The essay argues that AI can make knowledge and practical capabilities widely accessible at low cost while creating new forms of privilege through differences in how people use it. Equal access to tools does not guarantee equal outcomes: occasional questions and a fully integrated AI workflow can yield very different productivity gains. Technological dividends are unevenly distributed, often reaching those who understand and apply a technology first. As execution becomes easier, judgment in framing problems, checking answers, organizing tasks, and making decisions becomes more important. AI may raise both the floor and the ceiling of human capability; the decisive divide is between treating it as a chatbot and making it part of one's own abilities.
There is a contradiction at the heart of AI.
It is both one of the most powerful equalizers of our time and a potential source of new privilege.
At first glance, those two ideas seem incompatible.
Equalization narrows gaps. Privilege widens them.
Yet almost every technology that truly transforms society eventually takes on this dual character. AI is simply taking that process further than ever before.
1. First, AI Is a Tremendous Equalizing Force
In the past, many complex tasks came with formidable barriers for an ordinary person.
To write software, you had to learn to code.
To design a product, you had to study design.
To analyze financial statements, you needed to understand accounting and finance.
To write a decent email in English, you needed a solid command of the language.
Market research might require a team to spend days, or even weeks, gathering information.
Starting a business could mean assembling an entire team of programmers, designers, operations staff, analysts, lawyers, and finance professionals.
Today, one person sitting at a computer can use AI to do a substantial portion of that work.
That alone is an enormous equalizing force.
More significantly, this capability is not being sold at an astronomical price.
You do not need immense wealth, the right family background, or special connections.
For a few dozen dollars a month—or even for free—you can use tools for working with knowledge that even large corporations might not have had in the past.
Seen this way, AI may be the most powerful means of making capabilities widely available since the internet.
In the past, what a person could do depended heavily on their education, professional training, language skills, the city they lived in, and the people they could reach.
Those boundaries are now rapidly becoming less formidable.
Someone in a small city can access knowledge resources once available only to those close to leading universities.
Someone who cannot code can begin building their own software.
An entrepreneur without a team can have several “virtual employees” at once.
Someone with limited English can communicate fluently across languages in an instant.
For the first time, knowledge is being distilled, organized, and made available to ordinary people on such a scale and at such a low cost.
This is AI at its most egalitarian.
2. But AI Is Also a New Kind of Privilege
The problem is this:
Access to the same tools does not mean access to the same results.
Quite the opposite.
Once a tool becomes powerful enough, what really determines the gap is who knows how to use it better.
Suppose one person used to be only twice as productive as another.
One of them knows how to use AI. The other does not.
The first begins using AI to find sources, organize information, code, analyze data, write documents, prepare for decisions, and automate repetitive work.
Their productivity might increase not by 20%, but by 200% or 500%—or even reach ten times its previous level on certain tasks.
The other person’s way of working stays the same.
So even as AI lowers the barriers for everyone, it also magnifies differences in productivity.
There is something fascinating about that.
Privilege, in its traditional sense, often comes from the scarcity of resources themselves.
Only a few people can afford an expensive education. Only a few companies can pay for large computing systems. Only a few individuals can hire a large team of specialists.
“Privilege” in the AI era does not work quite the same way.
The tool may be sitting in front of everyone.
But the real privilege becomes:
Knowing how to use it.
3. Technology Never Benefits Everyone Automatically
In fact, this is not unique to AI.
Almost every technological revolution follows a similar pattern.
Once the internet arrived, everyone could, in theory, access information.
But it did not make everyone equally knowledgeable.
Some people use it to learn programming, study business, build companies, and invest in global markets.
Others spend hours every day scrolling through short videos.
The same is true of search engines.
Google is open to everyone, yet the quality of information people find differs enormously depending on how well they know how to search.
Smartphones tell the same story.
With the same phone, one person runs a company, learns, invests, and creates; another uses it only for entertainment.
The tools themselves are equal.
The results they produce never are.
AI simply amplifies this phenomenon.
Because AI differs from the tools that came before it.
Earlier software mostly improved one particular capability.
Excel made calculations more efficient.
Photoshop made design work more efficient.
Search engines made information retrieval more efficient.
