The provided sources collectively examine the widespread adoption and challenges of Artificial Intelligence (AI) within the financial services sector, particularly in Europe, as well as the evolving regulatory landscape surrounding AI. Several articles highlight that despite significant investment and perceived transformative potential, AI implementation often faces hurdles such as talent gaps, legacy systems, and the need for clear regulatory frameworks like the EU AI Act, which classifies AI systems by risk. The texts further show that AI is primarily utilized to enhance operational efficiency, risk management, and client services, rather than fully automating investment decisions, and that successful integration requires sector-specific talent and robust governance. While AI offers substantial benefits in areas like fraud detection, compliance automation, and sustainable finance, the sources caution that explainability and data quality remain critical concerns for both financial institutions and regulators.