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Practical Magic  /  Society

Venture capitalists who use AI platforms to find deals are 20% more likely to invest in people outside their personal social circles.

These data-driven investments perform just as well as, or better than, the deals made through traditional old boys club networks. For decades, the industry has insisted that face-to-face networking is the only way to find high-quality startups. This research shows that algorithms can effectively replace the gatekeepers of Silicon Valley. Technology is finally breaking the reliance on elite connections and personal referrals. It means that where you went to school or who you know is becoming less important than what your data says about your potential.

Original Paper

Breaking Network Barriers in the Era of Data-Driven Venture Capitalists

Melissa Crumling

SSRN  ·  4941953

Information frictions make it difficult for venture capitalists (VCs) to identify promising startups outside established networks. I examine whether the use of data platforms and artificial intelligence tools lowers these frictions and reshapes VC investment decisions. Following adoption, VCs increase out-of-network investments by approximately 20%, focusing on startups outside their geographic and industry specialization. Using plausibly exogenous variation in VCs' ability to hire data-related