Artificial Intelligence and Finance

Artificial Intelligence and Finance: Competition, Crimes and Financial Management offers a comprehensive exploration of how artificial intelligence (AI) is transforming the global financial landscape. The book delves deep into the intersection of AI, finance, competition law, and financial crimes, examining how machine learning, algorithmic trading, and blockchain innovations are reshaping traditional economic systems.

Through a balanced mix of theoretical insights, econometric analysis, and practical examples, the author investigates how AI influences financial decision-making, market competition, and governance structures. Readers gain a clear understanding of how automation and data-driven strategies are redefining financial management practices—while also exploring emerging risks such as cyber fraud, digital currency manipulation, and regulatory challenges.

The text further discusses Central Bank Digital Currencies (CBDCs), Non-Fungible Tokens (NFTs), blockchain technology, and the metaverse, linking these developments to AI’s growing role in modern finance. This interdisciplinary approach bridges the gap between economics, law, and technology, making it an essential reference for financial professionals, economists, policy makers, and students who want to understand the AI-driven economy.

Whether you are an academic researcher, a finance professional, or a curious reader eager to understand the digital transformation of global markets, this book provides valuable insights into the ethical, competitive, and economic implications of AI in finance.