I’ve been in technology for more than 20 years. I’ve lived through Web 2.0, social media, cloud computing, mobile, and now AI. I’ve seen technologies rise, industries transform, and entire business models disappear. Yet I’ve never experienced anything like this moment.
AI is the most dynamic, chaotic, and fast-moving technology I’ve ever seen. And I love it.
Every day brings a new model, a new framework, a new startup, a new capability, or a new prediction about what’s coming next. Trying to keep up with everything is a full-time job. But here’s the mistake many people and organizations make. They think the goal is to keep up. It isn’t.
The goal is to develop a point of view.
Because we’re not in the software adoption game. We’re in the innovation game.
Throughout history, only a small percentage of people have created the future. Most wait until there are case studies, best practices, consultants, and proven playbooks. That’s understandable. It’s also why most organizations become followers instead of leaders.
The problem is that there are no experts of the new. No one has decades of experience implementing AI-native companies. No one has a definitive playbook for organizations that don’t yet exist. We’re all staring at the same blank canvas. Which means something important. Your point of view cannot be downloaded. It cannot be outsourced. It cannot be copied from someone else’s LinkedIn post.
It has to be earned.
And the only way to earn it is through experimentation. Every experiment teaches you something the market doesn’t yet know. Sometimes you discover that an idea doesn’t work. Good. Now you know something that someone reading headlines doesn’t. Sometimes you find unexpected customer behavior. Now you’ve uncovered an insight. Sometimes an experiment succeeds in ways you never predicted. Now you’ve found an opportunity.
None of those lessons come from reading. They come from doing.
This is why experimentation matters. Experiments don’t just produce products. They produce judgment. Over time, dozens or hundreds of experiments compound into something much more valuable than technical knowledge. They become conviction.
When you’ve tested enough ideas yourself, you stop borrowing opinions. You start forming your own. That’s where original thinking comes from. Not from consuming more information, but from interacting with reality.
Technology will continue to change. Today’s models will become tomorrow’s commodities. Frameworks will be replaced. Tools will come and go. But the ability to rapidly design experiments, learn from them, and update your thinking is timeless. That is the real competitive advantage.
Innovation has never belonged to the people with the most information. It belongs to the people willing to test what others are still debating.
So don’t ask yourself whether you’re using the latest AI model. Ask yourself a better question: What experiment am I running this week that will teach me something nobody can teach me?
Because your point of view isn’t something you find. It’s something you build.
Bottom line: There is no innovation without experimentation. And there is no innovation without a distinctive point of view.
