SKN | Bank of America Pursues a High-Tech, High-Touch Wealth Management Strategy

Key Points

• Bank of America is pursuing a “high-tech, high-touch” strategy that combines generative AI with the personal relationships expected by affluent clients.
• The bank is using AI to improve adviser productivity across retail banking, private banking and mass-affluent businesses while maintaining human involvement in client relationships.
• The approach highlights a broader shift in wealth management toward combining digital efficiency with personalized advice, discretion and human judgment.

Bank of America Balances AI Efficiency With Personal Client Relationships

Bank of America is pursuing a dual-track strategy across wealth management and investment services, combining artificial intelligence with the relationship-driven model expected by affluent clients.

The bank’s “high-tech, high-touch” approach reflects its broader strategy for deploying generative AI across retail banking, private banking and mass-affluent businesses. Hari Gopalkrishnan, Bank of America’s chief technology and information officer, has outlined the approach as the institution looks to use AI to increase adviser productivity without removing the human relationships that remain central to wealth management.

AI Is Positioned as an Adviser Productivity Tool

For wealth managers, the practical value of generative AI extends beyond customer-facing chatbots. AI can potentially reduce the amount of time advisers spend on repetitive research, information gathering and administrative processes, creating greater capacity for client engagement and financial planning.

Bank of America’s strategy therefore places technology alongside human advice rather than presenting the two as substitutes.

This distinction is particularly relevant for affluent and high-net-worth clients, where investment decisions can involve complex financial circumstances, multiple asset classes and longer-term wealth planning considerations.

The Human Relationship Remains Central to Affluent Banking

The “high-touch” component of the strategy recognizes that technology alone does not replicate the value of an established adviser relationship.

Affluent clients often expect continuity, discretion and a clear understanding of their broader financial circumstances. AI can support those relationships by helping advisers work more efficiently, while the adviser remains responsible for interpreting information and engaging directly with the client.

For Bank of America, maintaining that balance is particularly relevant across its retail, private banking and mass-affluent franchises, where client needs and levels of financial complexity differ significantly.

AI Could Change the Economics of Wealth Management

The integration of AI into wealth management could also influence the economics of serving clients.

If technology reduces administrative workloads and improves adviser productivity, financial institutions may be able to support larger client relationships without relying proportionally on additional personnel.

That creates an opportunity to expand personalized services while maintaining operational discipline. At the same time, financial institutions must ensure that AI-supported processes preserve appropriate controls, data security and human oversight.

Technology and Personalization Become Competitive Factors

Bank of America’s approach illustrates a broader direction for the financial industry: technology is increasingly being used to strengthen rather than eliminate relationship-based banking.

For international wealth managers, the competitive advantage may increasingly come from combining sophisticated digital infrastructure with highly personalized service. Institutions that can integrate AI into research, client servicing and operational workflows while preserving trust and discretion could be better positioned as affluent clients demand both convenience and specialist advice.

Closing Insights

Bank of America’s “high-tech, high-touch” strategy reflects an important evolution in wealth management. The objective is not simply to automate financial advice, but to use AI to increase the capacity and effectiveness of human advisers.

For affluent and globally mobile clients, the combination of technology and personal service could become an increasingly important differentiator among major financial institutions. The strategic test will be whether AI investment translates into better adviser productivity and deeper client relationships without compromising the discretion and human judgment expected from private banking.

For a confidential discussion regarding retail banking strategy, insurance distribution models, customer loyalty ecosystems, digital financial services, or cross-border financial innovation opportunities, contact our senior advisory team.