This Week in Startups Why data is the biggest AI bottleneck (feat. Arthur Mensch of Mistral AI) | E2212
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Nov 20, 2025 
Arthur Mensch, Co-founder and CEO of Mistral AI, dives into the real bottleneck for AI progress: a shortage of data. He discusses how enterprises can enhance the value of their AI initiatives and why Mistral's mission is to empower users to be independent. Mensch also explores the difference between open-source and closed models, warning against over-optimizing benchmarks for AI. With insights on robotics and the regulatory landscape in Europe, he reveals the challenges of building effective AI applications in today's fast-paced environment.
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Zipline's Docking Trick At Retail Chains
- Jason describes Zipline docking setups at Starbucks and McDonald's to avoid building new depots.
- This illustrates incumbents needing to adapt networks rather than being instantly displaced.
Start From Problems, Not Models
- Start AI projects from a business problem, not from the model.
- Iterate by collecting data on edge cases and improving the model until it delivers measurable enterprise value.
Plan For A Long Transition To Autonomy
- Build internal capabilities so Mistral (or vendors) can eventually hand off systems and disappear.
- Expect a 10-year transformation and maintain iterative monitoring after deployment.