Every week there are a hundred new AI announcements. Cool tools, exciting capabilities, things you absolutely “have to try.”
Clawdbot (currently OpenClaw), Opus, Antigravity, Nano Banana, and more.
And I get it - I like shiny things too.
But here’s the brutal truth: the only way to stay out of the 95% of AI projects that fail is to start with the business problem, not the technology.
If we start with “let’s implement this AI tool,” we’ve already lost. We’re the hammer looking for nails. We’re solving problems that might not matter and missing the ones that do.
Instead, shine the light on what’s actually important. What are you trying to accomplish? What would move the needle for your team or your organization? How would you measure success? None of that is technology.
Then - and only then - ask: could AI help with this problem? Maybe it could. Maybe it shouldn’t.
But we can’t have the technology conversation until we’re crystal clear on the problem. That’s not optional. That’s the difference between AI that transforms your business and AI that collects dust on the shelf.
Always start with why.