The wealth management industry has poured billions into technology over the past decade, yet a persistent gap remains between the tools available and what advisors actually use. According to a 2024 study by Cerulli Associates, 68% of advisory firms have invested in customer relationship management (CRM) systems, but only 38% of advisors report using them daily. Similar patterns hold for financial planning software, client portals, and the latest wave of generative AI tools.
This disconnect is not a failure of innovation, but of execution. Firms often treat technology adoption as a one-time training event rather than an ongoing operational shift. Advisors sit through onboarding sessions or vendor demos and are then expected to incorporate those tools into their daily workflow. That approach rarely changes behavior. Advisors adopt technology not when they understand its features, but when it demonstrably improves a client meeting, shortens follow-up time, or makes planning more effective in real-world scenarios.
When training is not embedded into the workflow, the outcome is predictable. Advisors fall back on spreadsheets, email, and manual processes—not because they prefer them, but because they trust them. Over time, even well-designed systems become underused. A 2023 report from McKinsey & Company found that financial advisors spend up to 30% of their time on administrative tasks that could be automated, yet many firms have not redesigned workflows to capture those efficiencies.
Fragmentation compounds the problem. Most advisors operate across multiple disconnected systems for CRM, portfolio management, planning, compliance, and reporting. Each may function well independently, but together they introduce friction. Duplicate data entry, inconsistent information, and disjointed client experiences create a constant drag on productivity. From the advisor's perspective, the issue is not whether a tool is sophisticated, but whether it simplifies their work. When technology adds complexity instead of removing it, adoption erodes quietly. Advisors begin to bypass certain features, then entire systems, until the intended workflow breaks down.
This is where many firms misdiagnose the problem. What looks like resistance is often operational friction. Firms frequently place the burden of adoption on the advisor, expecting them to troubleshoot new systems, redesign workflows, and figure out how everything fits together while continuing to manage client relationships. That expectation becomes increasingly unrealistic as technology grows more complex and regulatory expectations increase. Advisors are willing to adopt new tools, but they are understandably cautious when the time, effort, and risk fall entirely on them.
The rise of generative AI is exposing these same fault lines. A 2025 survey by Broadridge found that 72% of wealth management firms are experimenting with AI, but only 22% have deployed it at scale. Concerns around data governance, compliance, and client trust are slowing progress. Some firms are moving too cautiously and risk falling behind, while others are moving too quickly without proper guardrails in place. The firms making meaningful progress are taking a more measured approach, focusing on narrow, practical use cases and pairing them with clear oversight and support. They are not simply introducing new tools; they are integrating them into how work actually gets done.
What stands out is that these firms are not necessarily investing in more technology. They are more deliberate about how technology is deployed. They show advisors, in specific and relevant ways, how a tool improves client outcomes. They reduce the number of systems advisors must actively manage. They rely on internal champions to demonstrate real-world value. And they position technology as an extension of the advisor's value, not an added burden. For example, DeepVest and Advisor CRM recently launched AI tools for client risk analysis, which are designed to integrate directly into existing workflows rather than requiring advisors to learn a new platform.
That last point is critical. When technology is framed as overhead, adoption will always be limited. When it is positioned to enhance advice, it becomes part of the advisor's identity and process. If there is a single shift the industry needs to make, it is this: stop measuring success by what has been purchased and start measuring it by what is used. That requires a different level of commitment. Workflow design, ongoing training, and system integration need to be treated with the same importance as the technology itself. As Franklin Templeton's AI hackathons have shown, hands-on, iterative engagement can drive adoption far more effectively than top-down mandates.
The industry does not need more technology. It needs to get more out of what it already has. Firms that invest in operational support, reduce system fragmentation, and embed training into daily workflows will see higher adoption rates and better client outcomes. Those that continue to treat adoption as an advisor's problem will find their technology investments gathering dust.
