Large language models can generate investment recommendations instantly. They can process client profiles, summarize market conditions, and produce polished rationales that sound personalized. But there is an important question underneath the fluency. Are these systems actually integrating the full client profile when they make decisions? This paper introduces a troubling possibility. LLMs may only appear to personalize advice while actually relying on a small number of dominant signals, especia...
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