Thomas Laffont from Co2 discusses his career trajectory from a French language school in New York to Yale, then to the mailroom at CAA, and eventually into the world of venture capital. Laffont emphasizes the importance of building one's own models to truly understand an investment thesis, drawing parallels between pitching a stock and pitching a movie, advocating for simplicity and clarity. He reflects on Co2's early investments, including a successful bet on Apple driven by the rise of semiconductors in the iPod, and later, a foray into private markets with investments like Snapchat. Laffont also touches on the firm's approach to AI, emphasizing the significance of data science and infrastructure. He underscores the need for democratized access to investment opportunities, particularly in the context of AI-driven companies.
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