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CES 2026: Boring AI Is Winning, Fast Money Is Circling, and Most Leaders Aren't Ready
I walked 14 miles of the show floor at CES 2026. Gave a talk on advanced prompting. Talked to VCs, founders, consultants, AI leaders. 5 patterns emerged. All of them point in the same direction. Most companies are walking the other way.
Stop Building Streetlamp Models: The Decision-First Framework for AI Products
Forbes estimates that 85% of AI projects fail to deliver real business outcomes. The common thread in those failures? Teams answered the wrong question. Here's the AI-Question Framework, a tool for driving AI value through picking the right question to help your team avoid the 85% AI death-trap. (By Núria Badia Comas, Guest Author)
When Engineers Say 'It's Beyond Your Understanding,' Here's What They Actually Mean
One engineering leader said this to me on a project 9 months behind schedule. After 34 AI projects, I knew what it actually meant: the problem wasn't the engineers—it was a broken requirements process no one had caught yet.
AI Snowflake: Stop Asking the Wrong AI Question
One of the most common ways projects go sideways is by asking a question that AI cannot answer—or worse, one that doesn’t actually deliver ROI.(AI Snowflakes: short, focused UX for AI insights. Quick provocations designed to spark thinking and sharpen strategy, in under a minute.)
