In 2026, BNY Mellon — one of the oldest banks in the United States — is reinventing itself for the digital era by investing billions of dollars in advanced technology. According to reports, the bank now spends roughly $5 billion annually on tech, including AI, cloud computing, and digital infrastructure.
Rather than simply maintaining legacy systems, BNY is transforming its workforce and operations by deploying AI-powered digital employees, running company-wide AI bootcamps, and building a new infrastructure that treats technology as the core engine of its business.
What Are “Digital Employees” at BNY Mellon?
BNY Mellon is pioneering a new type of workforce that blends human and AI capabilities.
Digital employees are advanced AI agents that can:
• Process complex financial data
• Handle routine client inquiries
• Reconcile transactions
• Perform compliance checks
These digital workers are not basic bots — they operate alongside human teams to execute multi-step operational tasks, freeing staff to focus on higher-value analytical and strategic work.
How AI Bootcamps Are Training the Workforce
To ensure its people stay ahead, BNY Mellon has implemented large-scale AI bootcamp training programs for employees across departments. These bootcamps aim to:
✔ Teach staff how to leverage AI tools
✔ Upskill human teams for modern financial operations
✔ Integrate AI fluency into everyday work
✔ Enable employees to build and use AI solutions
Rather than viewing AI as a threat, the bank emphasizes augmentation — positioning digital employees and trained human staff as collaborators.
BNY’s enterprise AI platform — named Eliza — empowers workers across roles to experiment with and build AI tools, driving adoption and empowering employees to create real business value.
Where AI Is Used in Bank Operations
AI in Transaction Processing
Improves accuracy and reduces human error.
AI in Compliance & Risk
Monitors regulations and flags irregularities.
AI in Client Services
Speeds up responses and enhances personalization.
AI in Strategy & Analytics
Extracts insights from massive financial datasets.
BNY’s investments go beyond AI agents — the bank is modernizing cloud infrastructure, APIs, and cybersecurity systems to support next-generation finance.
AI vs Traditional Banking Tech
| Feature | Traditional Banking | AI-Driven Banking |
|---|---|---|
| Manual workflows | Yes | No |
| Real-time insights | Limited | Yes |
| Automation | Partial | Extensive |
| AI learning | No | Yes |
| Workforce efficiency | Medium | Very High |
How U.S. Banks & Employees Can Stay Ahead
To thrive in this new AI era, banks in the USA should:
✔ Build internal AI training programs
✔ Deploy secure cloud infrastructure
✔ Integrate AI into daily operations
✔ Focus on hybrid human + AI teamwork
✔ Strengthen cybersecurity and data governance
👉 Read more about how AI reshapes the future of jobs in the United States:
The Future of Banking in the USA
By 2027 and beyond:
• AI agents will handle even more back-office tasks
• Banks will blend tech and finance expertise at scale
• Human roles become highly strategic
• Financial services act as data-driven tech platforms
BNY Mellon’s transformation signals not just a shift in tools — but in how finance itself operates in the age of intelligent machines.
Conclusion
BNY Mellon’s multi-billion dollar technology strategy showcases how one of America’s oldest banks is adapting to one of the most disruptive forces in modern business: Artificial Intelligence.
By combining digital employees, extensive training, and infrastructure overhaul, BNY is turning technology into the heart of its competitive advantage — reinventing banking for the 21st century.