AI in Finance for Professionals Dealing with Errors, Overhype, and Constant Learning Pressure

About this episode

The episode discusses the practical applications and limitations of AI in financial modelling, emphasizing the need for guidance and understanding.

In this episode of The Mod Squad , Paul Barnhurst, Ian Schnoor, and Giles Male share their real experiences using AI in financial modelling. They cut through the hype and discuss what AI actually does well, where it still struggles, and how professionals should be thinking about using it today. From building models to handling workflows, the conversation highlights both the value and the limitations of AI tools in real work. Expect to Learn Where AI actually helps in finance and modelling work Why most “one-click solution” claims are unrealistic The importance of checking and guiding AI outputs How instructions and structure improve AI results Here are a few quotes from the episode: “It’s not a one-click solution. You still have to check everything.” – Giles Male “You will have to understand every line to guide AI properly.” – Ian Schnoor AI is powerful, but it’s not a shortcut to good work. It still needs guidance, structure, and strong fundamentals. The people who benefit most will be the ones who understand both the tools and the work behind them. For now, the best approach is simple: use it, test it, and don’t trust it blindly. Follow Ian: LinkedIn…

People in this episode

Host: Paul Barnhurst

Guests: Ian Schnoor, Giles Male

Topics covered

• AI in finance
• financial modelling
• AI limitations
• workflow management
• professional development

Keywords

• AI
• finance
• financial modelling
• workflow
• professional development
• limitations
• guidance

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