What happens when Artificial Intelligence (AI) can generate investment recommendations, analytics platforms can monitor portfolios in real time, but clients still make emotional decisions that defy logic?
The wealth management profession is evolving rapidly, driven by Artificial Intelligence (AI), advanced analytics, and behavioural finance. As technology reshapes how advisors serve clients, business schools face a critical challenge: preparing graduates for the future of the industry.
In an article for ET Edge Insights, Dr Arindam Banerjee, Professor (Finance) and Director of the Master of Applied Finance & Wealth Management (MFWM) at SP Jain Global, explains why traditional finance education must adapt to these changing demands.
Dr Banerjee highlights three essential capabilities for future wealth professionals: AI, analytics, and behavioural finance. While AI and data analytics are transforming portfolio management and client engagement, behavioural finance remains critical in helping advisors understand and navigate investor emotions and biases.
As the advisory landscape evolves, wealth managers are increasingly expected to be hybrid professionals, comfortable working with intelligent technologies, fluent in data-driven decision making, and capable of building trust with clients during periods of uncertainty.
To stay relevant, business schools must embed these skills into the core curriculum through practical learning, industry projects, and real-world applications.
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