The most repeated sentence about AI in the last two years is that it levels the playing field. Anybody can start from zero. The small business now competes with the large one. The graduate with a laptop now competes with the agency.
I have come to believe this is wrong, and that it is wrong in a way that hurts the people it is meant to encourage.
" AI is not an equaliser. It is a leverage multiplier. A lever is useless on its own. It needs something to lift.
What actually happened
When these tools became widely available, two people picked them up on the same day.
The first had twenty years in logistics. Within a month he was using AI to draft contracts he already understood, model routes he had already walked, and write proposals in language he had spent two decades learning to speak. His output roughly doubled. His judgement stayed his own.
The second had no field. He generated a great deal of material, all of it competent, none of it distinguishable from what anybody else could generate that afternoon. His output also roughly doubled. Twice nothing is still nothing.
Same tool. Same month. Completely different result. The tool did not level anything. It multiplied what each man walked in with.
The three dispositions
Whenever something genuinely new arrives, the room divides into three, and it divides the same way every single time.
The early ones. They move before it is comfortable. They accept that they will look foolish for a while. Some of them waste effort on things that do not last, and they accept that as the cost.
The careful ones on the sideline. They are watching. They are not against it. They are waiting for it to settle, for the noise to die down, for somebody they trust to say it is real. This is the largest group, and it is the group most people reading this belong to.
The late ones. They arrive after the advantage has already been distributed. They are not lazy. They simply did not believe it applied to them.
I want to be fair to the second group, because I think the careful disposition is often wisdom rather than fear. Plenty of technologies deserved to be waited out. But there is a difference between waiting for something to prove itself and waiting until the question has already been settled without you.
What fifteen years should tell you
Fifteen years ago, a person sitting in Bodija, here in Ibadan, could not work for a company in London. There was no path. You needed a visa, an embassy appointment, a relocation, a network you did not have.
Today that same person can be hired, paid and promoted without ever leaving the street they grew up on. We have normalised this so thoroughly that we have stopped noticing how extraordinary it is.
I think we are in another one of those moments, and I think we will look back at this period the same way. Not because AI is magic. Because the distance between having knowledge and being able to package and sell that knowledge has collapsed, and most people have not adjusted to the collapse.
What this means if you have experience
Experience is peculiar and personal. Principles are universal. That distinction matters enormously.
Nobody else has run your business, made your mistakes, sat in your meetings, or watched your particular decisions fail in your particular market. AI has no access to any of it. It has read everything ever published and it still does not know what you learned in 2019 when that project collapsed.
That is not a small gap. That is the entire gap. And it is the reason the person with twenty years is going to pull further ahead, not fall behind.
" What you learned the hard way is the one thing that cannot be generated. Everything else can.
One thing this week
Do not try to learn AI. That is too vague to act on and it is why most people stall.
Instead, take one task you already do well and do it with the tool beside you. One task. The thing you are already good at. Watch what it adds and watch where it is wrong, because it will be wrong, and the fact that you can tell is precisely the value you bring.
You are not learning a tool. You are finding out what your own experience is worth when it is multiplied.