Encouraging people to “just try AI” sounds empowering. It signals openness, curiosity, and speed. But in practice, this advice often creates confusion, anxiety, and uneven results. What feels like freedom to leaders frequently feels like exposure to everyone else. ------------- Context ------------- When AI enters an organization, the most common starting message is simple: experiment. Explore. Play. The intent is positive. Leaders want to avoid rigidity and spark discovery. They want momentum without bureaucracy. What follows, however, is rarely true experimentation. People try different tools in isolation. They duplicate effort. They encounter inconsistent results. Some get quick wins, others get burned. Most quietly disengage. The problem is not experimentation itself. The problem is unstructured experimentation in environments where outcomes still matter. When expectations are unclear and norms are undefined, “just try it” becomes a liability, not an invitation. AI adoption fails less often from resistance and more often from overload. ------------- Experimentation Without Structure Increases Cognitive Load ------------- Trying something new requires mental energy. When people are told to “just try AI,” they are implicitly asked to choose tools, invent use cases, judge output quality, manage risk, and decide what is acceptable to share. That is a lot to ask on top of existing workloads. Instead of curiosity, people feel pressure. Instead of play, they feel evaluation. They wonder if they are choosing the right tool, using it correctly, or wasting time. Every decision carries uncertainty. Cognitive load accumulates quietly. When it gets too high, people retreat to familiar workflows. Not because they dislike AI, but because they cannot afford the extra thinking. This is why adoption often clusters around a few enthusiasts. They absorb the load. Everyone else watches. ------------- Tool Sprawl Is the Enemy of Learning ------------- Unstructured experimentation almost always leads to tool sprawl.

Most entrepreneurs aren’t stuck because they’re lazy or incapable. They’re stuck because they’re waiting. Quietly. Waiting for more clarity, better timing, more confidence, or for things to settle down. As long as you’re waiting, your potential and your business stays parked. Progress in business doesn’t come from more preparation. It comes from decisions. Every time you explain why you’re not moving yet, you hand control to something outside yourself: the market, the economy, your schedule, your past results. None of those are coming to build the business for you. The people who actually break through don’t feel ready. They move while uncertain. They don’t wait for perfect conditions... they adapt to the conditions they’re in. They don’t wait for permission, because no one is handing it out. Most people keep their effort conditional. “I’ll go all in when things calm down.” “I’ll commit once I feel more confident.” “I’ll start after this next thing.” And months (sometimes years) pass. Not because the idea wasn’t good, but because the conditions were never removed. So here’s something actionable for the week ahead: Pick one decision you’ve been delaying because you wanted more clarity. Make it by the end of the week...imperfectly. Then take the first uncomfortable action that follows from that decision. No optimizing. No overthinking. Just movement. Clarity shows up after action, not before it. Drop in the comments: What’s the one decision you’re done waiting on this week?

In this video, I break down the week's happenings in AI including Clawdbot (Moltbot), a ton of new upgrades to the Claude ecosystem, new techniques and workflows people are using to create short films with AI, and more. Enjoy!