Why AI Projects Fail: The Human Factors Analysis
Most AI implementations fail not because the technology doesn't work, but because organizations treat them as technology projects instead of people projects. This analysis reveals the four human factors that destroy 80% of AI initiatives.
The False Promise of AI Deregulation
The House's proposed decade-long ban on state AI regulation creates a dangerous oversight vacuum just when we need thoughtful rules to ensure AI systems serve human needs rather than exploit our vulnerabilities.
Conway's Law in the Age of AI: How Communication Shapes Organizations
As AI agents reshape organizational communication patterns, Conway's Law works both ways—our systems mirror our structures, but those systems then reinforce and calcify those same structures, creating a feedback loop that AI will dramatically amplify.
Why I Traded My Apple Watch for a Casio
In trading my Apple Watch for a simple Casio, I'm rediscovering what it means to listen to my body rather than outsourcing my health decisions to algorithms and activity rings.
The Artificial Ingredients in Our Social Diet
Just as we learned to question what was lost when we processed our food supply, we must now examine what nutrients vanish when AI processes our human connections.
Why Stakeholders Push Boundaries (and How to Respond)
From a small-town TV station owner's creative requests to modern enterprise clients, I've learned that ambitious feature asks are often just thinking out loud – the real skill is understanding the underlying need.
