Artificial intelligence in the banking sector: trends and challenges for the modern economy

The article explores the impact of artificial intelligence on the banking sector. It examines the key areas of application of artificial intelligence (AI), including business process automation, personalization of financial services, fraud prevention, and risk management. The article also analyzes the benefits of implementing artificial intelligence, such as reducing costs, improving operational efficiency, accelerating data processing, and enhancing customer service. Special attention is paid to the barriers to the introduction of artificial intelligence, including regulatory restrictions, cybersecurity issues, transparency of the algorithms used, and more. The purpose of this article is to identify key trends in the development of artificial intelligence in the banking sector based on a study of the models of applying artificial intelligence in financial sector organizations, as well as the main problems and challenges of using AI. The relevance of this article is due to the fact that artificial intelligence is becoming a strategic development tool, contributing to increased labor productivity, improved resource management, and the creation of fundamentally new jobs. Its implementation accelerates the digitalization of the financial sector, enhances competitiveness, and promotes sustainable economic development. In the long term, artificial intelligence has the potential to transform the structure of markets, including financial markets, increase the investment attractiveness of the economy, and create a foundation for innovative growth and development.