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The Business Case Against AI Layoffs
I'm not asking you to be kind. I'm asking you not to be dumb. Let me be upfront: this isn't a post about empathy or corporate responsibility. Those things matter, but they're not going to change the mind of an executive who's looking at a spreadsheet and trying to make the numbers work. This is a post about math. And the math says that laying off your workforce to make room for AI is probably going to cost you more than you'll save. Most Companies That Did It Already Regret I
cswecker
Mar 305 min read
Part 5: Measuring Success and Learning from Failure
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
cswecker
Oct 27, 20256 min read
Part 4: Purposeful Implementation
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...
cswecker
Oct 13, 20257 min read
Part 3: Keeping Humans at the Center
The Difference Between Augmentation and Replacement There's a moment in every AI implementation where you face a choice: Do we use this...
cswecker
Oct 6, 20256 min read
Part 2: Building Trust with AI
The Foundation Everything Else Depends On Trust is like reputation—it takes years to build and seconds to destroy. With AI...
cswecker
Sep 29, 20255 min read
Part 1: Why We Need a Third Way
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...
cswecker
Sep 22, 20255 min read
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