What if venture capital is finally getting the reset it desperately needed? And what does that mean for the qualities and skills required for future founders, startup leaders, and even investors? In this episode of Poets & Thinkers, we explore the future of venture capital and startup building with Pascal Unger, managing partner at pre-seed VC firm focal. From his base in Miami, Pascal brings a unique perspective shaped by his Swiss roots and global experiences spanning coding, consulting at BCG, and finance before diving into the venture world.

Pascal takes us on a journey through the evolution of software – from systems of record in the 1980s to systems of engagement in the 2000s, and now to systems of intelligence that can automate entire workflows rather than just optimize them. He reveals why this shift is creating what many VCs believe to be the largest market opportunity in history, as software can now target not just software budgets but headcount budgets and enable companies to do exponentially more with existing resources.

Through compelling examples of how his portfolio companies are building data moats and reducing friction to adoption, Pascal illustrates what it takes to win in this new paradigm. However, this platform shift also challenges the VC model to its core because small teams can now go further and faster than ever, start generating revenue early, without requiring to raise a lot of venture capital.

Pascal challenges conventional wisdom about startup building, arguing that distribution and go-to-market strategy are now more critical than ever before. He shares his framework for assessing founders across six key dimensions – from learning speed to moral compass. His insights on the “liftoff round” concept and the compression of funding cycles offer a glimpse into how venture capital itself is being reimagined for the AI era.

In our discussion, we explore:

• Why software is evolving from optimizing workflows to automating entire outcomes
• How the trust barrier affects AI adoption and why humans still need to stay in the loop
• Why data moats and distribution strategies are more crucial than ever for startups
• The six dimensions investors should use to assess founders in an AI-first world
• How building has become more efficient while the bar for initial products has risen dramatically
• Why Europe risks becoming a “museum” due to lack of adaptability
• Where the VC industry is struggling and how it needs to reinvent itself to stay relevant

This episode is an invitation to understand how the fundamental rules of software, venture capital, and startup building are being rewritten in the AI era – and what it takes to thrive rather than just survive in this new paradigm.

Topics

02:45 - Pascal’s journey from Switzerland to BCG to founding Focal VC

05:10 - The evolution of software: from systems of record to engagement to intelligence

07:25 - Why systems of intelligence represent the biggest market opportunity in history

09:50 - The role of trust in AI adoption and keeping humans in the loop

13:35 - How startups can compete against foundation model providers with proprietary data

16:20 - Building data moats through integration strategies and reducing friction

20:25 - Trust-building measures for startups in high-stakes vs. low-risk use cases

24:10 - Why the minimum bar for softwar

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