# Why Most Agentic AI Products Fail

Page: https://stenobird.com/podcast/product-mastery-in-the-age-of-ai-and-chatgpt-6048934/why-most-agentic-ai-products-fail
Text version: https://stenobird.com/podcast/product-mastery-in-the-age-of-ai-and-chatgpt-6048934/why-most-agentic-ai-products-fail.md
Podcast: [Product Mastery in the Age of AI and ChatGPT](https://stenobird.com/podcast/product-mastery-in-the-age-of-ai-and-chatgpt-6048934)
Published: 2026-03-01T01:46:14+00:00
Episode link: https://rss.com/podcasts/chatgpt-productmanagement-show/2590195
Audio file: https://content.rss.com/episodes/190950/2590195/chatgpt-productmanagement-show/2026_03_01_01_41_13_5aeb9a8a-05c4-4207-977c-499a7399968c.mp3
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JSON: https://stenobird.com/v1/public/podcasts/product-mastery-in-the-age-of-ai-and-chatgpt-6048934/episodes/why-most-agentic-ai-products-fail
Duration seconds: 506

## Resource

Hot take: most companies building AI agents right now are setting themselves up to fail — and it's not the technology's fault. Deloitte says 25% of enterprises are piloting AI agents in 2025. Salesforce data shows agents succeed on multi-step tasks only 35% of the time. Sendbird's analysis puts the overall project failure rate at 80–90%. We're watching billions flow into systems that fail nearly half the time. The culprit? Applying deterministic product thinking to non-deterministic systems. In Episode 2 of Product Mastery in the Age of AI and ChatGPT, I pull back the curtain on: → Why the CrewAI vs. LangGraph debate is the THIRD most important decision you'll make → The 5-pillar AGENT Framework I built from real fraud detection systems at Walmart → The whitespace opportunity almost no PM is talking about → 3 things you can do THIS week to build agents that actually work This one's spicy. I want to hear where you disagree.

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## Transcript

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