The Investor’s Playbook: What VCs Look for in AI Startups

The Investor’s Playbook: What VCs Look for in AI Startups

The Investor’s Playbook: What VCs Look for in AI Startups

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Episode Summary:

In this episode of In the Blink of AI, host Georgie Healy sits down with Danielle Haj-Moussa, an investor at Main Sequence, Australia’s largest deep-tech VC fund. As the first VC guest on the podcast, Danielle offers a rare inside look into what investors are really looking for in AI startups, how scaling laws are shaping the future of AI, and whether we are in an AI bubble. She dives deep into the intersection of AI and robotics, how foundational AI models are impacting real-world applications, and why Australian founders are uniquely positioned to thrive in deep tech. Danielle also shares her thoughts on AGI, AI bias, and compute efficiency, plus an unexpected insight into why so many deep-tech VCs are also DJs! If you’re a founder, investor, or just someone who wants to understand how AI startups succeed, this episode is packed with valuable insights.

Chapters:

00:00 Scaling Laws & AI's Constant Evolution

04:05 What Makes Deep-Tech VC Different?

07:25 AI and Robotics: The Next Big Leap

09:58 Is the AI Boom a Bubble?

14:49 How to Spot a True AI Bubble

18:25 Scaling Laws: Why They Matter and Their Limits

21:47 The Future of Compute and AI Infrastructure

27:37 What Investors Look for in AI Startups

30:09 Can AI Startups Compete with Tech Giants?

39:38 The AI Job Market: Will AI Replace or Create Jobs?

44:44 AGI: Should We Be Freaked Out?

48:19 The Regulatory Landscape for AI Startups

51:11 VC Myths: Are Investors Just Vulture Capitalists?

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