2026 RBC Capital Markets Global Financial Institutions Conference
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Ares Management (ARES) 2026 RBC Capital Markets Global Financial Institutions Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for Ares Management Corporation

2026 RBC Capital Markets Global Financial Institutions Conference summary

11 Mar, 2026

Growth strategy and business model

  • Growth has been driven by both organic expansion and targeted acquisitions, with about 25% of historic growth from M&A.

  • Acquisitions focus on adjacent businesses where there is a right to win and potential for revenue synergies, allowing acquired units to retain autonomy.

  • Centralized functions like sales, compliance, and technology enable scale, while business units maintain autonomy for specialization.

  • A customer-centric approach has shaped the platform, evolving from product provider to holistic solutions provider across the capital stack.

  • Diversification across products, geographies, and distribution channels is key to resilience and outperformance through cycles.

Information edge and market outlook

  • Access to primary data from thousands of investments globally provides a significant information advantage.

  • Private market data shows strong fundamentals, with double-digit cash flow growth and high occupancy rates.

  • There is a disconnect between public market narratives and private market realities, with no signs of a credit crisis in portfolio data.

  • The secular shift from public to private markets is durable and underappreciated by public market participants.

  • Successful investors focus on relevant primary information rather than media-driven noise.

AI and technology transformation

  • AI is seen as both a risk and an opportunity, with investments in digital infrastructure and renewable energy benefiting from AI-driven demand.

  • Over 25 AI-driven projects are underway, targeting margin expansion and operational efficiency in both front and middle office functions.

  • The impact of AI must be measurable, showing up in productivity or margin gains.

  • The market's initial focus on software exposure is seen as too narrow; broader infrastructure and implementation cycles are more relevant.

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