For generations, society has offered a simple bargain: learn, work, earn, save, and rise. The bargain was never equal, and it never worked for everyone. But it gave ordinary people something enormously important: a believable ladder.
Artificial intelligence may be doing something more consequential than taking jobs. It may be removing the rungs of that ladder.
When intelligence becomes cheap
Look at what has happened to intellectual production. Writing, research, translation, coding, analysis and design can increasingly be produced in seconds. An illustration that once required a professional brief, revisions and potentially hundreds of dollars can now be generated almost instantly.
The important change is not simply that AI makes things cheaper. It changes what is scarce. When competent intellectual output becomes abundant, the ability to produce it stops being a strong economic advantage.
Attention becomes the bottleneck
At the same time, human attention has not become more abundant. We can produce more information than ever, but nobody has more hours in the day.
Why read a 2,000-word article when you can ask an AI to summarize it? The old internet rewarded the person who could create information. The emerging internet may reward the system that can decide which information is worth your thirty seconds.
The physical ladder may follow
For a while, one could imagine a simple escape: if machines take cognitive work, humans will still have physical work. But increasingly capable robots are attacking that boundary too.
The combination is what matters. AI can make cognitive labour cheaper while robotics can make routine physical labour cheaper. The question then changes from “Which jobs will AI replace?” to something much harder:
What economic function remains for ordinary humans when both brain and muscle can increasingly be rented as machines?
Society starts at Floor 10
That is why I keep returning to the image of a building with ten floors.
Historically, technology removed some work from the bottom and created new work above it. A person could start with little, learn, gain experience, become skilled, and eventually move upward.
AI may be different. It can attack several floors at once. If routine cognitive work disappears while routine physical work is also automated, society may increasingly expect people to enter the economy near the top: as exceptional creators, entrepreneurs, owners, decision-makers or people with rare human capabilities.
But how does an ordinary person get to Floor 10 if the lower floors were the training ground?
The dangerous part is not unemployment
Unemployment is measurable. Loss of aspiration is harder to see.
Modern societies have tolerated remarkable inequality partly because people continue to dream. A poor person can believe that education may change their child’s future. A junior employee can believe that experience will eventually make them senior. A small entrepreneur can believe that today’s effort may create tomorrow’s independence.
The social contract is therefore not simply “you get a job.” It is “there is a path from where you are to somewhere better.”
If that path becomes visibly implausible, inequality changes character. It is no longer merely unequal outcomes. It becomes a society in which the ladder itself appears to belong to somebody else.
The wage-day paradox
Imagine a darkly comic future: 80 percent of society has no economically necessary job. The remaining 20 percent still receive wages. On wage day, the 80 percent are waiting outside.
“Welcome home,” they say. “We are here for peaceful distribution.”
It is a joke, but it exposes a serious problem. If machines produce most of the wealth, why should access to that wealth continue to depend entirely on having a job?
The problem eventually stops being production. Machines may be able to produce enormous abundance. The problem becomes ownership and distribution.
The freedom paradox
There is another strange inversion.
A person with little money can walk down a public street, sit on a beach and disappear into a crowd. A famous and extremely wealthy person may have almost unlimited purchasing power but need security, controlled travel and privacy measures simply to do ordinary things.
Money buys options. It does not necessarily buy freedom.
Perhaps one of the most valuable things in an unequal society is something money cannot easily purchase: anonymity.
The Joker’s warning
There is a line in The Dark Knight that captures the fear of social breakdown: “When the chips are down, these civilized people, they’ll eat each other.”
The point is not that economic inequality inevitably produces violence. It does not. Societies can redesign institutions, redistribute gains, expand public services and create new forms of meaningful participation.
The warning is about fragility. A social order depends on people believing that the system offers them a future worth protecting.
The knife does not decide
A knife does not decide how it will be used. A technology does not automatically determine the society built around it.
But powerful tools amplify human choices. The real risk is not “evil AI.” It is extraordinary capability combined with concentrated ownership, extreme inequality and institutions that fail to adapt.
The same competitive pressure and pursuit of profit that helped create astonishing technology can also push firms toward ever greater automation. What is rational for one company may become destabilizing when everyone does it at once.
First slowly, then suddenly
Technological disruption may not arrive as one dramatic event. A company may simply hire fewer juniors. A team may shrink through attrition. A department may be consolidated. A workflow may become one person plus an AI system.
Each decision can look reasonable. Taken together, they can transform the structure of employment.
That is why “first slowly, then suddenly” is such a useful warning. The important transition may not be the day millions are fired. It may be the day millions of young people realize that the entry-level jobs from which careers used to begin simply aren’t coming back.
What is left?
If intelligence becomes cheap and physical labour becomes increasingly automatable, perhaps the scarce things will be elsewhere: attention, trust, judgment, agency, genuine relationships, verified experience, ownership and meaningful participation in the real world.
That does not mean humans become useless. It means the definition of useful human activity may have to change.
And there is a profound choice hidden inside this technological revolution.
AI could become the greatest productivity multiplier in human history. If its gains are broadly shared, it could reduce drudgery and create extraordinary abundance.
Or the same technology could make the existing ladder disappear while leaving ownership and distribution largely unchanged.
The question is no longer simply whether AI can do our jobs.
The question is what kind of society we build when human labour is no longer the main source of economic value—and whether we can preserve something even more important than employment: dignity, agency, purpose and freedom.