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I woke up for weeks with impeccable scores from my Oura ring – why the heck did it feel like my body was run over by a Chevy Silverado? As a former D1 collegiate athlete, I know what tired feels like. This was different.

So I decided to take it easy – put down the dumbbells, lace up my trusty OnCloud sneakers, and stick to neighborhood walks. I'd been crushing it in the gym for months, so a rest week made sense. Then two weeks rolled into three: did someone pour concrete into my legs? This was some bone-deep exhaustion. The numbers I were seeing every morning on my app were not lining up to the unease I was experiencing.

Maybe it's because I'm in my 30s now, but I actually made a doctor's appointment and asked to get my labs checked. What came back was my first medical diagnosis since I broke my arm four-wheeling in Pismo Beach over a decade ago. Can you tell I don't love going to the doctor's office?

The labs came back – anemic. Which is just a fancy word of saying I’m not consuming enough iron by a long shot. Whew. I knew something was off and this is an easy fix – taking some supplements, eating more spinach, and a few other dietary changes.

Not excited about all of them (I’ll spare you the details of my beef liver consumption) but I am excited to get my energy back. The whole experience made me think about something bigger:

Today, most AI is doing:

It validates signals within a system.

My Oura Ring validated my recovery metrics through the boundaries of the dataset it was instructed to do so. It confirmed the hours I was sleeping and my heart rate during that period. That was the data it used to tell me my body was ready. It didn’t know to look for any other biological signs. It only knows what it's been taught to measure. And maybe that’s a good thing?

That's not a failure of the technology. That's just what it is.

We're living in the era of validation – not prediction. AI is strongest at Stage 3, where it knows its stuff at validation and testing, but leaders live and breathe at Stages 2, 4, and 5: noticing the signal, interpreting what it means, and deciding what to do about it.

Great leaders can’t just read dashboards – they're this generation's Sherlock Holmes. They sniff around and they trust their instincts even when the metrics might say everything is fine. Leadership isn't about trusting the data, it's about knowing when to question it.

Right now, culturally, AI is being framed as a replacement. Investors talk about autonomy, media talks about superintelligence, and there’s fear AI is going to drastically minimize the workforce. But in practice? Most companies are using AI for validation, testing, A/B optimization, risk scoring, fraud detection, and pattern recognition. This is evolutionary, not revolutionary – it improves efficiency, but it doesn't replace human judgment at the top of the decision tree.

Validation isn't leadership. Leadership is interpretation and direction-setting.

My Oura Ring gave me data. My body gave me wisdom. I needed both, but I had to know which one to trust when they conflicted. That's the skill we need in the age of AI – not blind faith in dashboards, not rejection of technology, but the judgment to know when the pattern is wrong. Your body knows something the algorithm doesn't.