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Interview with Alexander Prokhorov – How AI and Automation Are Redefining Asset Management

Alexander Prokhorov, Head of Asset Management at Dellecod Assets Limited, discusses the integration of AI and automation in asset management. Prokhorov emphasizes the role of technology in enhancing decision-making rather than replacing human input.

CBy Chloe SimmonsMar 20, 20261 min read

Alexander Prokhorov, Head of Asset Management at Dellecod Assets Limited, discusses the integration of AI and automation in asset management. Prokhorov emphasizes the role of technology in enhancing decision-making rather than replacing human input.

Prokhorov's experience spans law, crisis management, and finance, which influences his approach to asset management. At Dellecod Assets, AI is utilized to streamline processes, focusing on reducing noise and enhancing efficiency rather than making decisions independently.

Prokhorov states, "Technology shouldn’t take the wheel. It should clear the fog so you can see the road more clearly."

AI has become integral infrastructure in asset management, with models processing over 500,000 data points daily at Dellecod, resulting in a 19% increase in portfolio efficiency in 2024. Automation is used to identify anomalies and simulate potential market disruptions, allowing human analysts to make informed decisions.

Alexander Prokhorov, Head of Asset Management at Dellecod Assets Limited, discusses the integration of AI and automation in asset management.
Chloe Simmons · Thehackingpost

Algorithmic strategies are employed to mitigate human biases such as fear, greed, and overconfidence, which account for significant losses in volatile markets. These systems operate within predefined risk thresholds, analogous to a GPS providing guidance without taking control.

Automation shifts the focus from routine data collection to strategic analysis, enhancing analytical depth without reducing personnel. Prokhorov explains, "Automation isn’t about doing less — it’s about thinking deeper."

The ideal asset manager will be a "Hybrid Thinker," combining technical skills with an understanding of human psychology to navigate uncertainty. Future success will depend on the ability to interpret data while acknowledging the emotional factors that drive market movements.

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Prokhorov advises new analysts to develop technical skills, maintain emotional discipline, and view AI as a collaborative tool. He emphasizes the importance of balancing machine efficiency with human insight.

Based on reporting by TechBullion.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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