A question I hear more often now is, “If Artificial Intelligence (AI) can access almost all the world’s knowledge in seconds, will experience still matter?” It is a fair question.
Today’s AI models have read millions of books, research papers, articles, manuals, and websites. They can explain complex ideas, analyse reports, draft strategies, and answer questions faster than any person ever could. Looking at that, it is easy to assume that experience is becoming less valuable. I think the opposite is true.
The reason is simple. Experience is not information. Experience is judgement. There is a world of difference between knowing that something has worked before and knowing whether it will work this time.
Real work is rarely as neat as a textbook or a case study. Every organisation has different people, different cultures, different customers, different constraints, and different histories. Two companies may face exactly the same problem but require completely different solutions because the context is different. AI can provide knowledge, but it cannot live your context.
Think about learning to drive. You could spend weeks reading the road code, watching instructional videos, and memorising every traffic sign. By the time you sit behind the wheel, you might know everything there is to know about driving.
But the first time someone suddenly brakes in front of you during heavy rain, knowledge alone is not what keeps you safe. Experience teaches you how to stay calm, judge the situation, and react instinctively. There are some things that can only be learnt by living through them.
The workplace is no different. An experienced manager often senses that a project is drifting long before the reports begin showing warning signs. A salesperson recognises when a customer has stopped buying emotionally and started negotiating logically.
A doctor notices the symptom that does not quite fit the diagnosis. A teacher sees the student who understands the lesson but lacks the confidence to raise a hand. These are not facts someone memorised. They are patterns recognised through years of observation, reflection, and practice.
Perhaps that is what real intelligence has always been. We often associate intelligence with having the right answer or remembering the most information. But real intelligence is also knowing which information matters, which advice to ignore, which risk is worth taking, and when something simply does not feel right despite what the data suggests.
It is the ability to combine facts with judgement, logic with intuition, and knowledge with lived experience. AI is exceptionally good at providing answers. Human intelligence lies in deciding what to do with them.
Experience is also what teaches us what not to do. Every mistake leaves behind a lesson. Every failed project, difficult conversation, missed opportunity, and unexpected success quietly shapes the decisions we make next.
That is why two people can spend 10 years in the same role and leave with completely different levels of wisdom. One may have learnt continuously from every challenge, while the other simply repeated the same year 10 times. Time alone does not create experience. Reflection does.
I often think of experience like walking through a forest. Someone can hand you a detailed map showing every path, every stream, and every hill. The map is incredibly useful, but it cannot tell you which trail becomes muddy after rain, where the loose rocks are hidden, or where the birds gather just before sunrise. Those things are only discovered by walking the path yourself.
AI can hand us remarkable maps, but experience teaches us how to navigate the terrain.
Ironically, I believe AI makes experience even more valuable. As knowledge becomes abundant, judgement becomes scarce. When everyone has access to the same information, the people who stand out will not necessarily be those who know the most. They will be the ones who know how to interpret that knowledge, challenge it, apply it wisely, and recognise when the obvious answer is not the right one.
The future of work will not reward people simply because they have spent the longest time in a role. It will reward people who keep turning experiences into better judgement, who remain curious, who reflect on their mistakes, who adapt their thinking, and who continue learning long after they become experts.
Because experience has never really been about knowing more. It has always been about knowing what matters.
Keep learning and growing.
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