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Morningstar’s AI Alarm: The Accuracy Just Isn’t There Yet

AI Isn’t Ready for Wall Street’s Spotlight

Morningstar Chairman Joe Mansueto is throwing cold water on the AI hype train in finance, arguing that today’s models still fall short in accuracy—especially when compared to human analysts. In a recent interview, he emphasized that while AI shows great promise, it’s currently not reliable enough to handle the complexities of financial forecasting. Morningstar, known for its data-driven insights, is actively experimenting with AI, but Mansueto sees many limitations holding back its full potential.

Too Many Variables, Not Enough Intelligence

Mansueto highlighted the nuanced nature of financial markets as a key challenge for machine learning systems, which struggle with interpreting qualitative factors like market sentiment or regulatory changes. He also expressed concern that reliance on AI could lead to oversights in risk assessment and long-term investing. Despite advancements in generative AI, the tech remains better at summarizing than predicting—leaving human judgment an essential component in financial decision-making.

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