AI’s impact on the wealth management industry could mean a fundamental shift in who human advisors work with and who will manage their money with tech.
It could mean that many advisors will work less with mass affluent clients as technology delivers increasingly sophisticated advice to investors with more modest assets. Advisors will focus on wealthier clients with more than $1 million in investable assets.
That was the message from Debasish Patnaik, a McKinsey partner, who told Bloomberg over the weekend that advances in AI are rapidly improving the quality of financial guidance available to mass-affluent investors, potentially reducing the need for human intervention in routine planning and investment decisions.
While the prediction looks forward, many wealth management firms are already taking steps that suggest the transition is underway and while much of the industry's discussion around AI has focused on efficiency gains, proponents argue the bigger opportunity lies in rethinking how advisory firms operate.
According to a recent T. Rowe Price analysis, the technology's real value may come from redesigning workflows across financial planning, client reviews, communications and practice management, allowing advisors to expand capacity without simply adding staff or working longer hours.
The firm also argues that AI could strengthen rather than weaken advisor-client relationships, by helping advisors identify behavioral patterns, draft personalized communications and tailor explanations to different client audiences, to free up time for higher-value conversations.
T. Rowe Price’s view is that technology is best used to handle preparation and analysis, while advisors continue to provide the judgment, empathy and context that clients expect when making important financial decisions.
Turning portfolio decisions over to public AI chatbots is certainly not a risk-free proposition.
Speaking at a media event in Frankfurt last week, Allianz Global Investors chief executive Tobias Pross warned that widespread reliance on the same large language models could encourage investors to reach similar conclusions and make comparable trades, increasing the risk of crowded positioning across markets.
He argued that when large numbers of investors depend on identical AI-generated insights, the result could be a dangerous loss of diversity in decision-making.
Pross described the phenomenon as a form of "AI socialism," suggesting that generic chatbot models may steer users toward the same investment ideas rather than fostering independent analysis. While he acknowledged the growing role of artificial intelligence in finance, he cautioned that investment success has traditionally depended on differentiated views and unique insights.
If AI tools increasingly produce similar recommendations for millions of users, investors could become more vulnerable to sharp market reversals when consensus trades unravel, Pross warned.
Salesforce's recent launch of Agentic Advisor highlights how established technology providers are responding to a growing challenge from AI-native firms.
The new suite embeds autonomous AI capabilities directly into advisors' daily workflows, handling tasks such as meeting preparation, note generation, follow-up actions and client intelligence.
Rockefeller Capital Management recently partnered with Anthropic to build AI capabilities into advisor workflows, using Claude to support research, meeting preparation and client engagement.
The initiative reflects a broader effort to augment advisors with technology while reserving human expertise for more complex client needs. InvestmentNews reported that the firm's leadership views AI as a tool to enhance, rather than replace, advisory relationships.
The industry is also creating new leadership structures around the technology.
Over the past month, firms including SEI have appointed executives responsible for AI strategy, governance and data operations. Those hires signal that AI is increasingly viewed as a core business function rather than an experimental technology.
At the same time, software providers are racing to automate more of the advisor workflow. Salesforce's recent launch of Agentic Advisor aims to handle tasks ranging from meeting preparation to administrative follow-up, as competition intensifies between traditional technology vendors and AI-native providers.
The developments support Patnaik's contention that AI will increasingly handle functions that were once central to many advisory practices.
As portfolio construction, research and basic planning become more automated, advisors may need to differentiate themselves through behavioral coaching, complex financial planning and high-touch relationships.
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