Nobody likes to fail. Yet most people, and most companies, claim they value learning. There’s your problem right there. Real learning comes from trying things with high uncertainty. And high uncertainty means frequent failure. You can’t have one without the other.
You’re not unready for AI. You’re stalling. You’re waiting for more certainty, better case studies, clearer ROI models, but what you’re really waiting for is someone else to take the risk first. And every day you wait, someone in your industry is learning what you’re not.
Here’s how businesses should actually approach AI adoption, based on what separates the 5% who succeed from the 95% who fail:
Executives keep asking me the same question: if we automate away the boring work, will our people lose their creative edge? I understand the concern. A recent Wall Street Journal article captured it perfectly, arguing that delegating mundane tasks to AI eliminates the very boredom that sparks creativity. Fewer dull moments means fewer breakthroughs.
AI is impressive. It’s fast, tireless, and increasingly capable. But we’ve gotten sloppy about what it can’t do, and what humans are quietly abandoning.
Here’s the uncomfortable truth about AI readiness: Most businesses aren’t asking if they’re ready. They’re asking if they can keep avoiding it.
Focus isn’t what you think it is. It’s not concentration. It’s not discipline. It’s not trying harder in a distracted world. Focus is a decision. And most people never make it. They think focus is about summoning willpower or forcing themselves to pay attention. It isn’t.
Most businesses don’t fail to produce great work because of a lack of talent. They fail because mediocrity is easier to sell. The dominant incentives reward speed over substance, sameness over judgment, efficiency over excellence.
