"The technology is just getting really sophisticated. You need to have enough sophistication to be able to understand the tech you are assessing," said Matt Hoffman, head of talent at M13. As the demands of the technology landscape evolve, VC firms are re-evaluating the skill sets needed for their teams. This shift signals a larger transformation in how talent is viewed and what expertise is deemed critical for understanding the market and making sound investment decisions.
"We certainly noticed it in the past 3 to 6 months, and like a lot of VC, once it kind of takes momentum, it snowballs, and all the other VCs are doing it," Hoffman elaborated. This collective movement highlights how the escalating complexity of technology, particularly in AI, compels firms to adapt their hiring strategies and rethink what constitutes a valuable background for investment professionals.
"To understand Facebook, you don't need to be technical to get it. You can see how it can make money. For AI, if I tell you I have the best model in the world, how are you, as a non-technical person, going to call my BS on that?" says Deedy Das from Menlo Ventures, emphasizing the critical need for technical knowledge in today's investment landscape. This illustrates the challenge investors face in evaluating AI companies without sufficient domain expertise.
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