Field Notes

People love to blame the algorithm. The algorithm changed. The algorithm buried my post. The algorithm hates me.

Here's the thing: the algorithm is a mirror. It shows people what they already want to see. If your content isn't getting distributed, it's because people aren't choosing it. That's not an algorithm problem. That's a relevance problem.

Fix what you're saying before you blame who's listening.

A logo on a car is not a strategy. It's a sticker. The brands that win in motorsport aren't buying impressions — they're buying access, alignment, and a story they can tell that no one else can.

If you can't explain what a sponsorship does for you beyond "brand awareness," you don't have a sponsorship. You have an expense.

I talk to a lot of executives who know they should be building a personal brand but can't bring themselves to start. They're afraid of saying the wrong thing. Afraid of looking self-promotional. Afraid of being judged by their peers.

Meanwhile, their competitors are out there building audiences, earning trust, and getting invited to the conversations that matter.

The risk of posting something imperfect is small. The cost of being invisible is enormous.

The conversation about AI replacing jobs misses the point entirely. AI doesn't replace people. People who learn to use AI replace people who don't.

It's not about the tool. It's about the willingness to change how you work. That's always been the differentiator — long before AI showed up.

In racing, the pit wall makes real-time decisions with imperfect data. Tire degradation models, weather forecasts, competitor strategy — none of it is certain. But you still have to call the strategy.

Content works the same way. You'll never have perfect data on what your audience wants. You won't know if the post will hit or miss until it's out there. The teams that win aren't the ones with the most data. They're the ones who make decisions fastest and adjust when they're wrong.

Ship it. Adjust. Ship again.