Over the past few weeks, something has felt off with AI tools we rely on every day. They forget context. They miss obvious details. They agree instead of challenge. And they confidently return answers that are just wrong. In this conversation, we unpack what is really happening with large language models, why faster output is not the same as better thinking, and what this means for marketing, sales, and content teams moving forward. We talk about: Why AI can feel less reliable even as it becomes more powerful The danger of speed without measurement or strategy Where authenticity and human judgment still matter most Why marketing teams may need to start operating more like product teams What we believe the next phase of AI adoption looks like heading into 2026 AI is not the problem. How we use it might be. This is a candid, unfiltered discussion about where AI helps, where it fails, and how teams can cut through the noise instead of adding to it.

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