Wealth management executives are bullish on using artificial intelligence (AI) to mitigate emotional investing responses in high-net-worth individuals (HNWIs), a crucial step in attracting and retaining key clients. With 65% of HNWIs admitting that biases affect their investment decisions, and 79% looking to relationship managers (RMs) to help mitigate bias, banks need to modernize their profiling tools. AI-powered behavioral finance provides the deeper insights RMs need for building hyper-personalized financial plans, portfolios, and client experiences. To get AI-powered behavioral finance right, banks should complete six critical deployment steps, including making internal data accessible, incorporating external data, and adopting finance-specific AI and generative AI solutions. By harnessing the power of AI, banks can gain unprecedented insights into client behavior, preferences, and biases, enabling them to provide hyper-personalized advice, tailored investment strategies, and targeted communication.

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