth, profitability, and competitiveness.

Inspect the source evidence+
the Company’s competitive advantages and innovation agenda, including executing on that agenda with respect to artificial intelligence

Context: Forward-Looking Statements section

Quarterly reportPeriod ended 30 Jun 2026
Open primary source
Risk and governanceContinuing
Travelers · TRV

AI and technological change flagged as competitive risks

Factual disclosure

The company notes that intense market competition, coupled with the impact of innovation and technological change, including artificial intelligence, could negatively impact its business volumes and profitability.

Inspect the source evidence+
the intense competition that the Company faces, including with respect to attracting and retaining employees, and the impact of innovation, technological change, including with respect to artificial intelligence, and changing customer preferences on the insurance industry and the markets in which it operates, could harm its ability to maintain or increase its business volumes and its profitability

Context: Business and Operational Risks section

Quarterly reportPeriod ended 30 Jun 2026
Open primary source
Risk and governanceContinuing
Bank of America · BAC

AI and emerging technologies identified as key operational risks

Factual disclosure

Bank of America disclosed risks associated with the development, implementation, use, and management of emerging technologies like artificial intelligence. These risks could potentially impact the bank's ability to achieve expected benefits, including cost savings and increased productivity.

Inspect the source evidence+
the risks related to the development, implementation, use and management of emerging technologies, including artificial intelligence and the ability to achieve potential benefits, such as increased productivity and cost savings;

Context: Bank of America quarterly report, page 2

Quarterly reportPeriod ended 31 Mar 2026
Open primary source
Risk and governanceContinuing
The Hartford · HIG

Emerging technologies and AI pose competitive and claim-related risks

Factual disclosure

The company disclosed that advancements in emerging technologies, including machine learning, predictive analytics, and other artificial intelligence functions, could provide competitors with a competitive advantage and impact both product demand and the rate and severity of claims.

Inspect the source evidence+
technological changes, including usage-based methods of determining premiums, advancements in certain emerging technologies, including machine learning, predictive analytics, “big data” analysis or other artificial intelligence functions, advancements in automotive safety features, the development of autonomous vehicles, and platforms that facilitate ride sharing could provide our competitors with a competitive advantage and could impact the rate and severity of claims, as well as the demand for our products

Context: Forward-looking statements / Risk factors section

Quarterly reportPeriod ended 31 Mar 2026
Open primary source
Data and platformsExpanding
Travelers · TRV

Business success and profitability tied to continuing AI implementation

Factual disclosure

The company discloses that its business success and profitability depend on effective information technology systems and continuing to develop and implement technology improvements, specifically referencing artificial intelligence.

Inspect the source evidence+
the Company’s business success and profitability depend, in part, on effective information technology systems and on continuing to develop and implement improvements in technology, including with respect to artificial intelligence, particularly as its business processes become more digital;

Context: Technology and Intellectual Property Risks, Risk Factors

Quarterly reportPeriod ended 31 Mar 2026
Open primary source
AI strategyContinuing
Travelers · TRV

AI included in strategic innovation agenda and forward-looking statements

Factual disclosure

Travelers identifies the execution of its innovation agenda with respect to artificial intelligence as an area containing forward-looking strategic and operational initiatives designed to improve growth, profitability, and competitiveness.

Inspect the source evidence+
the Company’s competitive advantages and innovation agenda, including executing on that agenda with respect to artificial intelligence;

Context: Forward-Looking Statements, Risk Factors

Quarterly reportPeriod ended 31 Mar 2026
Open primary source
Risk and governanceContinuing
Travelers · TRV

Technological changes in AI posed as competitive and operational risks

Factual disclosure

Travelers notes that intense competition, technological changes including those related to AI, and changing customer preferences could harm its ability to maintain business volumes and profitability.

Inspect the source evidence+
the impact of innovation, technological change, including with respect to artificial intelligence, and changing customer preferences on the insurance industry and the markets in which it operates, could harm its ability to maintain or increase its business volumes and its profitability;

Context: Business and Operational Risks, Risk Factors

Quarterly reportPeriod ended 31 Mar 2026
Open primary source
Risk and governanceExpanding
Goldman Sachs · GS

Compliance with E.U. Artificial Intelligence Act regulatory provisions

Factual disclosure

The firm is subject to the E.U. Artificial Intelligence Act, which became effective in 2024. Its provisions apply in a staggered manner from February 2025, with further provisions rolling out between August 2025 and August 2027.

