Modern investing is increasingly driven by how information is gathered, processed, and acted upon—often in real time and at massive scale. This presentation explores how innovations in financial information, from alternative data sources to large language models (LLMs), are changing the way investors analyze markets and make decisions. Drawing on academic research and practical examples, the talk explains how professional investors incorporate new information into prices, what advantages (and limits) these tools provide, and how individual investors can thoughtfully use modern AI tools to improve research, due diligence, and portfolio decision-making without losing sight of risk, incentives, and market efficiency.
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