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Written by: Christopher Ainsworth | Pave Finance
In light of industry conversations and reports continuing to demonstrate what the future of wealth management will look like, Christopher Ainsworth, Co-Founder and CEO at Pave Finance, argues that much of those advances are already here.
The wealth management industry still talks about technologies such as AI and automation as though their meaningful impacts on advisors will start in the next decade. In reality, some of the most important changes are already happening.
Much of the industry conversation is behind the curve. Recent reports, for example, look ahead to 2035 and describe a future of hyper-personalized portfolios, automated portfolio management, greater transparency, and technology-augmented advice.
The idea that these capabilities are still years away just isn’t true. Advisor technology is already further ahead than much of the market seems to realize, and advisors don’t have to wait for automation and efficiency gains.
Hyper-personalization is here
For years, the industry has discussed moving beyond standardized model portfolios and toward solutions tailored to each client’s needs. That shift is often presented as the “next chapter in wealth management” when, in reality, the technology to deliver these solutions already exists.
Advisors no longer need to choose between offering personalization and preserving capacity. They can now generate custom portfolios for individual clients using optimization engines that incorporate risk preferences, exclusions, concentrated positions, tax considerations, existing assets, and benchmark targets. This moves personalization beyond the surface-level tweaks that have been available until now, toward portfolio construction that perfectly reflects each client’s different ambitions, time horizons, and risk tolerances.
The same is true for portfolio management. Historically, even firms that offered some degree of customization still relied heavily on manual upkeep behind the scenes to review accounts, rebalance portfolios, manage cash, respond to market moves, and prepare updates for each individual account. Essentially, the more tailored the service, the lower the advisor’s capacity due to the sheer number of working hours it requires to meet personalized demands.
New technologies, like AI, can now handle the most time-consuming elements of portfolio management. Instead of setting an allocation and manually revisiting it periodically, advisors can increasingly rely on systems that keep portfolios aligned with client preferences and risk targets on an ongoing basis.
Technology will make advisors more human
This does not mean technology is replacing the advisor. In fact, it’s quite the opposite. Advisors spend a large amount of time on portfolio work and meeting preparation. While this is necessary, it’s not the best use of their time. In an industry where nearly a third of the week is lost to administrative tasks, reclaiming even a fraction of that time is highly valuable.
The more that technology can take on repetitive, rules-based tasks, the more time advisors have to focus on the human side of the job. This is the work that matters most, like building trust and relationships with their clients and helping them make informed financial decisions.
Clients are demanding transparency
Beyond the human component, there is a new client expectation taking shape, one that will only intensify as we head further into the largest transfer of wealth in history. Younger investors are not only accustomed to modern interfaces that explain what is happening with their money and why, but they are far less willing to accept opaque processes or generic reporting.
Younger investors want clearer insights into how their money is being managed, how their portfolio reflects their beliefs and goals, and what decisions are being made on their behalf.
Advisors can now access reporting and analytics that provide clients with a transparent view of performance, allocations, exposures, gains and losses, and the reasons behind portfolio changes.
The small accounts issue is gone
Perhaps the most transformative consequence of AI entering the industry is the democratization of wealth management itself. For a long time, heavily customized portfolio management was effectively reserved for larger accounts, too expensive and labor-intensive in nature to deliver at scale. That meant high levels of personalization came with high minimums, fees, or both.
Fortunately, this is changing. As the rules-based components to portfolio construction (management, trading, monitoring, and reporting) become more automated, advisors can serve a much broader client base with the same level of personalization across the board.
Services that once looked and felt like they belonged to a family office can now reach further down-market. This is good for advisors, but the bigger story is what it means for investors.
The wealth management industry often speaks of the future as if it's far down the line. In practice, the timelines is largely a matter of when firms choose to act. A few firms are adopting capabilities early, while others are slower to move. Over time, however, what once sounded ambitious has simply become the new baseline.
Wealth management should no longer ask whether AI and automation will change the industry, they already are. The better question is which of those changes are already within reach and what the cost would be to wait.
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