Quarterly report
BNY quarterly report filed 31 Jul 2026
SEC EDGAR
Reporting period ended 30 Jun 2026
No explicit AI or machine-learning disclosure was found in this results document.
Results intelligence · Bank · North America
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BK
BNY
A reporting-period timeline of the company’s AI and machine-learning disclosures, grounded in official investor materials and exact source excerpts.
Risk and governanceInvestment and spendData and platformsTalent and operating modelProducts and use casesAI strategyPartners and vendors
Reporting history
AI disclosures by reporting period
Documents with no explicit AI/ML evidence are shown as such. Silence is not interpreted as inactivity.
Primary source
Earnings release
BNY: arrow_forward
www.bny.com investor relations
Reporting period ended 30 Jun 2026
No explicit AI or machine-learning disclosure was found in this results document.
Earnings release
BNY results filing filed 15 Jul 2026
SEC EDGAR
Reporting period ended 15 Jul 2026
BNY's quarterly disclosure highlights that its artificial intelligence initiatives, along with their timing, implementation, and benefits, are subject to several operational and regulatory factors. These dependencies include third-party and vendor relationships, data availability and quality, evolving supervisory expectations, and the ability to scale capabilities within appropriate governance frameworks.
Risk and governanceDirection not stated
Risk factors and dependencies affecting artificial intelligence initiatives
BNY disclosed that the timing, implementation, efficacy, and expected benefits of its artificial intelligence initiatives are subject to multiple dependencies. These include third-party and vendor reliance, data availability and quality, changing legal and regulatory expectations, client and employee adoption, and the firm's capacity to deploy and scale capabilities with proper governance and control environments.
“Statements about our artificial intelligence initiatives, including the timing, implementation, efficacy and expected benefits, are subject to various factors, including third-party and vendor dependencies, the availability, usability and quality of data, evolving legal, regulatory and supervisory expectations, employee and client adoption, and our ability to deploy, monitor and scale such capabilities with appropriate governance and in an effective control environment.”
Context: Forward-looking statements disclaimer, BNY results filing filed 15 Jul 2026
Earnings release
BNY: arrow_forward
www.bny.com investor relations
Reporting period ended 30 Jun 2026
No explicit AI or machine-learning disclosure was found in this results document.
Investor presentation
BNY: arrow_forward
www.bny.com investor relations
Reporting period ended 30 Jun 2026
BNY's disclosures from its quarterly reporting period highlight artificial intelligence as a strategic investment area. The company notes that its AI initiatives are subject to multiple risks and operational dependencies, including data quality, regulatory expectations, and vendor relationships. These factors could impact the timing, implementation, and overall efficacy of their deployment.
Risk and governanceDirection not stated
AI initiatives subject to operational and regulatory dependencies
BNY disclosed that the execution, timing, and efficacy of its artificial intelligence initiatives depend on various factors, including data quality, vendor dependencies, evolving regulations, employee and client adoption, and effective governance controls.
“Statements about our artificial intelligence initiatives, including the timing, implementation, efficacy and expected benefits, are subject to various factors, including third-party and vendor dependencies, the availability, usability and quality of data, evolving legal, regulatory and supervisory expectations, employee and client adoption, and our ability to deploy, monitor and scale such capabilities with appropriate governance and in an effective control environment.”
Context: Forward-looking statements risk factors
Investment and spendDirection not stated
AI identified as key technology investment area
The corporation identified investments in artificial intelligence and digital assets alongside technology and product development as key areas subject to forward-looking strategic planning.
“investments, including in technology and product development, innovation in products and services, artificial intelligence, digital assets, client experience, strategic priorities and initiatives”
Context: Forward-looking statements risk factors
Quarterly report
BNY quarterly report filed 1 May 2026
SEC EDGAR
Reporting period ended 31 Mar 2026
No explicit AI or machine-learning disclosure was found in this results document.
Investor presentation
BNY: arrow_forward
www.bny.com investor relations
Reporting period ended 31 Mar 2026
BNY continues to evolve its AI capabilities through its AI platform 'Eliza' and the BNY AI Hub established in 2023. In 2025, the firm expanded Eliza's governance and control capabilities, including a single pane of glass for enterprise initiatives, and delivered 171,000 AI learning hours to its employees.
Data and platformsExpanding
Expansion of BNY Eliza AI platform capabilities
BNY expanded Eliza's governance and control capabilities, introducing a single pane of glass for enterprise AI initiatives. Eliza is a multi-agentic, general-intelligence-model-agnostic platform that integrates models from providers such as OpenAI, Google, and Anthropic.
“nded Eliza's governance and control capabilities, including a single pane of glass for enterprise AI initiatives”
Context: Evolution of AI at BNY, Section 4
Talent and operating modelExpanding
Delivery of extensive AI training hours
BNY delivered 171,000 AI learning hours in 2025 as part of its proprietary AI training and development programs, which are made available to every employee, starting with analysts during orientation.
“Delivered 171,000 AI learning hours in 2025, spanning liv”
Context: Culture, Breadth, Depth section
Products and use casesNew disclosure
Deployment of AI in Cyber, Technology and Operations Center
BNY deployed advanced monitoring, AI, and machine learning capabilities in its Cyber, Technology and Operations Center to support detection and rapid response.
