What Banking Leaders Think About AI – and What They’re Missing

Daniel Faggella

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and many global enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders.

What Banking Leaders Think About AI - And What They're Missing 950x540

The AI conversation has made it into the C-suite at large banks. Leaders from Citi to JP Morgan are considering how to respond to their competitors' press releases and looking to craft winning AI strategies and adopt low-hanging fruit AI applications in their business.

They're seriously thinking about AI in ways that will prove productive for the business in the coming three to five years. In other ways, not so much. Banking leaders are thinking about:

Low-Hanging Fruit AI Applications
AI as an Efficiency Driver
Everyone is Doing AI

There is a lot that leaders at large banks are missing, and they're falling for marketing and AI hype they should really avoid.

In this article, we outline three common themes in the AI thinking that we find among banking leaders in the United States and Europe, as well as some of the important points that they're overlooking.

We discovered these themes as part of our AI Opportunity Landscape research in financial services, for which...

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