The AI Gap Is Real. Here’s How to Stay Ahead.
Mon Feb 02 2026
If AI feels powerful but uneven right now, that is not your imagination. It is a gap forming in real time.
In this episode of What the AI?!, Jeff Keltner and Annie Delgado break down why nearly half of workers still are not using AI at work, while a smaller group of power users is racing ahead. They explain what this growing AI gap means for your job, your team, and your career, and how people quietly end up on the wrong side of it.
They walk through where AI is actually being used today, including desktop agents like Claude Cowork, AI embedded into everyday tools like Gmail, Excel, and Salesforce, and why leaders are already reshaping roles around people who know how to work with AI. Along the way, they unpack Dario Amodei’s warning about the “adolescence” of AI and why organizations are struggling to keep humans in the loop as tools get more capable.
This episode is not about hype or fear. It is about what skills matter now, where AI genuinely helps, where it creates new risk, and how to stay relevant as adoption accelerates unevenly.
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If AI feels powerful but uneven right now, that is not your imagination. It is a gap forming in real time. In this episode of What the AI?!, Jeff Keltner and Annie Delgado break down why nearly half of workers still are not using AI at work, while a smaller group of power users is racing ahead. They explain what this growing AI gap means for your job, your team, and your career, and how people quietly end up on the wrong side of it. They walk through where AI is actually being used today, including desktop agents like Claude Cowork, AI embedded into everyday tools like Gmail, Excel, and Salesforce, and why leaders are already reshaping roles around people who know how to work with AI. Along the way, they unpack Dario Amodei’s warning about the “adolescence” of AI and why organizations are struggling to keep humans in the loop as tools get more capable. This episode is not about hype or fear. It is about what skills matter now, where AI genuinely helps, where it creates new risk, and how to stay relevant as adoption accelerates unevenly.