AI, by contrast, is becoming involved in almost every part of knowledge work at once.
Reading, writing, coding, research, analysis, planning, communication, creation, learning…
Knowing how to use AI may therefore become more than just another software skill. It may become a multiplier for a person’s underlying productivity.
4. The Real Divide Is Not Whether You Have AI
This is why I think discussions of the social divides AI may create can easily fall into a trap.
People will assume:
Those with AI have an advantage; those without it are at a disadvantage.
But reality may turn out differently.
The cost of using AI is falling rapidly, and eventually the vast majority of people will be able to access it.
The real divide will become:
Whether you know how to use it.
And, beyond that:
Whether you can truly integrate AI into your life and work.
Asking AI a few questions now and then is a completely different thing from making it part of the system through which you work.
One person might use AI simply to polish an email.
Another uses it to organize a knowledge base, research industries, analyze data, manage projects, write code, call tools, monitor information, and even coordinate multiple agents to complete tasks.
Both are nominally “using AI.”
Yet the productivity they gain is on an entirely different scale.
What matters in the future, then, may not be having AI, but developing a new kind of capability:
Breaking a problem down, delegating tasks to AI, bringing its outputs back together, and then applying your own judgment to make the final decision.
That is what it really means to be capable with AI.
5. AI Will Not Share Its Dividends Equally
When people discuss technological progress, they often assume:
Technology advances, so everyone benefits.
Over the long run, there may be some truth to that.
But in the real world, the dividends of technology are never distributed evenly.
When a technology emerges, the first to benefit are usually those who understand it fastest.
Next come those who commercialize it fastest.
Then entire industries begin to adopt it.
Only later might lower prices, greater efficiency, and changes in social infrastructure allow more ordinary people to benefit indirectly.
AI is no different.
Someone who refuses to use AI altogether may, of course, still enjoy some of its wider benefits.
Healthcare might become more efficient, goods cheaper, logistics faster, and software easier to use.
But when it comes to individual competition, that person may miss out on the gains available through using AI themselves.
Others are using it to learn faster, work faster, try more things, and reduce the cost of mistakes.
The gap between two people may ultimately widen without either person becoming less intelligent.
It may simply be that one of them has acquired a powerful way to amplify their capabilities.
Imagine two people who are both walking.
Suddenly, one of them gets a car.
The person still walking has not gone backward.
Yet the distance between them will keep growing.
6. Judgment, Not Knowledge, May Become the Scarcest Resource
AI has another, even deeper implication.
In the past, much of education was devoted to getting people to remember knowledge.
Because knowledge itself was difficult to obtain.
But when AI can draw on vast amounts of human knowledge at any time, simply “knowing a lot” may become less valuable.
What matters more then is a different set of abilities:
Can you ask the right questions?
Can you judge whether an AI’s answer makes sense?
Can you identify problems genuinely worth solving?
Can you form your own judgments amid a flood of information?
Can you decide whether something is worth doing at all?
AI can rapidly bring an ordinary person’s ability to execute closer to that of a professional.
But it does not automatically give everyone the same goals, taste, judgment, or values.
What becomes truly scarce, then, may not be knowledge itself, but the ability to judge how it should be used.
In other words:
AI lowers the barriers to execution while making judgment more important.
7. Equalization and Privilege Can Coexist
So I do not think we have to choose between “AI will make the world more equal” and “AI will make the world more unequal.”
Both can happen at once.
AI will substantially raise the floor of what people can do.
Things that were once beyond reach will become possible for many.
That is equalization.
But AI will also dramatically raise the ceiling.
Those who truly know how to use it will be able to learn, create, and execute at unprecedented speed.
That is privilege.
And it may be a very unusual kind of privilege.
Unlike wealth, lineage, or social connections in the past, it is not held entirely in the hands of a small minority.
It is right there.
In theory, anyone can reach for it.
But only some people are willing to truly learn how to use it.
Perhaps this is what makes the AI era both so unforgiving and so fair:
Access to tools is widening, yet differences in how people use them may pull their results further apart.
One of the greatest divides between people in the future may not be who has AI.
Because eventually everyone will have it.
The real divide will be:
Who treats AI as a chatbot, and who makes it part of what they are capable of.
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