The Revolution That Never Happened

Now let us move further away. Not five years — perhaps thirty.

Imagine someone in the middle of the century opening an archive of publications from 2026 for some reason. Every other page seems to be discussing a civilisational turning point, the end of professions, the beginning of a new economy and, generally speaking, the last chance to urgently adopt something intelligent.

I wonder what would strike them as stranger: our anxiety, or our confidence that we had happened to be alive during the greatest technological revolution of all?

Every age has the privilege of believing it is the final one

An event inside our own lifetime always looks larger than a long historical process. We notice the jolt under our feet far more readily than the movement of continents.

AI really is unusual. It has reached language, analysis, programming, drawing and planning — capabilities people spent a very long time treating almost as evidence of our special place in the world.

But the history of technology is, among other things, a history of moving human capabilities outside the human body and mind.

Writing allowed memory to outlive a person. Printing made the copying of knowledge a mass activity. Mechanisation removed an enormous share of physical effort from the body. Electricity turned energy into accessible infrastructure. The shipping container reshaped world trade, even though containerisation now attracts surprisingly few philosophical conferences.

AI continues that line. We still have to discover how large a step it is.

The machine has not come only for our jobs. It has entered territory through which humans are used to explaining themselves.

What unsettles us is not only power, but resemblance

An excavator can dig better than I can, and this has never caused me much of an identity crisis. A pocket calculator multiplies faster, yet no mass movement arose to defend human multiplication.

AI feels different. It does things we habitually use to describe ourselves: it writes, reasons, jokes, draws and explains.

So its psychological scale may be larger than its technological scale. The machine has not merely entered the workplace; it has entered the territory of identity.

When a mechanical machine tool made the movement of a hand more precise, the human being could still take pride in the head. Now the head has acquired a competitor too, and the conversation immediately becomes philosophical.

We usually understand the importance of a technology after we stop noticing it

Historical importance is poorly measured by the number of headlines at launch. Some technologies matured for decades before they completely changed everyday life.

Electrification did not end on a ceremonial day when humanity formally acknowledged its victory. It simply spread through factories, cities and homes so deeply that a light switch stopped being a symbol of progress.

Antibiotics changed the odds of surviving a common infection more profoundly than many inventions that looked more spectacular when they appeared. Standardised shipping containers rewrote global logistics, although children rarely grow up dreaming of becoming container visionaries.

AI may be similar. Its historical significance may eventually be measured not by today’s demonstrations, but by the social habits that feel utterly ordinary several decades from now.

There may never have been a separate “AI age” at all

Historians like cutting continuous processes into useful periods. People living through them enjoy doing the same thing in advance.

But computing, networks, data, interfaces, automation and machine learning have been developing for decades. Generative AI may turn out not to have started something from zero, but to have been the moment when several long-running lines finally became visible to ordinary people at the same time.

Like water that has been heating for a long while, with all the drama somehow attributed to the final degree.

Thirty years from now, our present “revolution” may look simply like an especially bright stretch of the transition from computers as tools to computers as independent performers of intellectual operations.

That would not make the transition small. It would simply remove the magic of a single, unique event.

The best ending for a revolution is to disappear from the vocabulary

If AI really becomes fundamental infrastructure, the phrase “using AI” will begin to disappear.

A system diagnoses equipment. Software writes code. Transport plans a route. A learning environment chooses an explanation. Nobody asks which particular part was “artificial intelligence”, because the boundary no longer has much practical meaning.

That may be the central historical paradox: the more important the current revolution turns out to be, the less revolutionary it will look to our children.

First a technology receives a name, conferences and manifestos. Then standards and regulation. Then its functions dissolve into everyday life.

And perhaps fifty years from now, a school pupil will read about the AI era and ask: “Wait. Before that, software did not understand what people wanted it to do?”

At that point we will be able to say the revolution really is over. So successfully that it no longer exists as a separate phenomenon.

The more deeply a technology changes the environment, the less future generations notice it as a separate technology.