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      Cレベル最高幹部たちの視点:ウェルスマネジメントにおけるAI統合を推進
      //Cレベル最高幹部たちの視点:ウェルスマネジメントにおけるAI統合を推進

      Artificial intelligence is no longer a concept on the distant horizon. At RIA Edge LA, I had the opportunity to faciliate a thought-provoking discussion that explored how AI is rapidly becoming a strategic imperative in wealth management - not just for technologists, but for the entire C-suite.

      Titled "C-Suite Perspectives: Orchestrating AI Integration in Wealth Management," our discussion brought together executive leaders across diverse firms to share how they are shaping AI strategies that are aligned with long-term business goals, client needs, and organizational culture.

      Setting the Stage: AI is Now

      To open the session, I shared a few key insights from recent Celent research that underscore how fast AI is moving from theory to practice:

      • Nearly 70% of wealth management firms now report having an enterprise AI strategy. This is a dramatic rise from just 29% three years ago.
      • More than 60% of advisors say they are either already using AI tools or plan to within the next year.
      • Top AI use cases include:
      • Client segmentation and personalization
      • Operational efficiency in areas like compliance and onboarding
      • Advisor productivity, enabling faster scale and smarter workflows

      But perhaps the most revealing statistic? The number one challenge to enterprise adoption is not technology: it is leadership alignment.

      Where AI Transformation Begins: The C-Suite

      Our panel began by exploring a crucial question: Is AI being treated as a firm-wide strategic priority, or just a departmental initiative? Panelists shared candid stories of inflection points - moments when AI moved from "interesting" to "urgent" - often driven by market pressure, competitive shifts, or internal innovation breakthroughs.

      One common thread? Executive buy-in is not optional. It is foundational. Several panelists emphasized the importance of C-suite leaders staying actively informed, fostering curiosity, and setting a clear vision for how AI aligns with broader firm values and objectives.

      From Technology to Culture: Driving Real Adoption

      While implementing AI technology may seem complex, nearly all our panelists agreed: the human element is harder.

      The conversation turned to change management: how to prepare teams, especially advisors and client-facing staff, for the shift. Success, in many cases, came down to three key ingredients:

      • Ongoing training and support
      • Open communication to demystify AI tools
      • A culture that embraces experimentation and fast learning

      Resistance, where it existed, was often rooted in fear - fear of being replaced, or of losing the human touch in client relationships. The antidote? Clear messaging that AI is here to empower, not replace. When advisors see firsthand how tools can make their work more efficient, personalized, and scalable, adoption tends to follow.

      Making AI Tangible: Use Cases, Metrics, and Momentum

      We also dug into how firms are using AI today and what they’re watching for as they look ahead:

      • One panelist shared how AI is enabling smarter client segmentation, allowing teams to tailor outreach and planning with far greater precision.
      • Another highlighted operational wins: reducing onboarding time and increasing compliance accuracy with AI-assisted workflows.
      • As for tracking success? Firms are watching both quantitative KPIs (like productivity gains) and qualitative feedback from advisors and clients.

      Ethics and regulation were also top of mind. Panelists discussed the importance of governance frameworks that balance innovation with responsible data use, especially as AI becomes more embedded in daily operations.

      Advice for the Industry: What It Takes to Get AI Right

      To close the discussion, I invited each panelist to share one piece of advice for leaders navigating this transformation. Their insights reflected the day’s themes:

      • “Don’t wait for perfection. Start experimenting now.”
      • “Embed AI into your strategy, not just your tech roadmap.”
      • “Lead with transparency, especially with your people.”
      • “Stay curious. This space is evolving too fast to stand still.”

      And I could not agree more.

      As I said in my closing remarks, getting AI right is not just about technology. It is about leadership, culture, and vision. The firms that thrive in this new era will be the ones that do not just adopt AI, but truly integrate it with intention, responsibility, and a clear view of how it can elevate the human side of advice.

      Audience Reflections

      Our Q&A surfaced a few additional takeaways that are worth noting:

      • Short-term vs. long-term AI investments: Leaders are finding ways to balance quick wins with foundational projects that may take longer to pay off but are critical for competitive advantage.
      • Talent and org design: Several firms are rethinking roles, hiring for data and AI fluency, and building internal champions to lead the charge.
      • AI risks and concerns: One thoughtful question asked, “What are the potential dangers or concerns you’re most mindful of when it comes to AI - whether ethical, operational, or reputational?” This sparked a candid dialogue around the importance of strong governance, transparency, and understanding AI’s limitations as well as its capabilities.

      Final Thoughts

      My time at RIA Edge LA reinforced just how pivotal this moment is for wealth management. AI is transforming how we engage clients, run operations, and deliver value. But the real differentiator will be how firms lead through this change - with clarity, empathy, and a steadfast focus on the human side of the business.

      Details
      Geographic Focus
      North America
      Horizontal Topics
      Artificial Intelligence, Artificial Intelligence - Generative AI e.g. ChatGPT, Customer Engagement, Digital Transformation, Innovation
      Industry
      Wealth Management