By Steve Kuo
For those that know me well, you know I’ve always loved fast vehicles. Top Gun is my favorite movie. I even quoted Fast and Furious in my vows. Then, Formula 1 (F1) entered my life a few years ago. I am addicted to this sport. I’ve heard some people say, “isn’t racing boring”. Maybe for some, but this isn’t just stock cars going around in a circle (sorry, NASCAR fans). F1 is the most prestigious motor-racing competition on the planet. I have loved Ferrari since I put that F40 poster on the wall as a kid. Now for those of you new to F1, Ferrari hasn’t been good since the early 2000s. Red Bull and Mercedes have dominated the sport in the last decade.
Do they dominate because of a good car? Totally. But what I learned while watching F1 is that it goes much, much deeper than just a fast car. The more I watched, the more I drew parallelisms to my everyday job. Anita Elberse wrote a great article called “Number One in Formula One” in the Harvard Business Review that talks about some of the leadership lessons behind Mercedes’ winning streak. Here are the six highlights:
- Set the highest standards – for everyone
Cue the well-oiled machine pun. Everything needs to be in tip-top shape because small lapses compound at 200 mph in F1. That means the garage is clean; no tool is out of place. In data and technology, that could mean every number has a comma in the thousandth place for ease of viewing. Every table and graphic is aligned. Data models are clean and have consistent definitions. Leaders set non-negotiable standards for quality, and teams will move faster because there’s less rework.
- Put people front and center
F1 is about cars but ultimately, it’s a people sport. Engineers, strategists, mechanics, and drivers must operate in complete sync. The same is true in data and technology. Tools don’t create impact, people do. Invest in skills so the team can ask better questions and translate technology into real outcomes.
- Analyze mistakes – even when winning
I wish Ferrari did this more…but the best teams don’t wait for losses to review performance. Success should never end the analysis. A model that performs well should still deserve a post-mortem. Leaders who institutionalize learning avoid confusing short-term success with long-term resilience.
- Foster an open, no -blame culture
Blame slows the team down. Goals should focus on improvement, not punishment. Fear kills transparency. Teams need to feel safe flagging issues, limitations, or risks early, so leaders get better information and better outcomes.
- Trust Superstars but maintain authority
We’ve all heard the “superstar” term thrown around before. All teams rely on exceptional talent, but no one is better than the team or the strategy. Lewis Hamilton has given up a race win to a deserving team a handful of times. High performers should still be empowered, but leaders balance autonomy with clear ownership and accountability.
- Relentlessly battle complacency
In F1, yesterday’s innovation is today’s baseline. Standing is still falling behind. Technology leadership demands the same mindset. The system today may be obsolete tomorrow. Challenge assumptions, revisit architectures, and push teams to evolve.
In the end, F1 isn’t all about cars. It’s about leadership under pressure. The teams that win consistently don’t chase novelty for its own sake. They set uncompromising standards, empower people, learn relentlessly, and don’t confuse success with certainty. In a world where tech keeps accelerating, leadership who think like race teams will stay ahead.
