For several decades, artificial intelligence (AI) technologies have been actively introduced into the financial sector, undergoing significant changes. Artificial intelligence has evolved from weak, solving only specific technological problems, to strong, which, thanks to machine learning, is able to independently cope with complex tasks without constant human intervention. Today, artificial intelligence in the financial sector is aimed at improving the efficiency of processes, promoting automation and digitalization, expanding the scale of operations and managing various economic risks. Artificial intelligence in the modern world is becoming a part of the life of any person, it helps to simplify the performance of a number of tasks, reduces the likelihood of error due to the «human factor», and also makes it possible to work with a huge amount of information. The contribution considers artificial intelligence as a catalyst for economic change and the formation of future economic trends. That is why artificial intelligence can and should be used in financial and economic analysis, but its work should be controlled by experts and specialists in this field. The main research methods include the dialectical method of cognition, methods of system-functional, comparative analysis, scientific abstraction and the economic-statistical method.