Why Most Agentic AI Products Fail

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.