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#41 Viet Le: Building, selling, and investing at the application layer of AI

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Manage episode 498045678 series 3681249
Content provided by Center for Digital Technology and Management (CDTM), Center for Digital Technology, and Management (CDTM). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Center for Digital Technology and Management (CDTM), Center for Digital Technology, and Management (CDTM) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Insights from Viet Le, an Early-Stage VC and Partner @ General Catalyst: Betting on Young, Naive Founders and Navigating the AI Hype In this episode, we dive into a conversation with Viet who shares his unique investment philosophy focused on young, naive first-time founders. The discussion covers controversial opinions on the current AI hype and the importance of building and selling efficiently in the early stages. Viet also provides personal background on transitioning from a founder to a VC and offers insights on making independent investment decisions. Various topics such as defensibility in AI software, opportunities in the application layer of AI, and the importance of a bias for action in building startups are explored, along with the potential for AI-native companies to disrupt traditional industries. 00:00 Diving Right In: No Introductions Needed 00:30 Controversial Opinions in AI and VC 01:48 Founder Preferences: Young vs. Experienced 02:56 The Importance of Building and Selling 03:22 From Founder to VC: A Personal Journey 04:33 Making Independent Decisions in a FOMO Market 04:59 Investing in Gen AI: Insights and Examples 07:10 Defensibility in AI Software 09:23 The Future of AI in Coding and Applications 15:52 Consumer AI: Opportunities and Challenges 16:51 Essential Skills for Founders 22:37 Startup Advice: Action Over Whiteboards 25:56 Rapid Fire Questions and Final Thoughts

  continue reading

52 episodes

Artwork
iconShare
 
Manage episode 498045678 series 3681249
Content provided by Center for Digital Technology and Management (CDTM), Center for Digital Technology, and Management (CDTM). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Center for Digital Technology and Management (CDTM), Center for Digital Technology, and Management (CDTM) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Insights from Viet Le, an Early-Stage VC and Partner @ General Catalyst: Betting on Young, Naive Founders and Navigating the AI Hype In this episode, we dive into a conversation with Viet who shares his unique investment philosophy focused on young, naive first-time founders. The discussion covers controversial opinions on the current AI hype and the importance of building and selling efficiently in the early stages. Viet also provides personal background on transitioning from a founder to a VC and offers insights on making independent investment decisions. Various topics such as defensibility in AI software, opportunities in the application layer of AI, and the importance of a bias for action in building startups are explored, along with the potential for AI-native companies to disrupt traditional industries. 00:00 Diving Right In: No Introductions Needed 00:30 Controversial Opinions in AI and VC 01:48 Founder Preferences: Young vs. Experienced 02:56 The Importance of Building and Selling 03:22 From Founder to VC: A Personal Journey 04:33 Making Independent Decisions in a FOMO Market 04:59 Investing in Gen AI: Insights and Examples 07:10 Defensibility in AI Software 09:23 The Future of AI in Coding and Applications 15:52 Consumer AI: Opportunities and Challenges 16:51 Essential Skills for Founders 22:37 Startup Advice: Action Over Whiteboards 25:56 Rapid Fire Questions and Final Thoughts

  continue reading

52 episodes

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