Unreal Intelligence
Ninety-five percent of corporate AI projects are returning basically nothing. Not a little — nothing. And the MIT research behind that number isn't an indictment of the technology. It's an indictment of how companies pick, scope, and measure AI work. Karl's position: the failure is organizational design wearing an AI costume. The models are fine. The deployment isn't. You'll walk out with a six-step checklist for building agents that actually pay off, a clear framework for why "find the dollar before the use case" changes your prioritization completely, and an honest look at why broad mandates like "transform customer service with AI" aren't projects — they're wishes. If you've got a pilot that looked good in the demo and went quiet in real work, this episode is the postmortem you didn't know you needed. Follow Unreal Intelligence so you don't miss the next one.
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