This article examines how the frequency and sentiment of AI mentions in earnings calls have evolved over time and whether these patterns can indicate a company's long-term growth potential. To uncover these insights, we conducted an exploratory analysis of earnings call transcripts from companies across diverse sectors leveraging LSEG MarketPsych Transcripts Analytics (MTA) API. Additionally, we developed thematic portfolios based on these insights and tracked their historical performance to assess whether investing in AI-focused companies can yield significant returns.
The article is structured into three sections: setting up the dataset, conducting exploratory analysis, and building thematic portfolios.
The full article can be found here