Homo Silicus Goes to Wall Street
TL;DR for operators An AI financial assistant may sound balanced, prudent, and numerate. That is not the same thing as being suitable. The paper behind this article tests leading LLMs on 14 financial decision questions and compares their answers with human responses from a cross-national dataset covering 53 nations.1 The models mostly behave like expected-value machines on lottery-style questions. Give them a risky payoff with clear probabilities, and they often land near the mathematically neutral answer. Very tidy. Very spreadsheet. Very unlike the way many actual clients think when money is uncertain and losses feel personal. ...