Why AI Apps Fail in Production (And How Google Solved It)

Why AI Apps Fail in Production (And How Google Solved It)

22 July 2026 • 01:00
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Futur-IA: Why AI Apps Fail in Production (And How Google Solved It)

Author: Google Cloud Tech – Duration: 00:13:09

Ready to build your own AI prototyping sandbox with AI Studio and Google Cloud? Discover this programming workshop → https://goo.gle/4ylGxOw

Building a cool AI prototype over a cup of coffee is easier than ever. But within a large enterprise, vibe coding quickly hits a wall of infrastructure, data compliance, and security guardrails. In fact, only 5% of AI prototypes make it to production. So how does a platform with a billion users like YouTube scale quickly without breaking things? In the first episode of Emergent, Stephanie dives into engineering with AI leaders to break down YouTube's prototyping stack and show how they deliver AI capabilities quickly and safely. Learn how to change your mindset, adopt throwaway code, and create a sandbox that allows your team to fail safely and at high speed. Subscribe to Google Cloud Tech for deeper analysis of cloud architecture and AI development workflows → https://goo.gle/GoogleCloudTech

#GoogleCloud #GoogleAIStudio #Vibecoding Speakers: Stephanie Wong, Addy Osmani, Benji Bear Products mentioned: Google AI Studio, Google Cloud

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