Inspect the source evidence+
Certain provisions of the E.U. AI Act apply from February 2025, with other provisions applying between August 2025 and August 2027. The E.U. AI Act establishes rules for placing on the market, putting into service, and using artificial intelligence systems in the E.U.

Context: Annual Report 2025, Regulatory Developments section

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceContinuing
BNY · BK

AI development and usage present material business risks

Factual disclosure

BNY disclosed that the development and use of artificial intelligence introduces risks and challenges that could potentially have a material adverse impact on its business.

Inspect the source evidence+
the development and use of artificial intelligence present risks and challenges that may materially adversely impact our business

Context: Risk Factors section

Annual reportPeriod ended 31 Dec 2025
Open primary source
AI strategyContinuing
Goldman Sachs · GS

Monitoring of AI opportunities and challenges

Factual disclosure

Goldman Sachs tracks and evaluates the business implications, opportunities, and challenges presented by artificial intelligence in the context of its strategic plans.

Inspect the source evidence+
the opportunities and challenges presented by artificial intelligence (AI)

Context: Annual Report 2025, Forward-looking statements

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceContinuing
Bank of America · BAC

Evolving AI regulations impose new governance and compliance obligations

Factual disclosure

Bank of America faces rapidly evolving AI-related laws, rules, and regulations in both U.S. and international jurisdictions, requiring adherence to obligations like governance, risk management, and restrictions on AI use.

Inspect the source evidence+
Artificial intelligence-related (AI) LRRs are also rapidly evolving in the U.S. and non-U.S. jurisdictions imposing various obligations, including AI governance and risk management, transparency and consumer disclosures, documentation and reporting requirements, AI use restrictions and enhanced compliance obligations for AI systems, including those categorized as high risk.

Context: Item 1, Business - Regulatory Matters

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceContinuing
Truist · TFC

Malicious actors leverage generative AI to escalate cybersecurity threats

Factual disclosure

Truist expects to continue being targeted by cybersecurity threats with increasing frequency and severity, driven in part by malicious actors utilising machine learning and generative AI to conduct advanced social engineering attacks, such as targeted phishing and smishing.

Inspect the source evidence+
advances in AI, such as the use of machine learning, generative AI, and quantum computing by malicious actors to develop more advanced social engineering attacks on the Company or its clients, including targeted phishing and smishing attacks

Context: Part I, Item 1A. Risk Factors

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceContinuing
Truist · TFC

AI models and datasets present inherent quality, transparency, and legal risks

Factual disclosure

Truist acknowledges that its internal or third-party AI implementations face risks of being flawed, biased, or lacking transparency. Furthermore, evolving regulatory and legal frameworks around data rights, intellectual property, and privacy present compliance risks if the bank lacks sufficient rights to the datasets or models utilised.

Inspect the source evidence+
that models, prompts, algorithms, and datasets, as well as related decisions, predictions, analysis, and other output, are flawed, inaccurate, of poor quality, insufficient, biased, or otherwise erroneous or inadequate, any of which may not be easily detectable. In addition, the models and processes relating to AI are not always transparent, which could increase the risk of unintended deficiencies.

Context: Part I, Item 1A. Risk Factors

Annual reportPeriod ended 31 Dec 2025
Open primary source
Talent and operating modelNew disclosure
U.S. Bancorp · USB

Launch of AI Essentials Channel for employee training

Factual disclosure

The company introduced an 'AI Essentials Channel' on its Skills Academy platform to help employees build skills for using company-approved artificial intelligence tools in their daily operations.

Inspect the source evidence+
The Company also launched an “AI Essentials Channel” on Skills Academy, which is designed to help team members build skills in effectively using Company-approved artificial intelligence tools in their daily work.

