The Operating Model Imperative: From Complexity to Competitive Advantage

Converting the Wealth Management Opportunity into a Foundation for Growth

Global financial wealth is projected to grow at approximately 7% annually through 2030,¹ setting the stage for a new phase of expansion across wealth management. For wealth management firms, this represents a significant opportunity to accelerate growth, increase share of wallet, and strengthen client relationships. Yet across these organizations, a consistent gap is emerging between growth ambition and operational reality.

Fragmented data environments, layered technology stacks, reactive AI implementation, and undifferentiated client servicing models are constraining firms’ ability to scale advisor capacity, deploy AI effectively, and deliver segment-specific experiences. As the future of wealth management is being redefined, the critical challenge for growth, technology, and operations leaders is less about identifying opportunity and more around building an operating model that can consistently convert that opportunity into durable organic growth.

At BNY's INSITE 2026 conference, wealth management firm leaders were candid about the strategic gap between the current opportunity and their operating capacity. The wealth management firms beginning to capture disproportionate organic growth are those that are applying a new operating model framework, based on three interdependent pillars (as noted in Figure 1 below), to establish adaptability for the enablement of both intentional AI deployment and segment-precision growth.

The Adaptive Operating Model and Four Priority Workstreams

Margin pressure, evolving client expectations, and integrating technology to enable data-driven decision-making while navigating regulatory risk are some of the biggest factors driving wealth management firm leaders to rethink their operating models.

"We are completely rethinking our operating model for our business," explained Channing Olson, COO of Wealthspire, during INSITE 2026.² "That includes technology, it includes changing and simplifying our legal entities, because in my mind, you cannot scale complexity. We have some very high growth goals, and to be able to grow, you need to simplify the underlying complexity."

Taking a hard look at the inner work of a firm's operating model is daunting because it requires stitching together people, platforms, and processes through different workstreams, while integrating in each the attributes of modularity, control, and speed. Many growth, strategy, and heads of technology and operations are approaching the operating model rebuild by focusing on four priority workstreams.

Intentional AI Deployment as an Accelerator for Human Engagement

For leaders of wealth management firms already deep into rebuilding their operating model, the competitive question around AI has shifted to establishing intentional, connected AI workflows that fuel human-AI collaboration and free advisors to concentrate efforts where human judgment and engagement are non-negotiable.⁹ Precision matters because fragmented AI deployment and adoption multiplies complexity without multiplying output.

This important distinction is being evidenced through augmenting pattern-dependent, high-volume functions first. Advisor preparation for client communications, prospect qualification with outreach suggestions, account transfers, compliance documentation, portfolio reporting and analysis, and market intelligence integration are all areas to potentially capture meaningful capacity, which can then be translated into business value.

Segment-Precision Growth as the Competitive Unlock

Segmentation — moving beyond asset-based client tiers to psychographic understanding* (i.e. source of wealth, how they make decisions, what they value, what is unique to them) and deliberate advisor-client matching — remains the most underleveraged growth lever in the industry.¹⁵ According to a Broadridge study conducted in 2023, the number of U.S. advisors who have a defined marketing strategy reached its lowest level (20%) in five years.¹⁶ The consequences of that gap create the risk that client relationships are shallower, less referral-active, and more vulnerable to attrition than wealth management firms recognize.¹⁷

When specific client niches become part of the firm’s operating model, the potential impact on growth cannot be underestimated. Heather Ettinger, now CEO of Luma Thrive, but previously CEO of her own registered investment advisor firm, attributes growth in assets under management from $500 million to $5 billion to focusing predominantly on specific client niches, with a significant emphasis on the women’s wealth segment.¹⁸

“The misconception is that niches limit your growth,” Ettinger explained. “Our firm was an example of when we moved to niches as part of our marketing plan, we went into significant double-digit growth and doubled our margins.”

Three pillars that define a durable segmentation strategy include:

Source: BNY INSITE 2026

Once segments are newly defined, the execution challenge becomes change management: realigning advisor compensation, transitioning long-standing client relationships, and communicating the strategic rationale internally with sufficient specificity that advisors choose to lead the transition rather than resist it. Firms that have navigated this successfully report consistent movement in the metrics that matter most: client engagement, wallet share, close rates on right-fit prospects, and referral velocity.²²

Final Thoughts

When embarking on a comprehensive operating model rebuild, each architectural choice should create the conditions the next choice requires. Unified data architecture helps enable the AI workflows that amplify advisor capacity; amplified advisor capacity makes genuine segment-level personalization scalable; scalable personalization drives the organic growth and referral velocity that sustain the model²³ to compete for the next decade of wealth transfer. The firms that lead the next decade of wealth will be those that architect their operating models with intent, aligning data, AI, and segmentation to systematically convert opportunity into durable growth.