Better decisions create better outcomes — but speed alone doesn’t make them better. The future of decision-making lies in systems that combine dynamic context, structured frameworks, and real collaboration. AI already has the intelligence; what’s missing is the structure to make it truly useful for the work that matters most.
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AI has made expertise cheap. Anyone can now draft code, analyze numbers, or write a contract with a few prompts. Skills that once took years to learn are suddenly accessible to everyone.
But skills are not the same as experience. Judgment comes from seeing patterns, from navigating context, from knowing which choice matters and which one doesn’t. Wisdom grows out of mistakes and successes over time. AI doesn’t give you that.
That’s why the role of the expert isn’t disappearing. It’s evolving. The expert in the AI era is the person who can connect messy, real-world context with the machine. They set up the problem so AI can be useful, and they interpret the output back into the complexity of a team, a market, or a negotiation.
Without that mediation, AI gives average answers to average questions — the same answers everyone else can get.
So yes, AI raises the floor. The unskilled can become amateurs overnight. But what still makes the difference is experience — the judgment to know which problems matter, which choices elevate, and how to turn insights into decisive action.
Scott Wiener, CEO and Founder at Hubs
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AI Can Make Us Competent, But Experience Is What Makes Us Great
AI can make us faster and more capable, but not wiser. True expertise comes from experience — from judgment, context, and time. In the AI era, greatness belongs to those who can connect machine intelligence with real-world nuance.
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