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Will AI Make Markets Less Efficient?
- Market efficiency is projected to decline due to large language model-driven herd behavior and crowding, creating price deviations from fundamental value while generating predictable mispricings for investors capable of exploiting model-induced reversals.
- Over the next six to 12 months, stock return drivers are expected to shift, with more than 50% attributed to market themes and trends rather than business fundamentals.
- The firm plans to maintain a global workforce of approximately 100 employees without significant headcount changes despite adopting advanced technologies, while continuing to model investor psyche distinctions among institutional, retail, passive, and active participants to forecast returns.
- Quantitative investing strategies will evolve to analyze approximately 15,000 stocks daily with deep access to previously unavailable data points, relying on fine-tuned smaller large language models to capture nuances in specific languages and financial contexts.
- Alpha generation is anticipated to stem from market complexity and the "madness" created by retail euphoria and passive indifference, as the zero-sum nature of outperforming the market restricts success to those with specific informational edges.
- Competitive advantages in the sector will increasingly favor organizations that combine data science and technology expertise with deep experience and context, though past performance is not indicative of future results and all opinions are subject to change.