Could AI be the unbiased co-pilot in pre-seed investing? Let's discuss it! We're all aware that humans are susceptible to biases. And these biases can creep into one's decision-making process as VCs, especially when it comes to pre-seed investing. Enter AI, our tech buddy, to level the playing field. Here's the thing - AI doesn't care if a founder went to Harvard or if their startup's located in a tech hub. It's not swayed by a founder's charisma or the latest trends. It just looks at the cold, hard data. So AI could help us make unbiased assessments in areas like: 1. Founder evaluation: AI can sift through data to find correlations between successful startups and their founding teams' attributes - all without the usual biases regarding school, background, or industry connections. 2. Market potential: AI algorithms can assess market size, growth rate, and competition objectively, sidestepping the hype and buzz that often surround trendy sectors. 3. Startup traction: When it comes to evaluating early traction, AI can analyze data points like user growth and engagement, immune to the bias that might come from a slick demo or compelling pitch. By incorporating AI into the toolbox, one could be better equipped to make data-driven, unbiased decisions. But here's the question: Can AI fully eliminate human bias in pre-seed investing? Or is there a sweet spot where human judgment and AI work together? What's your take?