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  • How AI Supports Asset Management: Five Signals Leaders Need to Watch

How AI Supports Asset Management: Five Signals Leaders Need to Watch

An executive conversation about where pressure is building, where AI can create value, and what asset management leaders should consider next.

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When

October 14

Time

12:00 PM - 12:30 PM ET

Location

Online

Costs

Free

The AI conversation in asset management is moving quickly from experimentation to execution. Firms are under pressure to identify where AI can create measurable value while navigating fee compression, private-market complexity, rising client expectations, and growing demands around data, cybersecurity, governance, and trust.

In this 30-minute executive interview, HSO’s JT Tripple moderates a conversation with asset management industry experts Tom Berger and Jo-Ann DiSantis around five signals shaping the industry—and what they mean for leaders deciding where to focus next.

Rather than a traditional presentation, the discussion uses market trends and research as starting points for a practical conversation about what asset managers are experiencing today and how those shifts could affect business strategy, technology, operations, and the client experience.

What you'll learn

Five signals shaping the AI conversation in Asset Management

  • 1

    Market Pressure & the Passive Shift

    Fee and margin pressure continue to reshape the asset management landscape. The conversation will explore how firms can improve efficiency while continuing to differentiate themselves and demonstrate value beyond investment performance.

  • 2

    Alternatives and Private Markets

    As firms expand into alternatives and private markets, complexity grows across data, reporting, operations, client service, and communications. Tom and Jo-Ann will discuss what firms need to support broader product portfolios and increasingly complex client requirements.

  • 3

    AI & Technology Transformation

    AI adoption is accelerating, but experimentation does not automatically translate into measurable business value. The discussion will examine what separates promising pilots from initiatives that can move into everyday operations—and where firms are seeing the most practical opportunities today.

  • 4

    Regulatory and Investment Shifts

    AI innovation cannot be separated from governance. As firms move from isolated use cases toward broader adoption, leaders must consider cybersecurity, data access, oversight, accountability, and responsible AI alongside potential business value.

  • 5

    Evolving Client Expectations, Personalization, and Authenticity

    Personalization extends beyond investment products. Clients expect relevant communications, responsive service, tailored reporting, and individualized digital experiences. As AI's role increases, how do firms use it to become more relevant while remaining authentic? We'll explore the balance between personalization and automation, the importance of trust and human judgment, and how AI could create more room for meaningful human interaction rather than simply replacing it.

Three AI questions Asset Management leaders should be asking

The conversation ultimately comes back to three questions that can help leadership teams determine where their own firms should focus next:

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Who should attend

This interview is designed for asset management leaders across:

  • Executive and business leadership

  • Distribution, investor relations, and client service

  • Marketing, communications, and sales enablement

  • Operations, transformation, data, and technology

  • Risk, compliance, and governance

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Meet the experts

Learn what’s shaping AI in asset management—and what to do next.