We construct a large dataset of transcribed investing podcast episodes and identify over 100,000 time-stamped discussions on individual stocks to study how this coverage relates to trading activity and investor outcomes. We find that podcast discussions are associated with significant increases in stock-level turnover, retail trading among Robinhood users, and absolute returns with effects that are largest on the day of release and persist on subsequent days. Responses are larger for podcasts with greater audience reach and for discussions that are forward-looking or contain explicit buy or sell recommendations. Moreover, investor reactions to earnings announcements are substantially amplified when these events are accompanied by podcast coverage, consistent with podcasts facilitating the diffusion and interpretation of publicly available information. In line with this mechanism, trading responses are most pronounced among retail investors, who face higher information frictions. We then assess whether podcast-driven trading is beneficial to investors and find no evidence that trading strategies based on podcast content consistently outperform passive benchmarks. Instead, such strategies often underperform at realistic implementation horizons. Taken together, our results suggest that investing podcasts accelerate the incorporation of publicly available information into prices rather than providing an exploitable information advantage.