Context: Annual report for the period ended 31 December 2025, employee development section

Annual reportPeriod ended 31 Dec 2025
Open primary source
Products and use casesExpanding
The Hartford · HIG

AI deployed across multiple business segments to optimize underwriting and quoting

Factual disclosure

The Hartford is leveraging AI and data analytics across its Middle & Large Business and Global Specialty segments to enhance risk selection, pricing decisions, efficiency, and to shorten quoting times. This complements its automated quoting tool, ICON, which already quotes over 75% of new small business policies from admitted markets without human intervention.

Inspect the source evidence+
Within this competitive environment, The Hartford is continuing to invest in its underwriting systems and capabilities, including investing in speed to market solutions, enhancing its digital experience, leveraging its sales and underwriting talent and expanding its use of data analytics, artificial intelligence capabilities and third party data to make expert risk selection and pricing decisions as the firm pursues responsible growth strategies to deliver target returns.

Context: Middle & Large Business segment operational review

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceExpanding
PNC · PNC

AI and machine learning models present interpretability and regulatory challenges

Factual disclosure

PNC is increasingly employing AI and machine learning algorithms for internal process automation and customer operations. Though these currently represent a minority of PNC's overall models, they are less interpretable than traditional models and face complex regulatory constraints across intellectual property, privacy, and consumer protection laws.

Inspect the source evidence+
Although it currently impacts a minority of the overall number of models that we use, we increasingly use models related to how we do business with customers and for internal process automation that leverage AI/machine learning algorithms. These models can be more predictive, but because of the complex way in which the many variables in AI/machine learning models interact, the results of these models are often less interpretable than traditional statistical models.

Context: Risk Factors, PNC 2025 Form 10-K

Annual reportPeriod ended 31 Dec 2025
Open primary source
AI strategyExpanding
The Hartford · HIG

AI acceleration integrated as a core enterprise priority

Factual disclosure

The Hartford has identified accelerating artificial intelligence enablement as one of its key enterprise priorities to deliver faster and smarter outcomes across its business lines.

Inspect the source evidence+
Accelerating artificial intelligence enablement and responsibly leveraging data, analytics, and digital capabilities to deliver smarter, faster outcomes across the businesses;

Context: Priority description under the company's value creation strategy

Annual reportPeriod ended 31 Dec 2025
Open primary source
Client demandDirection not stated
The Hartford · HIG

Workplace automation and AI adoption may reduce insurance product demand

Factual disclosure

The Hartford discloses that the increased adoption of advanced analytics, such as artificial intelligence, and automation in the workplace could potentially lower future demand for its workers' compensation and employee benefits products.

Inspect the source evidence+
Increased use of advanced analytics (e.g., artificial intelligence) and automation in the workplace could potentially affect the demand for workers' compensation and employee benefits products over time.

Context: Risk Factors section

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceExpanding
The Hartford · HIG

AI adoption increases data privacy, security, and operational disruption risks

Factual disclosure

The Hartford flags several operational and governance risks linked to AI, including potential system disruptions during technology updates, inadvertent disclosures of confidential information by the company or its third-party partners, and the compounding complexity of cyber risks as vendors integrate AI into their platforms.

Inspect the source evidence+
Use of artificial intelligence by us or by such third parties could also result in inadvertent disclosure of our confidential information.

Context: Risk Factors section regarding data privacy and third-party dependencies

Annual reportPeriod ended 31 Dec 2025
Open primary source
AI strategyExpanding
PNC · PNC

PNC invests in artificial intelligence and machine learning to drive automation

Factual disclosure

PNC is expanding its technology investment in response to changing customer expectations and competitive pressures. The bank identifies the expanded use of artificial intelligence and machine learning as a key element of the rapid technological change occurring across the financial services industry.

Inspect the source evidence+
Examples include expanded use of cloud computing, artificial intelligence (AI) and machine learning, biometric authentication, voice and natural language, data privacy and security enhancements and increased online and mobile device interaction with customers, including innovative ways that customers can manage their accounts.

Context: Risk Factors, PNC 2025 Form 10-K

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceContinuing
The Hartford · HIG

Emerging state and federal AI regulations present compliance uncertainty

Factual disclosure

Legislative and regulatory efforts in the United States concerning artificial intelligence, data privacy, and cybersecurity present unanticipated compliance risks that could impact the company's business operations and financial results.

