At the start of a new year, it's human nature to want a crystal ball: What lies ahead, and how will it affect us? This feeling is particularly acute in times of uncertainty, when the ability to engage in meaningful foresight can feel elusive at best. And whether the world is objectively more volatile, it certainly feels that way to CEOs: Based on our analysis of earnings calls, 2025 saw a significant spike in discussions about uncertainty, with little sign of abating in 2026.
LLMs, in contrast, interpret context and language structure, allowing them to recognize that phrases such as "growth slowed less than expected" are positive, despite negative words, according to a study by S&P Global Market Intelligence. The findings demonstrate that LLMs can extract insights from earnings call transcripts and convert them into actionable trading signals. These AI-driven signals closely match those from traditional, rules-based sentiment models, showing both methods measure the same underlying reality.
Perplexity is enhancing its Finance dashboard by adding live transcriptions of quarterly earnings calls for Indian public companies and providing a schedule for post-results conference calls.
