Executive Summary
NYU's Vasant Dhar has successfully built an AI replica of legendary valuation expert Aswath Damoderan, creating what may be the first systematic application of elite fundamental analysis to entire market indices. Dhar's 'Damoderan bot' emerged after traditional fine-tuning approaches failed, requiring decomposition of Damoderan's thinking into quantitative models married with narrative frameworks. The breakthrough came from identifying Damoderan as a 'super-forecaster' who anchors valuations through strategic framing questions rather than biased starting points. When Damoderan evaluated NVIDIA in 2023, his first question was whether AI represents incremental or disruptive technology—a framing that determines market size, competitive dynamics, and margin sustainability. His conclusion that AI is disruptive led to expectations of few winners and many losers, positioning NVIDIA as a dominant player but anchoring margins to semiconductor industry benchmarks rather than software-like economics. This systematic approach, now scalable through AI, could democratize institutional-quality analysis while creating new arbitrage opportunities between human-driven narratives and machine-processed fundamentals. However, Dhar warns of a 'Huxleyan world' where AI becomes a gatekeeper to human activity, potentially creating cognitive decline if used as a crutch rather than an amplification tool.
Key Insights
what Vasant Dhar said“It's possible for him to do it because he can't evaluate 500 companies in a day or even in a week. It's just like too much work. But my thinking was, if we can build a machine like him, why can't we just apply it to the entire index and then use it systematically?”
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