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Beyond the Efficiency Metrics After a year of AI implementation, here's the number everyone wants to know: 20% productivity gain. But that number tells you almost nothing about whether our implementation actually succeeded. Did we make work better or just faster? Did we enhance human capability or diminish it? Did we build something sustainable or create technical debt? Are our people thriving or just surviving? This week, let's talk about measuring what actually matters and

Solving Real Problems, Not Creating New Ones I need to tell you about Marty the Robot. Marty is my grocery store's $35,000 "innovation"—a...

The Difference Between Augmentation and Replacement There's a moment in every AI implementation where you face a choice: Do we use this...

The Foundation Everything Else Depends On Trust is like reputation—it takes years to build and seconds to destroy. With AI...

The AI Conversation We're Not Having Every discussion about AI seems to devolve into the same tired debate: Will AI save us or destroy...

There’s been a lot of buzz the past few weeks about a new MIT study that people are summarizing with headlines like  “AI rots your...