Inspect the source evidence+
For example, federal and state legislative efforts on Paid Family and Medical Leave, artificial intelligence, data privacy and cyber security, risk-based pricing, and sustainability practices could have unanticipated consequences for the Company and its businesses.

Context: Discussion of legal and regulatory compliance risks

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceContinuing
PNC · PNC

Automation and AI mitigate human error but introduce data quality dependencies

Factual disclosure

PNC utilises machine learning, AI, and robotic process automation tools to decrease risks associated with human error. However, these systems depend heavily on high-quality training data, as poor or anomalous data can negatively impact their operations.

Inspect the source evidence+
We use automation, machine learning, AI and robotic process automation tools to help reduce some risks of human error.

Context: Risk Factors, PNC 2025 Form 10-K

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceDirection not stated
PNC · PNC

Generative AI and deepfakes escalate cyber security threats

Factual disclosure

PNC warns that cyber attacks and security breaches targeting both the bank and its customers are growing rapidly in sophistication, driven specifically by malicious uses of generative AI and deepfakes.

Inspect the source evidence+
The techniques used in cyber attacks and breaches change rapidly and are increasingly sophisticated, including through the use of generative AI and deepfakes, and we expect in the future through the use of quantum computing, and we may not be able to anticipate cyber attacks or other data security breaches.

Context: Risk Factors, PNC 2025 Form 10-K

Annual reportPeriod ended 31 Dec 2025
Open primary source
Investment and spendExpanding
Travelers · TRV

Travelers invests in AI and digital capabilities for claims handling

Factual disclosure

Travelers has directed additional resources towards its claims handling operations, specifically investing in digital, analytics, artificial intelligence, and automation capabilities to optimize outcomes, cost, and service.

Inspect the source evidence+
In recent years, the Company has invested significant additional resources in many of its claims handling operations, including digital, analytics, artificial intelligence and automation capabilities.

Context: Item 1, Claims Management section

Annual reportPeriod ended 31 Dec 2025
Open primary source
AI strategyContinuing
Travelers · TRV

AI identified as a core component of competitive strategy and system development

Factual disclosure

The company's competitive position and long-term business success depend on keeping pace with technological changes, including the cost-effective deployment and incorporation of artificial intelligence and machine learning to collect and analyse data for underwriting and business processes.

Inspect the source evidence+
Our business success and profitability depend, in part, on effective information technology systems and on continuing to develop and implement improvements in technology, including artificial intelligence, particularly as our business processes become more digital.

Context: Item 1A, Technology and Intellectual Property Risks

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceContinuing
Travelers · TRV

AI adoption presents underwriting, liability, and operational cyber risks

Factual disclosure

The rapid evolution and use of AI introduce operational risks, such as algorithmic underwriting scrutiny by regulators, threat actors leveraging AI for sophisticated cyber-attacks, and potential unforeseen liabilities or claims fraud.

Inspect the source evidence+
In addition, new technology, such as artificial intelligence, could create unforeseen exposures or coverage issues under the policies we write and aggravate claims fraud and cybercrime.

Context: Item 1A, Business and Operational Risks

Annual reportPeriod ended 31 Dec 2025
Open primary source
Talent and operating modelContinuing
Travelers · TRV

Intense competition for specialized AI and technology talent

Factual disclosure

Travelers faces strong competition within and outside the property and casualty insurance industry for qualified personnel with highly specialized knowledge in areas such as underwriting, data and analytics, technology, claims, and artificial intelligence.

Inspect the source evidence+
There is significant competition from within the property and casualty insurance industry and from businesses outside the industry for qualified employees, especially those in key positions and those possessing highly specialized knowledge in areas such as underwriting, data and analytics, technology, claims and artificial intelligence.

Context: Item 1A, Business and Operational Risks

Annual reportPeriod ended 31 Dec 2025
Open primary source
Risk and governanceDirection not stated
RBC · RY

Emerging technology adoption risks include AI and generative AI

Factual disclosure

RBC identified risks associated with the adoption of emerging technologies, specifically naming artificial intelligence, generative AI, and robotics, as factors that could cause actual results to differ materially from forward-looking statements.

