The AI Paradox: Why More Tech Isn't Making Wealth Firms Wiser

MILAN – June 10, 2026 – The financial services industry is in the midst of an unprecedented arms race, with artificial intelligence as its coveted superweapon. Banks, wealth managers, and asset firms are pouring billions into digital transformation, convinced that the next algorithm or automated platform will unlock unparalleled growth. But a landmark new study suggests this frantic pursuit of innovation may be a costly illusion for many, revealing a far less glamorous but more critical truth: in the modern economy, how you build is more important than what you build.

The research, titled Built to Scale, conducted by global wealthtech firm Objectway in collaboration with FT Longitude, draws a stark new line in the competitive sand. Based on a survey of 300 senior professionals across Europe and Canada, it argues that the next great divide in wealth management will not be between the innovators and the laggards, but between firms that can scale their investments profitably and those that simply add complexity. The findings serve as a critical check on the prevailing narrative, suggesting that for many, AI is not a shortcut to success but a stress test that their foundational systems are failing.

The Execution Imperative: A New Competitive Divide

For years, the industry mantra has been "innovate or die." This new research reframes the challenge. The true differentiator is no longer the capacity for innovation alone, but the ability to execute it at scale in a way that is repeatable and profitable. The report’s findings point to a market where a firm's underlying operational structure is the primary determinant of its future success.

“For years, the industry has focused on innovation,” commented Luigi Marciano, Founder and Group CEO of Objectway, in the report’s release. “However, our research suggests that the next competitive divide will be determined by execution.” He argues that the most successful firms are not necessarily the biggest spenders, but the smartest investors. “They are investing in the right sequence: strengthening operational foundations first, externalising complexity selectively, and embedding AI into coherent workflows rather than layering it onto fragmented systems.”

To quantify this, Objectway developed the Scalability Index, a framework measuring a firm’s ability to grow profitably across both client services and core operations. The results are telling. The Index categorizes firms into "Leaders" (those with high scalability) and "Followers" (those with low scalability), revealing a dramatic performance gap. Among Leaders, 18% report profitability growth above 15% in client services and onboarding, a figure that plummets to just 4% for Followers. The disparity is just as stark in core business operations, where 20% of Leaders achieve similar high-growth profitability compared to only 9% of Followers.

This isn't just about the bottom line. Leaders are more than twice as likely to report tangible improvements in their client experience (75% vs. 34%) and achieve substantially better outcomes in operational productivity and speed. The message is clear: a strong foundation isn't just an IT concern; it's the engine of customer satisfaction and sustainable growth.

AI as an Amplifier, Not a Panacea

The study’s most compelling insights emerge around the role of AI. Far from being a universal fix, AI acts as an amplifier. For firms with strong, integrated systems and clean data, it amplifies their strengths, driving efficiency and delivering measurable outcomes. For those built on fragmented infrastructure, it amplifies their weaknesses, creating more chaos and failing to deliver on its promise. Integration issues across systems were cited as the single most common barrier to scalable growth, ranking ahead of even budget constraints or skills shortages.

This operational divergence is reflected in corporate priorities. The research shows that Leaders have already done the necessary groundwork. A majority of them (53%) are now prioritizing the improvement of data quality and operational AI. By contrast, Followers remain mired in foundational struggles, with 42% still focused on the basic, reactive task of reducing manual effort and errors—a priority for only 19% of Leaders.

This indicates that many firms are approaching AI adoption backward. They are attempting to layer sophisticated intelligence onto a fragile and incoherent operational base, a strategy doomed to underperform. The report suggests that AI, rather than being a shortcut around complexity, is forcing a reckoning with it. Organizations with mature data governance and connected workflows are positioned to win, while others risk investing in technology that their own internal structures are set up to reject.

The Strategic Shift to Externalization

If fixing the foundation is the first step, the second, according to the research, involves a radical rethinking of what a company should even do itself. The study reveals that Leaders are aggressively embracing externalization—using outsourced and as-a-service models—not as a simple cost-cutting tactic, but as a core strategic lever for growth. This allows them to offload operationally intensive functions and focus their resources on what truly differentiates them in the market.

The adoption rates paint a picture of two fundamentally different business models. Leaders use these external services at significantly higher rates across the board: 79% for client onboarding (compared to 39% of Followers), 80% for trade execution (vs. 44%), 84% for tax and regulatory reporting (vs. 48%), and 87% for IT infrastructure and application outsourcing (vs. 55%).

This is not just a trend for large institutions with deep pockets. Crucially, the research finds that firms with extensive adoption of as-a-service models report double-digit profitability growth regardless of firm size. This democratizes the path to scale, suggesting that smaller, more agile firms can leverage strategic partnerships to compete effectively with industry giants. This marks a profound shift, transforming externalization from a defensive move to protect margins into an offensive strategy to capture long-term, profitable growth.

Orchestrating the Future of Finance

Ultimately, the findings in Built to Scale point toward a new model of corporate leadership in the financial sector. The role of the executive is evolving from that of a technology selector to a capability orchestrator. The key challenge is no longer picking the right software but building a coherent ecosystem of internal teams, external partners, and intelligent systems that work in harmony.

As Marciano observed, conversations with clients are changing. The focus has shifted "from deliberating on technology adoption to focusing on the desired business outcomes and the most effective strategies to achieve them." The critical question now is what enables these outcomes at scale, rather than what simply adds another layer of technology.

This represents a fundamental test of corporate responsibility and foresight. The firms that thrive will be those that have the discipline to build their house on rock before chasing the latest technological storm. By focusing on scalable execution, data integrity, and strategic orchestration, they are not only building more profitable businesses but also more resilient and trustworthy institutions, better equipped to serve their clients in an increasingly complex world. In the end, the ability to grow without adding chaos may be the most valuable innovation of all.