How to read this · Hiring themes aggregate a point-in-time census of evidence-matched public vacancies; individual vacancies are intentionally not shown. Disclosures come from official investor materials. News is retained source coverage mentioning the organisation—not a claim of activity by itself.
Hiring intelligence
What the hiring portfolio indicates
A thematic view of the capabilities, functions and workforce mix visible across the latest careers census. Counts show how many evidence-matched vacancies contributed to each theme.
Leading build themes
Risk, governance & responsible AI6
Data foundations & analytics2
Where demand sits
Risk, controls & compliance6
Data & analytics5
Customer, product & propositions4
People, legal & corporate functions4
Cross-functional & other2
Markets, investment & treasury2
Workforce mix
AI product & strategy6
Model risk & responsible AI6
Data science & applied research4
AI/ML engineering3
Data engineering & architecture3
AI platform & MLOps1
Named technology signals
No classified evidence
Disclosures
What the organisation has said about AI
Source-linked findings from official filings, investor presentations and published calls.
Risk and governanceRisk and controlExplicit
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.”
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”
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.”
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”
Talent and operating modelEnabling foundationsExplicit
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”
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”
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.”
BNY continues investment in AI and technology integration
BNY disclosed that it is investing in AI, new products, capabilities, and its workforce, while adopting and integrating new technologies to create differentiated client solutions.
“We delivered over 800 basis points of positive operating leverage, while investing in new products, capabilities, AI, and – critically – our people and culture.”
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”
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”
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”
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”
25 Feb 2026 · BNY annual report filed 25 Feb 2026Open evidence
Related intelligence
AI news and external evidence
Latest retained reporting that names the organisation. These are linked observations, kept separate from official company disclosures.