Everyone Wants AI. No One Knows Why.

"We need AI." "We should be doing something with AI." "What's our AI strategy?"

And every time I hear it, I have the same reaction: What the fuck are you actually trying to do?

Not dismissively. Genuinely confused.

Because I've sat in enough rooms, with enough smart people, across government, nonprofits, community orgs, people who care — to know that most people asking for AI don't know what they're asking for. And more importantly, they haven't stopped long enough to find out.

I've spent the last decade inside systems. Fixing them. Rebuilding them. Trying to make sense of them.

Workflows that don't make sense. Teams that don't talk to each other. Data that exists but no one trusts. Processes that have been running on autopilot so long that nobody remembers why they were built that way. And somehow, things still "work." Barely. Held together by good intentions, overworked people, and a lot of invisible effort that never shows up in any report.

And now AI shows up — and suddenly everyone thinks: This is it. This is the thing that's going to fix everything.

But here's what I've actually seen: AI doesn't fix broken systems. It exposes them.

Automate a bad process? Now it's just a faster bad process.

Layer AI on top of unclear decision-making? Now you've got confusion — but with confidence.

Feed messy data into a model? You don't get intelligence. You get well-articulated bullshit.

And the wild part is — deep down, people kind of know this. You can feel it in the room. There's this underlying tension of "we should be doing something… but we don't really know what that is." So the motion becomes the strategy. And AI becomes the thing that justifies it all.

This isn't actually about AI. It's about something much more uncomfortable: clarity.

Most organizations don't truly understand how they operate, why they make the decisions they make, or what's actually working versus what's just been accepted as normal. They just know something feels off. Something's heavy. Something's not working the way it should. But the pressure to keep moving is relentless — and slowing down to examine the foundation feels like a luxury nobody can afford.

So instead of asking why, we reach for solutions. AI just happens to be the most attractive one right now.

And this isn't just an organizational thing. This is a human thing.

For most of my life, I did the exact same thing. I optimized before I understood. I built before I reflected. I chased outcomes without ever really asking: what am I actually doing, and why?

I followed the path that made sense — do well in school, build a career, be reliable, be "good." And on paper, everything worked. But internally, there was always something off. A low hum of misalignment I couldn't quite name. So instead of sitting with it, I kept moving. Kept building. Kept performing. Because stopping would've meant confronting something I didn't understand yet.

It wasn't until things actually broke — personally, emotionally, mentally — that I was forced to stop and look at the system I had built for myself.

And that's when it hit me: I didn't have a tools problem. I had a clarity problem. I had been automating around the real question for years.

Same thing I'm now seeing everywhere with AI.

Organizations are doing what people do. Reacting. Adapting. Trying to keep up. Without ever stepping back and asking: does this even make sense?

AI doesn't let you hide from that — which is what makes it both powerful and dangerous. Because if you don't understand your system, AI will scale your confusion. Small inefficiencies become amplified misalignment. Bad decisions happen faster. The disconnect between people and their work grows deeper. And the worst part? It all looks polished. The outputs are clean, the dashboards are beautiful, and nobody can quite explain why nothing is actually improving.

So when someone comes to me and says "we want to implement AI," I don't think about tools or models or automation. I think about questions.

What's actually broken? Where do decisions slow down or disappear entirely? What are people doing that no one has questioned in years? What's being measured — and does it even matter?

Those aren't AI questions. They're human questions. And most of the time, the honest answers are uncomfortable. Because until you sit with them, AI is just noise. Expensive, impressive, convincing noise.

Maybe that's the real shift we're in right now. Not a technological one. A philosophical one.

We're being forced to confront something most people spend their whole lives avoiding: Do I actually understand how this works?

Not just the software. Not just the workflow. The decisions, the assumptions, the invisible rules everyone follows and nobody wrote down.

Not just systems. Not just organizations. Ourselves.

Because the truth is — most people don't want AI. They want clarity. They want direction. They want relief from the complexity of everything they've built, inherited, and are now responsible for. AI just feels like a shortcut to get there.

But there are no shortcuts. Not in systems. Not in life.

You don't get to automate understanding. You have to sit in it, question it, break it, rebuild it. That's slow. It's uncomfortable. It doesn't make for a great conference slide. But that's the work.

AI doesn't replace that work. It demands it. And the clearer you are going in, the more powerful it becomes. The less clear you are, the more damage you can do — faster, and at greater scale, than ever before.

The people and organizations that figure that out early? They're not going to win because they used AI. They're going to win because they finally understood what they were doing in the first place.

That's always been the real work. AI just made it impossible to ignore.