America’s Oldest Bank Bets Big On AI

Key Concepts

• Digital Employees: Software bots at BNY Mellon designed to handle specific, repetitive tasks. Distinct from AI agents as they are intended for long-term, consistent roles.
• Eliza: BNY Mellon’s internal AI platform integrating various AI models with firm data for employee training and application development.
• AI Literacy: The firm’s focus on equipping all employees with understanding and skills to utilize AI tools.
• AI Boot Camp: Intensive 40-hour training program for non-engineers to identify and implement AI solutions within their roles.
• Return on Investment (ROI) in AI: A currently unclear metric for BNY Mellon and the wider banking industry, despite significant investment.

BNY Mellon’s Integration of Digital Employees and AI: A Deep Dive

Introduction & The Rise of Digital Employees

BNY Mellon, America’s oldest bank, is deploying 134 “digital employees” – software bots – to automate tasks previously performed by humans. These digital employees operate with dedicated logins and communicate with human managers through platforms like Teams and email. Crucially, BNY distinguishes them from “agentic solutions” (freelance AI) which are project-based, whereas digital employees are designed for sustained, ongoing roles.

Operational Implementation & Task Automation

Rachel Lewis, a manager overseeing nine digital employees, demonstrates their practical application in payment processing. BNY handles $2.5 to $3 trillion in daily settlements, and digital employees are actively involved in identifying and correcting errors. An example cited involves a missing country code in a payment, which the digital employee autonomously rectified – a task previously consuming human employee time. The focus is on automating highly specific, repetitive tasks, freeing human employees for more complex and engaging work.

Workforce Transformation & Upskilling

This automation is occurring alongside a reduction in BNY’s human workforce, from approximately 53,000 to 48,000 employees. However, the company isn’t simply replacing humans with machines. A core strategy is “upskilling” the existing workforce through AI literacy training. This is facilitated by “Eliza,” an internal platform named in tribute to Alexander Hamilton’s wife, integrating various AI models with the firm’s internal data and compliance systems. 99% of BNY’s employees have completed a 10-hour Eliza training program.

Internal AI Capabilities & Performance Testing

The video showcases a demonstration of Eliza through a personal agent named “Peggy,” tasked with research and question preparation. A playful test reveals Peggy’s lack of bias towards BNY when asked to identify the leading firm in financial services AI. BNY invested nearly $4 billion in technology in 2025, representing 19% of its total revenue – the highest proportion among its large bank peers. However, the firm acknowledges the difficulty in quantifying the return on investment (ROI) from these AI expenditures, describing the current approach as “spraying and praying.”

Industry Context & Potential for Growth

Goldman Sachs research identifies BNY Mellon as a prime beneficiary of AI adoption due to its high labor costs amenable to automation, projecting a potential 19% earnings upside. This drives BNY’s “all-in” approach to AI implementation. The video highlights the broader “AI arms race” within the banking sector, emphasizing that success isn’t solely defined by spending but by achieving tangible results.

The AI Boot Camp & Employee-Driven Innovation

BNY’s AI Boot Camp is a 40-hour intensive training program primarily targeted at non-engineering employees. The goal is to empower employees to identify opportunities for automation within their own workflows. Ashoke Cherion, a firm attorney, exemplifies this, developing an AI agent to generate contract negotiation playbooks, reducing the creation time from six to seven hours to approximately 30 minutes. BNY aims to train 15,000 employees through the boot camp in the current year and currently has 160 AI solutions in production. The firm emphasizes that valuable AI ideas will originate from practitioners within the business, not solely from technology and engineering teams.

Addressing Concerns & Future Outlook

The video acknowledges the natural anxieties surrounding job security in the face of automation. However, BNY reframes the narrative, emphasizing “unlocking productivity” and enabling employees to focus on higher-value tasks. The firm envisions a future where humans and machines collaborate, a pattern consistent with its historical adaptation to new technologies throughout its centuries-long existence.

Notable Quote:

“There's an AI arms race. The banks are part of that. But you don't define success by who spends the most. You define success by who has the best results.” – Commentator, highlighting the importance of outcomes over investment.

Technical Terms:

• Agentic Solutions: AI systems designed for specific, short-term tasks, often functioning as independent contractors.
• AI Literacy: Understanding of AI concepts, capabilities, and limitations, enabling effective utilization of AI tools.
• ROI (Return on Investment): A performance measure used to evaluate the efficiency of an investment.
• Russell 1000: A stock market index representing approximately 98% of the investable U.S. equity market.

Logical Connections:

The video progresses logically from introducing the concept of digital employees to detailing their implementation, the accompanying workforce transformation, and the broader industry context. It then focuses on the internal initiatives driving AI adoption, addressing potential concerns, and concluding with a forward-looking perspective. The examples of payment processing and contract playbook generation effectively illustrate the practical benefits of AI automation.

Data & Statistics:

• $2.5 - $3 trillion: Daily settlement volume handled by BNY Mellon.
• 48,000: Current number of human employees at BNY Mellon.
• 53,000: Number of human employees a few years ago.
• $4 billion: Technology spending in 2025.
• 19%: Proportion of total revenue allocated to technology.
• 99%: Percentage of employees completing Eliza training.
• 40 hours: Duration of the AI Boot Camp.
• 160: Number of AI solutions currently in production.
• 19%: Projected earnings upside for BNY Mellon due to AI adoption (Goldman Sachs research).

Synthesis/Conclusion:

BNY Mellon is strategically integrating digital employees and AI to enhance efficiency, reduce costs, and empower its workforce. The firm’s approach prioritizes upskilling employees through AI literacy training and fostering innovation from within. While the ROI of AI investments remains unclear, BNY’s significant financial commitment and proactive initiatives position it as a key player in the evolving landscape of financial technology. The emphasis on human-machine collaboration suggests a future where AI augments, rather than replaces, human expertise.