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.
Related jobs
Jobs that call for the skills explored in this talk.
Matching moments
18:19 MIN
Startups using AI for efficiency and growth
How is AI changing the leadership role?
17:21 MIN
Looking past the hype to find real AI opportunities
The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?
14:18 MIN
How AI forces portfolio companies to adapt
The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?
04:00 MIN
How venture capitalists use AI for deal sourcing
The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?
28:21 MIN
Navigating competition between AI platforms and startups
Architecting the Future: Leveraging AI, Cloud, and Data for Business Success
25:29 MIN
Lightning round on future skills and AI trends
The AI-Ready Stack: Rethinking the Engineering Org of the Future
24:35 MIN
The most critical metrics for investing in AI
The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?
38:31 MIN
Previewing the "AI or knockout" conference talk
From Learning to Leading: Why HR Needs a ChatGPT License
Featured Partners
Related Videos
The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?
Justus Lumpe, Konstantin Vinogradov, Nils Eiteneyer & Stephan Wirris
The AI Skills Gap: What Tech Leaders Must Get Right
Thomas Wollmann, Gerrit Einhoff, Kara Sprague & Alexandra Wudel
Behind the Code: How Women Are Powering the Future of AI
Alexandra Wudel, Madalina Florean & Laura Moritz
AI in Leadership: How Technology is Reshaping Executive Roles
Jeff Hausmann, Jasmin Kaiser, Bernd Datler & Sonja Alvarez
AI Sovereignty: What Does It Take?
Clemens Wasner, Boris Hecker, Robin Hermann & Sonja Alvarez
The AI-Ready Stack: Rethinking the Engineering Org of the Future
Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel
Rethinking Customer Experience in the Age of AI
Dr. Saskia Meier-Andrae, Stefan Bär, Daniel Gebler & Keno Dreßel
The End of Software as we know it
Paul Adams
Related Articles
View all articles



From learning to earning
Jobs that call for the skills explored in this talk.




Full-Stack Engineer (£80k-£120k + Equity) at VC-backed AI venture studio
Jack & Jill\u002FExternal ATS
€80-120K
Junior
Docker
Next.js
FastAPI
Kubernetes


AI Developer (Startup / Fullstack met AI Focus)
Verzelen Maes Consultants BV
Ghent, Belgium
Remote
DevOps
NestJS
Node.js
Next.js
+2

Principal Software Architect - Focus: AI Architecture
appliedAI
Remote
Senior
Docker
Terraform
Kubernetes
Software Architecture
+1

