Questions:
• How are AI and automation changing the makeup of quant research teams?
• Which skill sets are becoming redundant—and which are now essential?
• What is the actual ROI of replacing headcount with intelligence tools?
• How do you balance team reduction with the need to maintain innovation, oversight, and explainability?
• How do you interpret the “tsunami of intermediation” — where LLMs and agents now sit between data, models, and decision-makers?
• How do we validate the decisions of AI agents in portfolio construction, signal generation, or risk models?
• How do you plan talent strategy and workflow design in this rapidly evolving landscape?