U.S. Private Banks & Trust Companies 2025
The Technology and AI Roadmap
Evaluate Opportunities in the Private Bank and Trust Channel
- Understand how banks are adapting advisory models to compete for client assets
- Evaluate developments in banks’ investment management functions
- Track changes in banks’ portfolio construction processes, use of models, and managed accounts platforms
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Summary
Evaluate marketshare, business development strategies, portfolio construction, and changing demographics and client demands affecting private banks, trust departments, and non-depository trust companies.
A Note from the Author
The Future of AI Adoption in the Bank Channel
Matt Zampariolo
Research Analyst
Bio →
Matt Zampariolo
Research Analyst
Matt is a member of Cerulli’s Wealth Management practice, specializing in research across the high-net-worth and ultra-high-net-worth investor markets, including private banks, trust companies, RIAs, and multi-family offices. As an analyst, Matt provides support to the firm’s high-net-worth research team, assisting in the production of two annual reports and a variety of strategic consulting projects.
Prior to joining Cerulli, Matt worked as a financial analyst within Goldman Sachs’ multi-family office, based in Saratoga Springs. He graduated from the University at Albany with a degree in Economics.
Full biography here.
Cerulli data finds fewer than half (42%) of bank advisors report current use of artificial intelligence (AI) capabilities within their practice; however, this number is anticipated to increase to more than three-quarters (77%) within the next two years.
The breadth of AI capabilities at banks ranges from text-based large language models to real-time investment data analysis. AI is being used in portfolio construction both directly via AI-powered asset management strategies and indirectly with more AI-powered risk management advice and optimization tools.
When properly controlled, offloading this type of analysis to machine learning can free advisors to spend more time face-to-face with clients, marketing and prospecting, engaging in more human-driven planning projects such as estate planning and wealth transfer, and deepening existing relationships.
Early adopters of AI will be at the forefront of growth in the years to come, and those who are slow to adopt may get left behind. Nimble bank practices should at least evaluate their current and prospective integration of AI tools that may lead to enhanced advisor productivity and client outcomes.
For more, use our comprehensive report, U.S. Private Banks & Trust Companies 2025. Gain a complete understanding of what’s happening in the bank channel with our new research covering bank deposit trends, private bank sizing, product demand, services offered, and more.
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