After the Wave: What happens when AI becomes as unremarkable as electricity?

There is a moment in every technological revolution where the novelty dies. Not the technology. Just the novelty. The surprise. The story.

We are approaching that moment with AI.

The value going forward will not be in using AI. Everyone is using AI. The value will be in what you do that AI cannot fake.

I want to be precise here. I am not saying AI stops being powerful. I am saying that power stops being the point. Electricity is powerful. Nobody builds a company on the premise that they use electricity.

The wave has already broken. The question is: what does the beach look like now?

The Inflection We Are Not Talking About

Every day someone publishes an article about what AI can now do. Generate code. Write reports. Analyze thousands of documents in seconds. Speak thirty languages.

These things are true. They are also becoming irrelevant as differentiators, for exactly the same reason that running water stopped being a luxury.

The shift I am watching is subtler. It is not the moment AI becomes capable. It is the moment everyone stops being surprised that it is.

That moment is coming faster than most founders are prepared for. And when it lands, the entire game changes.

What Stops Working

Right now you can still build attention on the premise that AI does something remarkable. You can still impress a board by showing them a dashboard that processes a hundred data sources in real time. You can still win a pitch by demonstrating that your platform does in two seconds what used to take three analysts two weeks.

Enjoy that window. It is closing.

In the post-novelty world, those demonstrations land flat. Not because they are not true. They will be more true than ever. But because the person across the table has already accepted it. They do not need to be shown that AI is fast. They know. They do not need proof of concept. They need a reason to care.

Speed and efficiency will be the floor, not the ceiling. The question will be: what did you do with all that speed?

What Starts Working

Here is where it gets interesting.

When AI becomes a given, when every competitor has it, every platform runs on it, every product claims it, the differentiation shifts somewhere that AI genuinely cannot go.

Originality. Authentic judgment. The willingness to be wrong in a human way.

This sounds abstract so let me make it concrete.

AI optimises toward a center. It learns from what has been done and produces something consistent with that. It is extraordinarily good at this. But it is constitutionally incapable of the thing that happens when a person looks at a problem and sees something that should not work, and does it anyway because their gut says so.

That gap, between optimised and original, is where the next decade of real value lives.

On Mistakes

This is the part people will resist: mistakes will become valuable.

Not all mistakes. AI makes mistakes constantly. Model errors, hallucinations, confident wrongness. Those are not what I mean.

I mean the other kind. The mistake that reveals something real. The decision that looked wrong by every metric and turned out right for reasons you could not have computed. The product that should not have worked but carried something in it that no optimization process would have included, because it came from a person who had lived something, believed something, risked something.

When everything is AI-generated, human error becomes a signal. A proof of life. Evidence that a real mind was involved, with real stakes.

People will start paying for that.

In a world where everything is optimised, a scar is more interesting than a perfect surface.

The Frontier

The founders who survive the post-novelty shift will not be the ones with the best AI stack. They will be the ones who had something real to say before AI gave them the tools to say it.

That is the actual test. Strip away the speed, the automation, the efficiency gains. What is left? Is there a point of view? Is there a specific understanding of a specific problem that could only come from being inside it?

If yes, AI makes you dangerous.

If no, AI makes you replaceable. Faster, cheaper, at scale, but replaceable.

The frontier is not a technology. It is a question. What do you know that cannot be learned from data?

What This Means If You Are Building Now

Stop leading with AI as your value proposition. Start treating it as infrastructure, the way you treat cloud hosting. Essential, assumed, invisible.

Invest instead in the thing that AI cannot replicate: your specific point of view. The insight that comes from your particular experience. The decision-making that reflects real judgment under real conditions.

Build products that have a perspective, not just a capability.

Stay close to your mistakes. The ones that were genuinely yours. Because in the next era, authenticity is not a brand value. It is a competitive advantage.

The Only Question That Remains

We spent years asking what AI could do. That question has been answered, thoroughly, expensively, and beyond anyone's wildest expectations.

There is only one question left, and it is far more uncomfortable.

What can you do?

Not with AI. Not because of AI. Not faster or cheaper or at ten times the scale with half the headcount.

What can you do. The irreducible you. The part that is not a prompt, not a process, not a workflow that can be handed to a model and returned as output. The part that has sat with a problem long enough to understand something about it that data alone could never surface. The part that has been wrong before, publicly, consequentially, and came back anyway.

That is what the market is about to start pricing.

Not your access to tools. Everyone has the tools now. Not your ability to move fast. Fast is table stakes. Not even your vision, because vision without the specific lived texture of what it cost you to hold it is just a slide deck.

The market is about to start pricing you.

And the most dangerous thing you can do right now is spend all your time making yourself sound more like a machine.