Your company just announced an “AI transformation initiative.” Your first thought: Am I being replaced? That fear is keeping you from seeing the real threat, which isn’t the AI your company adopts. It’s the AI you don’t.
Tag Archives: Artificial intelligence
Why 95% of AI Projects Fail (And How to Join the 5% That Don’t)
We’ve all seen the headline: according to MIT’s “GenAI Divide” report, roughly 95% of enterprise generative-AI pilot programs deliver no measurable financial return (though the method used wasn’t as thorough as one would like). Sounds catastrophic, right? Wrong. Most AI initiatives are experiments, and that’s exactly what they should be. The only failure worth avoiding is failing without learning.
What’s Possible Now?
A solopreneur just launched a product that would’ve required a 12-person team two years ago. A regional bank is approving loans in 4 minutes that used to take 4 days. A manufacturer eliminated 80% of their customer service queue without firing anyone; they redeployed them to solve complex problems AI couldn’t touch.
“Show Me Something You Can Do That I Can’t”: Why Most Professionals Are Trapped in the AI Knowledge Bubble
Over eight years ago, I founded Netek, an affective computing startup exploring how to measure human emotion through technology. This was before “AI” dominated every conference keynote and LinkedIn bio.
The AI Paradox: Why ‘Democratization’ Is Creating a New Elite
There’s a comforting narrative making the rounds in boardrooms and LinkedIn posts: “AI will democratize excellence. Everyone will perform like the best.”
It’s a nice story. It’s also dangerously wrong.
Why AI-First Companies Fail Without People-First Culture
Here’s what most leaders get wrong about AI transformation: they think it’s a technology problem. It’s not. It’s a human problem that technology can solve, but only if you build around people, not despite them.
AI Isn’t an Add-On. It’s a Reinvention Mandate.
I was talking with a collaborator last week who kept framing AI as something we’d “layer into” existing processes. Make the workflow faster. Reduce some costs. Optimize what we already have.