Generative artificial intelligence is rapidly emerging as one of the most transformative technologies in banking. According to research from the McKinsey Global Institute, generative AI could generate up to $340 billion in additional annual value for the global banking industry by improving productivity, automating complex processes and enhancing customer engagement.
Generative AI is moving beyond experimentation
Banks were initially cautious with artificial intelligence, focusing primarily on narrow use cases such as fraud detection and risk modelling. Generative AI is expanding those capabilities by enabling machines to analyse data, generate insights and automate knowledge-intensive tasks.
Large financial institutions are now testing generative AI tools across multiple functions including customer service, compliance operations, software development and financial analysis.
The shift marks a move from AI as a specialised tool toward AI as a core operational layer within banking organisations.
Where the economic value could come from
Research suggests that the largest benefits of generative AI will come from improving efficiency across knowledge-driven banking roles.
Customer operations represent one of the biggest opportunities. AI-powered assistants can handle routine inquiries, summarise interactions and provide support agents with recommended responses in real time.
Another significant opportunity lies in software engineering. Generative AI tools can assist developers in writing, testing and debugging code, accelerating the pace of digital product development within banks.
Risk and compliance functions could also benefit from AI systems capable of analysing regulatory documents, monitoring transactions and generating reports more efficiently.
Relationship banking could be enhanced by AI copilots
Generative AI is also beginning to influence front-office banking activities.
AI-powered copilots can help relationship managers prepare for client meetings by summarising customer data, analysing market conditions and generating insights tailored to specific portfolios.
These tools allow bankers to spend less time searching for information and more time focusing on advisory relationships with clients.
Banks are building internal AI platforms
Many large banks are now building internal AI platforms that allow employees to safely use generative AI tools within secure environments.
Rather than relying entirely on external AI providers, financial institutions are experimenting with private AI models trained on internal data. This approach helps banks maintain control over sensitive information while still benefiting from advanced AI capabilities.
The goal is to embed AI into everyday workflows across the organisation.
What this means for the industry
- Generative AI could significantly improve productivity across banking operations and knowledge-based roles.
- Banks are moving from isolated AI pilots toward enterprise-wide AI platforms.
- Customer service, software development and compliance functions may see the largest early impact.
- AI copilots could become standard tools for bankers and financial analysts.
- Institutions that successfully integrate AI into core workflows may gain a significant competitive advantage.