“Deployed advanced monitoring, AI and machine learning in our Cyber, Technology and Operations Center for detection and rapid response”
Context: Evolution of AI at BNY, Section 4
Risk and governanceContinuing
Disclosure of dependencies and risks in AI initiatives
BNY disclosed that its AI initiatives, including their timing, implementation, efficacy, and expected benefits, are subject to risk factors such as third-party and vendor dependencies, data availability and quality, evolving legal and regulatory expectations, employee and client adoption, and control environments.
“Statements about our artificial intelligence initiatives, including the timing, implementation, efficacy and expected benefits, are subject to various factors, including third-party and vendor dependencies, the availability, usability and quality of data, evolving legal, regulatory and supervisory expectations, employee and client adoption, and our ability to deploy, monitor and scale such capabilities with appropriate governance and in an effective control environment.”
Context: Forward-looking statements disclaimer
Earnings release
BNY results filing filed 16 Apr 2026
SEC EDGAR
Reporting period ended 16 Apr 2026
BNY has advanced its AI strategy with the creation of the 'digital employee', representing multi-agentic AI solutions operating alongside human staff. In 2026, the company launched Eliza 2.0, expanded its governance capabilities, and entered a multi-year collaboration with OpenAI. BNY also focused on culture and enablement, delivering 171,000 AI learning hours in 2025.
AI strategyExpanding
BNY advances AI evolution with multi-agentic digital employees and Eliza 2.0
BNY has transitioned from founding its AI Hub in 2023 to creating 'digital employees' in 2026. These represent multi-agentic AI solutions operating alongside employees. As part of this evolution, BNY launched Eliza 2.0, an advanced agentic experience, and expanded its governance and control capabilities with a single pane of glass for enterprise AI initiatives.
“Creation of the “digital employee” – Multi-agentic AI solutions that operate alongside human colleagues • Launched Eliza 2.0, a more advanced, agentic experience”
Context: Evolution of AI at BNY chart, Evidence 1
Partners and vendorsNew disclosure
BNY enters multi-year collaboration with OpenAI
BNY has entered into a multi-year collaboration with OpenAI to support its AI evolution, building on its existing multi-agentic platform, Eliza, which integrates models from providers including OpenAI, Google, and Anthropic.
“Entered into a multi-year collaboration with OpenAI”
Context: Evolution of AI at BNY chart, Evidence 1
Risk and governanceNew disclosure
Deploying AI in Cyber, Technology and Operations Center
BNY has deployed advanced monitoring, AI, and machine learning within its Cyber, Technology and Operations Center to support threat detection and rapid response.
“Deployed advanced monitoring, AI and machine learning in our Cyber, Technology and Operations Center for detection and rapid response”
Context: Evolution of AI at BNY chart, Evidence 1
Annual report
BNY annual report filed 25 Feb 2026
SEC EDGAR
Reporting period ended 31 Dec 2025
BNY has identified the development and use of artificial intelligence as an area that presents inherent risks and challenges. The company warns that these AI-related challenges could materially and adversely affect its business, financial condition, and results of operations.
Risk and governanceContinuing
AI development and usage present material business risks
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.
“the development and use of artificial intelligence present risks and challenges that may materially adversely impact our business”
Context: Risk Factors section
Earnings release
BNY results filing filed 13 Jan 2026
SEC EDGAR
Reporting period ended 13 Jan 2026
BNY's quarterly results filing notes that future discussions may include forward-looking statements regarding its strategic priorities and technology investments. Specifically, these forward-looking statements may cover investments in artificial intelligence, digital assets, and general technology and product development.
Investment and spendDirection not stated
AI investments highlighted in forward-looking disclosures
BNY disclosed that its forward-looking statements may encompass capital plans, strategic priorities, and investments in technology, specifically highlighting artificial intelligence, digital assets, and product development innovation.
“investments, including in technology and product development, innovation in products and services, artificial intelligence, digital assets, client experience, strategic priorities and initiatives”
Context: Forward-looking statements disclaimer
Quarterly report
BNY quarterly report filed 31 Oct 2025
SEC EDGAR
Reporting period ended 30 Sept 2025
No explicit AI or machine-learning disclosure was found in this results document.
Earnings release
BNY results filing filed 16 Oct 2025
SEC EDGAR
Reporting period ended 16 Oct 2025
BNY's quarterly results filing lists artificial intelligence as a topic covered under its forward-looking statements disclaimer. The disclosure indicates that discussions may include investments in technology, product development, and innovation in products and services alongside artificial intelligence.
Investment and spendDirection not stated
Artificial intelligence identified within forward-looking statement topics
BNY identified artificial intelligence as a topic of forward-looking statements in its quarterly results discussion, alongside investments in technology, product development, and innovation in products and services.
“investments, including in technology and product development, innovation in products and services, artificial intelligence, digital assets”
Context: Forward-looking statements disclaimer section
Quarterly report
BNY quarterly report filed 1 Aug 2025
SEC EDGAR
Reporting period ended 30 Jun 2025
No explicit AI or machine-learning disclosure was found in this results document.