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The Real Reason AI Fails

AI adoption is not a technology problem, it's a people and process problem. In this episode of The AI Guys, we break down why so many AI initiatives stall, fail, or never make it past experimentation, even when the technology itself works perfectly.

Lee Dickson and Rich Swier are joined by AI strategist and community leader Maria Becerra to explore what actually drives successful AI adoption inside organizations. From change management and mindset shifts to data readiness and workflow design, this conversation highlights why AI can’t simply be “plugged in” to existing systems and expected to deliver results.

You’ll hear why automating outdated workflows limits AI’s value, how agentic workforces are reshaping roles across companies, and why every employee will soon manage AI agents rather than perform repetitive tasks themselves. The episode also covers common red flags that derail AI projects, including unclear ROI, lack of ownership, fragmented documentation, and unrealistic expectations of AI perfection.

If your organization is serious about moving from AI experimentation to real operational impact, this episode offers a grounded, experience-driven roadmap for what actually works—and what to avoid.

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