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What Great AI Founders Do Differently | Laura Modiano | OpenAI France

OpenAI16 July 2026Watch on YouTube

Description

What separates the most successful AI founders? Laura Modiano, Founder Experience at OpenAI, shares the lessons she sees across Europe's startup ecosystem—from testing and listening to customers to shipping quickly. Filmed at OpenAI France event, this voxpop video explores what it really means to build an AI-native company.

What you'll learn

  • Successful AI founders prioritize testing and listening to customers to better adapt their product
  • Rapid iteration and quick product launches are essential for AI companies to keep moving forward
  • Building AI-native companies requires fundamentally different thinking compared to traditional software businesses

Frequently asked questions

What is the main difference between successful and less successful AI founders?
According to Laura Modiano, successful AI founders focus on customer-centric testing, listening to feedback, and rapid iteration, which enables them to learn quickly and adapt their product to real needs.
Why is rapid iteration important for AI companies?
Rapid iteration allows AI companies to keep moving forward, incorporate customer feedback, and continuously improve their products, which is crucial in the rapidly evolving AI landscape.
What does it mean to build an AI-native company?
Building an AI-native company means thinking fundamentally differently than with traditional software companies, where AI is not just a feature but the core element of business strategy and product design.

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