[With 100,000 financial advisors retiring amidst the $84 trillion Great Wealth Transfer and rising personalized client services expectations, this guest article from Leslie Norman, Chief Technology Officer (CTO) at Dynasty Financial Partners, explores the evolving role of AI technology in wealth management firms that can bridge this advisor gap.
From her unique perspective as CTO of one of the nation’s largest independent WealthTech platforms for independent financial advisors, she outlines how the future of wealth management will be defined not by the number of advisors, but by how effectively they can leverage technology to deliver personalized, high-value service at scale. In this discussion, artificial intelligence emerges not as a replacement for human expertise, but as a powerful tool to multiply advisors’ capabilities.]
100,000 advisors are retiring. Here’s how AI is filling the gap
Asset management is undergoing a structural change. According to McKinseyMore than 100,000 financial advisors, accounting for approximately 42% of industry assets, will retire over the next decade. At first glance, this indicates a sharp reduction in advisor capacity.
At the same time, customer expectations are rising. Investors expect quick responses, personalized planning and ongoing communication that goes beyond just quarterly updates. Advisors, meanwhile, are coming under pressure to manage more clients and do so more effectively, with fewer experienced professionals available.
Traditional solutions – hiring junior staff, increasing account minimums or optimizing processes – only go so far in filling the gap. The more transformative path lies in how companies use artificial intelligence to augment human advisors facing capacity issues, rather than replacing them with unfeeling machines.
AI as augmentation, not automation
Much of the early conversation around AI in the financial sector focused on automation: robo-advisors, chatbots and passive allocation tools. But these consumer-facing applications downplay a more important opportunity: AI’s potential to help advisors work more efficiently.
Nowadays, advisors spend a lot of time on tasks that do not add direct value to clients. Collecting data from multiple systems, preparing for meetings, generating reports, and crafting routine communications all takes time away from strategic work.
AI can significantly reduce that burden. Generative models, when applied responsibly, can curate client briefings, summarize portfolio moves, and craft personalized messages. Intelligent assistants can surface timely planning opportunities or monitor client portfolios for actionable trends.
The result? Advisors with better leverage. In this sense, AI does not replace human insight, but enhances it.
The real barrier: fragmented infrastructure
The biggest limitation to effective AI in asset management is not the quality of the models. It’s the state of the data.
Many consultancies, especially in the independent sector, work with fragmented technology packages. Custodians, CRMs, scheduling software, performance systems and document management tools often come from different vendors and do not easily share data.
This lack of integration makes it difficult to build reliable, AI-driven workflows. Even the most advanced tools cannot produce intelligent results if the input is inconsistent, redundant or outdated.
Businesses need an infrastructure that can unify data across platforms and make it accessible to intelligent systems in real time. This also applies to secure data”lakes,” API-based integrationsand internal data quality standards and management.
Without that foundation, AI won’t work reliably or at scale.
Keeping the advisor in charge
AI is excellent at pattern recognition, language generation and speed. But it has no real understanding of the client’s context, values or emotions. This shortage is of great importance in asset management.
Customers trust advisors with sound judgment. In contrast, an AI model can summarize tax loss harvesting options or identify an insurance gap, but only an advisor can interpret these options in light of a client’s evolving goals or emotional needs and make appropriate recommendations.
That is why a human-in-the-loop design is essential. In this model, AI is like a well-trained assistant: helpful, fast and knowledgeable – but always under strict human supervision.
Risks are real and often underestimated
AI in asset management carries significant risks if not handled carefully.
- Data Quality: Bad or inconsistent data leads to poor – sometimes downright nonsensical – recommendations, which can erode customer confidence.
- Privacy: Many off-the-shelf AI tools come with opaque terms and broad data rights. Entering customer information into a public model can, however unintentionally, expose sensitive data to external systems.
- Overconfidence: Even the best AI systems make mistakes. In regulated industries, errors in customer communications or recommendations pose reputational and legal risks. Companies must set clear boundaries on where and how AI is used and always incorporate rigorous human review.
At Dynasty we use a version of AI that only works within our own secure environment. It ensures that customer data remains protected and compliant, while still providing all the benefits of generative AI tools. Our approach – control first, capacity second – is, I believe, one that the wider industry should adopt.
This is what the advisor of the future looks like
AI will not reduce the need for advisors. It will redefine what they spend their time on.
Advisors will increasingly rely on digital assistants to handle routines such as:
- Preparation of meetings and briefings
- Communication designs
- Get data
- Task management
Instead of spending hours drafting and compiling reports, advisors receive intelligent briefings with context and clues. Even spending time on the critical task of refining these results will free up advisors for planning, business development, and meaningful two-way communication with clients.
This shift will not reduce the number of advisors, but it will reshape asset management employment. Administrative roles may become smaller over time, but strategic, planning-oriented roles will become increasingly important. Advisors will be judged not only on what they know, but also on how effectively they use technology to serve clients with greater precision and greater personalization.
Seizing the AI opportunity
With the number of advisors dwindling, companies have a crucial window to deploy AI capabilities that can bridge the gap. The most successful advisors will be those with the clearest strategy for using them, not those with the most complex or far-reaching tools.
The best way to move forward is to start with specific use cases that reduce friction: meeting preparation, follow-up communications, task summary, portfolio reviews.
In these areas, AI can deliver immediate time savings and better results. As confidence in the tools grows, companies can explore more advanced applications, such as autonomous virtual assistants that coordinate multi-step customer workflows. These tools prepare meeting minutes, schedule follow-ups, trigger suggestions for the next best action, and route tasks across platforms, all with minimal human input. Advisors retain control, but red tape is dramatically reduced.
One final thought
AI will not replace financial advisors. That is simply not possible. But it can and will function as a multiplier.
The real value of AI lies in freeing advisors from routine tasks so they can focus on thinking, planning and building relationships.
Companies that invest thoughtfully in AI infrastructure, putting advisors at the center, will gain real competitive advantages – not only by automating tasks, but also by increasing human expertise.
This article was originally published here and is republished on Wealthtender with permission.
About the author
Bill Tooth
Founder Institute for Innovation Development
Bill Hortz is an independent business consultant and founder/dean of the Institute for Innovation Development, a platform and network for business innovation in the financial services industry. With over 30 years of experience in the financial services industry, including expertise in asset manager sales/marketing/branding, as well as creatively restructuring and developing internal/external sales and strategic account departments for 5 major financial firms including OppenheimerFunds, Neuberger&Berman and Templeton Funds Distributors. His broad experiences have led Bill to a strong belief, passion and advocacy for strategic thinking, innovation creation and strategic account management as the nexus of business skills needed to meet a business environment challenged by an increasingly rapid pace of change.
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