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It is found that the gender composition of the market shapes how sellers learn from the advice, and where prices settle as a result, which reverses what recent evidence on gender and AI would predict.
Problem definition: People's trust in AI advice diverges as they use it, deepening for some and eroding for others. We study this divergence in oligopoly pricing, where advice cannot prove itself: rivals'responses decide whether it pays off. Methodology/results: In a laboratory experiment, 273 sellers compete across 91...
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