This chapter discusses the revolutionary ability of quantum computing in altering the FinTech sector, especially when combined with AI-driven financial strategies. The discussion starts by exploring how quantum technologies might augment investing decision-making, facilitating expedited data processing, improved model training, and more adaptive trading strategies through quantum machine learning (QML). The chapter also delves into quantum-powered portfolio optimization, illustrating how quantum algorithms can overcome the limitations of traditional mean-variance models and solve complex asset allocation problems more efficiently. It also highlights the promise of quantum computing in delivering faster and more accurate risk simulations, such as Monte Carlo methods. Special attention is given to applying QML to sentiment analysis and behavioural finance, where quantum techniques can process large volumes of unstructured data to more accurately predict investor sentiment. The chapter also addresses the role of quantum cryptography in safeguarding AI-driven wealth management systems, ensuring robust data protection. Finally, the chapter offers a realistic perspective on the challenges, limitations, and adoption timelines for quantum technologies in finance.