The gap between surface-level use and deep understanding is widening.
New York Times columnist Ezra Klein applies Marshall McLuhan's 60-year-old media theory to AI and finds that these tools reshape how we think. But the deeper problem isn't the AI itself. It's who controls the system that remembers you.
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How AI adoption plays out in your IT department is a blueprint for how it will play out everywhere else. IT controls the gates to technology and data. That makes them the most important player in your AI journey.
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People from regulated industries say they can't use AI coding tools. But these are the same people making AI decisions for their companies. That's a problem.
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AI coding tools are teaching non-developers something unexpected: how to think like engineers. Not the programming part. The part about structuring information, managing context, and organizing work so the next step can actually use what you've created.
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LLMs are language models. They process text. This simple fact has real consequences for how you store knowledge, create documentation, and choose file formats. Turns out, everyone who hated PowerPoint was right all along.
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From fighting with pivot tables to having a conversation. Why conversational data analysis is one of AI's most powerful and underappreciated use cases.
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