Inspect the source evidence+
risks associated with the adoption of emerging technologies, such as cloud computing, artificial intelligence (AI), including generative AI (GenAI), and robotics

Context: Caution Regarding Forward-Looking Statements section

Annual reportPeriod ended 31 Oct 2025
Open primary source
Productivity and efficiencyExpanding
Citi · C

Generative AI tools accelerate developer productivity and usage volume

Factual disclosure

Citi expanded its adoption of Generative AI tools, resulting in approximately 7 million utilizations across its two enterprise-wide tools year-to-date, a threefold increase from the previous quarter. Additionally, the tools completed approximately 1 million automated code reviews, saving an estimated 100,000 hours per week for its developers.

Inspect the source evidence+
Adoption continues to accelerate, with approximately 7 million utilizations of Citi’s two enterprise-wide tools year-to-date (approximately three times increase versus previous quarter) ◦ Approximately 1 million automated code reviews completed by Citi’s Generative AI tools year-to-date, saving approximately 100,000 hours per week across Citi’s developer population

Context: Citi quarterly report, technology priorities update

Quarterly reportPeriod ended 30 Sept 2025
Open primary source
Risk and governanceContinuing
State Street · STT

Operational integration of artificial intelligence may negatively impact business resilience

Factual disclosure

The corporation highlighted that risks associated with strategic initiatives to enhance operational effectiveness, including the adoption or integration of new technologies like artificial intelligence, could negatively affect the business if they fail to meet client or regulatory expectations.

Inspect the source evidence+
Our business may be negatively affected by risks associated with strategic initiatives we are undertaking to enhance the effectiveness, including the adoption or integration of new technologies such as artificial intelligence, and efficiency of our operations and of our cybersecurity and technology infrastructure or by our failure to meet the related, resiliency or other expectations of our clients and regulators

Context: Management's Discussion and Analysis of Financial Condition, Operational and Technology Risks section

Quarterly reportPeriod ended 30 Sept 2025
Open primary source
Risk and governanceContinuing
State Street · STT

Product development incorporating artificial intelligence poses strategic and operational risks

Factual disclosure

State Street disclosed that the development and completion of new products and services incorporating artificial intelligence may impose costs, involve dependencies on third parties, and expose the company to increased risks.

Inspect the source evidence+
Our development and completion of new products and services, including State Street Alpha ® and those related to wealth servicing, alternative investment management or digital assets or incorporating artificial intelligence, may impose costs on us, involve dependencies on third parties and may expose us to increased risks

Context: Management's Discussion and Analysis of Financial Condition, Strategic Risks section

Quarterly reportPeriod ended 30 Sept 2025
Open primary source
Risk and governanceContinuing
BlackRock · BLK

Generative AI tools used by malicious actors elevate cyber risks

Factual disclosure

The advancement of technology, specifically generative AI used by threat actors, and the firm's own use of process automation and AI, heightens existing operational, security, and cyber-attack risks.

Inspect the source evidence+
Advances in technology, including generative AI, and use of such technology by malicious actors could heighten these risks.

Context: BlackRock Annual Report 2023, Risk Factors - Cybersecurity

Annual reportPeriod ended 31 Dec 2023
Open primary source
Risk and governanceContinuing
BlackRock · BLK

AI deployment introduces complex operational and regulatory risks

Factual disclosure

The rapid evolution of AI methods poses risks including regulatory scrutiny, IP litigation, data leakage, and potential operational errors due to biased or factually inaccurate outputs from AI systems.

Inspect the source evidence+
AI technologies, including generative AI, may create content that appears correct but is factually inaccurate or flawed.

Context: BlackRock Annual Report 2023, Risk Factors

Annual reportPeriod ended 31 Dec 2023
Open primary source
Productivity and efficiencyExpanding
BlackRock · BLK

Investment in Aladdin AI copilots to enhance platform value

Factual disclosure

BlackRock is investing in Aladdin AI copilots and openness features to support ecosystem partnerships and deliver a more tailored end-to-end user experience.

Inspect the source evidence+
Investments in Aladdin AI copilots, enhancements in openness supporting ecosystem partnerships, and advancing whole portfolio solutions including private markets and digital assets are expected to further augment the value of using Aladdin.

