Generative AI is set to transform banking, unlocking new efficiencies, improving customer engagement, and reshaping financial services. However, banks must take a phased and strategic approach to adoption, balancing innovation with regulatory compliance and risk management.

This resource, developed by AWS in collaboration with Celent, explores the three projected waves of generative AI adoption in banking and key use cases financial institutions are implementing today:

• Wave 1 (2024–2027): High productivity and efficiency gains in low-risk areas, with limited integration costs. Banks are focusing on automation in customer support, content generation, and product development.

• Wave 2 (2028–2033): Deeper AI integration into workflows, enabling augmented decision-making and accelerating AI-powered customer interactions.

• Wave 3 (2034+): The convergence of generative AI with advanced technologies like quantum computing and virtual reality, unlocking new capabilities across financial services.

• Early AI use cases: Banks are leveraging generative AI for sales prospecting, customer engagement, and underwriting automation, improving operational efficiency and client personalization.

• Real-world AI innovation: Learn how NatWest increased customer engagement through AI-powered marketing personalization and how Rocket Mortgage optimised client interactions using AI-driven transcription and sentiment analysis.

By taking a strategic and phased approach, banks can maximise the benefits of generative AI while addressing regulatory and operational challenges. Download this resource to explore how AWS is enabling responsible AI adoption in banking.