AI in banking

2026

Open publication workspace · Sign in to read the full PDF.

AI-generated summary

This article explores the evolving landscape of AI in banking, highlighting its transformative potential and the strategic choices necessary for successful adoption.
* Defines traditional, generative, and agentic AI and their applications in banking.
* Analyzes the current state of AI adoption, its challenges, and key use cases across the banking value chain.
* Provides insights into strategic decision-making for unlocking AI's full value and its future outlook.
AI, banking, generative AI, agentic AI, strategy

Check the original publication for accuracy and context.