Context: BlackRock Annual Report 2023, Technology Platform and Distribution Section

Annual reportPeriod ended 31 Dec 2023
Open primary source
AI strategyExpanding
BlackRock · BLK

BlackRock plans to expand its AI capabilities, including generative AI

Factual disclosure

BlackRock utilizes machine learning and AI within its business operations and intends to continue expanding these capabilities, specifically highlighting the inclusion of generative AI.

Inspect the source evidence+
BlackRock uses machine learning and AI in its business and expects to continue to expand its AI capabilities, including through generative AI.

Context: BlackRock Annual Report 2023, Risk Factors

Annual reportPeriod ended 31 Dec 2023
Open primary source
90 days versus prior 90 days

What changed across reporting periods

This is a disclosure-frequency comparison, not a performance score. It becomes more useful as the reporting history accumulates.

competitive threat1 now · 0 prior

1 more source-backed mention than the prior period.

risk management4 now · 4 prior

Mention frequency is unchanged.

productivity1 now · 1 prior

Mention frequency is unchanged.

emerging technologies1 now · 1 prior

Mention frequency is unchanged.

corporate strategy1 now · 1 prior

Mention frequency is unchanged.

innovation1 now · 1 prior

Mention frequency is unchanged.

competition1 now · 1 prior

Mention frequency is unchanged.

digital transformation1 now · 1 prior

Mention frequency is unchanged.

3 market groups

Company coverage

Open a company’s OneBench evidence timeline or go directly to its official investor-relations centre.

Bank · North AmericaJPM

JPMorgan Chase

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · North AmericaBAC

Bank of America

Risk factors disclosed for emerging technologies and artificial intelligence

Bank · North AmericaWFC

Wells Fargo

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · North AmericaGS

Goldman Sachs

Compliance with E.U. Artificial Intelligence Act regulatory provisions

Bank · North AmericaMS

Morgan Stanley

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · North AmericaSTT

State Street

Product development incorporating artificial intelligence poses strategic and operational risks

Bank · North AmericaCOF

Capital One

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · North AmericaPNC

PNC

AI and machine learning models present interpretability and regulatory challenges

Bank · UKBCS

Barclays

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · UKHSBC

HSBC

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · UKLLOY

Lloyds Banking Group

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · UKNWG

NatWest Group

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · UKSTAN

Standard Chartered

Official investor-relations centre linked; automated document extraction is being established for this issuer.

Bank · EuropeUBS

UBS

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · EuropeDB

Deutsche Bank

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · EuropeING

ING

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · EuropeSAN

Santander

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · North AmericaTD

TD

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Bank · North AmericaBMO

BMO

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Asset manager · North AmericaBLK

BlackRock

AI deployment introduces complex operational and regulatory risks

Insurer · North AmericaAIG

AIG

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Insurer · North AmericaPRU

Prudential Financial

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Insurer · North AmericaHIG

The Hartford

Emerging technologies including machine learning pose competitive and claims risks

Insurer · GlobalCB

Chubb

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Insurer · North AmericaMET

MetLife

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Insurer · North AmericaMFC

Manulife

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Insurer · UKPRU

Prudential plc

Primary regulatory filings are checked automatically; the official investor-relations centre remains the canonical results index.

Insurer · UKAV

Aviva

Official investor-relations centre linked; automated document extraction is being established for this issuer.

Insurer · UKLGEN

Legal & General

Official investor-relations centre linked; automated document extraction is being established for this issuer.

Methodology

Evidence before opinion

A daily collection process checks official filings and investor centres. Results releases, quarterly and annual reports, presentations and published call transcripts are retained when they contain AI or machine-learning evidence.

01Collect primary material

Official regulatory filings and company investor-relations links are the source of record. Third-party transcript summaries are not treated as primary evidence.

02Extract exact evidence

AI/ML passages are isolated, consolidated and classified. Every displayed finding must retain a verbatim quote that matches the fetched document.

03Compare disclosure, not performance

Change analytics show what companies disclosed more or less often. They do not claim investment success, financial return or implementation quality.