Christian Nagel, Romain Mombert, Shikha Ahluwalia & Justus Lumpe
AI Changed the Game: How VCs Rethink Product, Talent & Technical Moats
#1about 4 minutes
How venture capital firms use AI for their operations
VCs are using proprietary AI tools for talent sourcing, due diligence, and automating tasks like summarizing pitch decks.
#2about 5 minutes
Assessing the defensibility and moats of AI startups
Defensibility in AI startups comes from network effects, proprietary data, or changing the underlying business model, not just UX.
#3about 4 minutes
Comparing vertical and horizontal AI business models
Vertical AI excels in specialized domains like legal or health due to proprietary data, while horizontal tools risk being replaced by agents.
#4about 5 minutes
The global AI landscape across Europe, the US, and China
Europe has strong research capabilities and an active application layer but needs sovereign infrastructure to compete with US dominance.
#5about 4 minutes
Strategies for retaining top AI engineering talent
Retaining top AI talent requires a compelling vision and strong company culture, as great talent attracts more great talent beyond high salaries.
#6about 4 minutes
How AI is impacting existing portfolio companies
AI presents both a threat of product obsolescence and an opportunity for operational automation and feature enhancement for pre-AI era companies.
#7about 1 minute
Identifying red flags in an AI startup pitch deck
A major red flag is simply stating "we use AI for X" or incorrectly claiming AI automatically makes the total addressable market larger.
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