Key Takeaways

  • AI is transforming retail investor analysis and engagement, enabling deeper behavioural insights, more accurate segmentation and personalised advice.

  • Behavioural analysis and clustering of individual investors, together with Large Language Model (LLM)-based synthetic surveys, offer new ways to understand investor preferences and test communication strategies, supporting more tailored and responsible communication.1

  • Robo advisors and recommender systems, LLM-powered chatbots and mailbots enhance investor communication and decision making, while improving efficiency for asset managers. 

1. A large language model (LLM) is a very big neural network pretrained on huge amounts of text to predict and generate language. It can perform many language tasks (e.g., generation, summarisation, Q&A, classification) and can be applied to natural language processing tasks.

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