Embedding AI Risks Into Investments: Rowland
Kristin Kallergis Rowland, global head of alternative investments at JPMorgan Private Bank, joins Dani Burger on "Bloomberg Deals." Kristin Kallergis Rowland explains how an investor ends up being on both the bull and bear side of AI. (Source: Bloomberg)

This article discusses how Kristin Kallergis Rowland, global head of alternative investments at JPMorgan Private Bank, addresses the dual perspective of investors in the AI landscape, highlighting both opportunities and risks.
What happened
Kristin Kallergis Rowland, global head of alternative investments at JPMorgan Private Bank, participated in an interview on 'Bloomberg Deals' where she explained how investors can have both bullish and bearish perspectives regarding AI investments.
Why it matters
The discussion is relevant to AI developers and investors as it provides insights into managing risks and opportunities in the AI sector, which is crucial for strategic decision-making.
- Investors must consider both the potential and risks of AI investments.
- Understanding the dual perspective of AI can lead to more informed investment decisions.
- Rowland's insights provide a framework for evaluating AI-related opportunities and threats.
The bigger picture
The insights from Rowland can influence how investors approach AI investments, balancing potential gains with associated risks.
The article emphasizes the importance of a balanced view of AI investments, highlighting both the opportunities and risks for investors.
Technical details
- The article mentions the integration of AI risk assessment into investment strategies.
FAQ
What is the main topic of the article?
The article discusses how investors can have both bullish and bearish perspectives on AI investments, as explained by Kristin Kallergis Rowland.
Who is Kristin Kallergis Rowland?
She is the global head of alternative investments at JPMorgan Private Bank.
Where was the discussion held?
The discussion took place on the 'Bloomberg Deals' podcast.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by Bloomberg Technology on Sep 30, 2026.
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