AI Agents

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AI agents are likely to be one of the key trends in AI this year. In the talk, Talamas presented his recent paper with Enrique Ide (2024) on the topic. The paper builds on the canonical model from the organizational and knowledge economy literature (Garicano, 2000), introducing AI a form of knowledge that can be scaled and, unlike human knowledge, is not constrained by time. Its key result is that the degree of AI autonomy will be critical in determining its winners and losers. Autonomous AI

AI has progressed rapidly due to advances in computational power and data availability, growing from 2 to over 100 zettabytes in 15 years. It is here to stay, driven by the continued growth of data, favorable attitudes among younger generations, and its demonstrated productivity gains. AI will improve the ability of the asset management industry to deliver investment insights by processing unstructured and real-time data, enriching the pool of data beyond official statistics.