This chapter delves into the genesis of AI in the financial sector, tracing its progress from theoretical concept to practical applications. It highlights how AI has revolutionised financial services by enhancing efficiency, accuracy, and the customer experience, ultimately reshaping the landscape of financial institutions.

In this chapter, the focus shifts to the operational mechanics and training of AI robots within finance. It explores the various machine learning techniques—supervised, unsupervised, and reinforcement learning—used to equip AI robots with the ability to perform complex tasks and make informed decisions.

This chapter reviews the inaugural applications of AI in finance, such as fraud detection and credit scoring, emphasising the substantial benefits they brought in terms of efficiency and cost reduction. It also addresses the challenges faced, including issues of transparency, potential biases, and cybersecurity risks.

The final chapter speculates on the future trajectory of AI in finance, focusing on predictive analysis for investment, advanced risk management, and the automation of manual processes. It suggests that as AI technology continues to evolve, it holds the promise of further transforming the financial sector by introducing new levels of innovation and efficiency.