[ABAD]

In the Age of AI, the Most Valuable People Will Be the Ones With Better Judgment

When a new technology arrives, we usually ask the wrong question first.

We ask what it can do.

Can it write? Can it code? Can it replace jobs? Can it make companies more efficient? Can it help us work faster?

Those questions matter. But after reading Mustafa Suleyman’s The Coming Wave, I came away with a different one.

If AI changes how value is created, who becomes more valuable because of it?

That question feels more important because AI is not just another productivity tool. It is not simply a better search engine or a faster assistant. It is a general-purpose technology that could reshape labor, power, control, and the structure of economic life itself.

And if that is true, then the biggest opportunity in the age of AI may not belong to the people who can do the most work.

It may belong to the people who can see most clearly.

In other words, as AI becomes more capable, judgment may become one of the most valuable human skills.

AI does not just automate tasks. It changes how value moves

One of the most powerful ideas in The Coming Wave is that major technologies do not simply make life more convenient. They reorganize society.

They change who gains leverage.
 They change who holds power.
 They change how wealth is created and where it accumulates.

This is why AI should not be seen only as a technical story. It is also an economic story.

Yes, AI can increase productivity. It can help people write faster, analyze faster, build faster, and automate more of the repetitive parts of work. But higher productivity does not automatically mean broader security.

That depends on who captures the gains.

If the gains from AI flow mainly to the companies, platforms, and institutions that own the models, infrastructure, and distribution, then many workers may face a strange future. They may live in a more productive society while feeling less economically secure inside it.

That is the tension at the center of this moment.

On the surface, AI looks like progress.
 Underneath, it may be rewriting how income is earned.

We may be entering an era where position matters more than profession

For a long time, economic identity was tied closely to profession.

What do you do?
 That question often explained both your social role and your source of income.

But AI complicates that model.

As more knowledge work becomes cheaper, faster, and easier to automate, a job title by itself may become a weaker source of security. The more important question becomes this:

Where are you positioned inside the system where value is being created?

That is a much more revealing question.

Two people can work in the same field and face very different futures. One becomes replaceable because much of their work is structured and repeatable. The other becomes more powerful because they know how to use AI to expand their output, sharpen their decisions, or build new systems.

The difference is not always intelligence.
 Often, it is judgment.

It is the ability to understand where the value is moving, what is becoming cheaper, and what is becoming more valuable.

AI may disrupt the mind before it disrupts the hand

For years, many people assumed that the safest jobs were the ones built on cognitive skill.

Study hard. Build expertise. Move into knowledge work. Stay ahead through education.

But this is where the AI moment becomes especially unsettling.

AI is not entering the economy only through physical automation. It is entering through writing, research, coding, planning, sorting, summarizing, supporting, and analysis. These are not side tasks. They are central to modern professional life.

That does not mean humans are becoming obsolete. But it does mean that some forms of average cognitive output may become far less scarce.

And when average output becomes cheaper, a new question appears:

What remains valuable when intelligence is abundant?

I do not think the answer is simply more information or more speed.

The answer is discernment.

The ability to decide what matters.
 The ability to recognize what is noise.
 The ability to choose well when there are too many options.

AI can generate a thousand possibilities.
 Someone still has to know which one is worth pursuing.

Judgment is not about knowing more. It is about seeing better

This is where many people get confused.

They assume the future belongs to the people with the most information. But in an AI-rich world, information alone becomes less impressive. Tools can generate it instantly. Systems can summarize it endlessly. Content can multiply faster than anyone can meaningfully absorb it.

So the scarce skill is no longer access.

It is interpretation.

Judgment is not magical. It is not some elite trait reserved for a few gifted people. In practical terms, judgment is often the ability to notice meaningful differences early.

It is the ability to ask better questions than everyone else.

When a new AI tool appears, most people react in one of two ways. They either become excited by the novelty or anxious about the disruption.

But a smaller group asks deeper questions.

Who becomes stronger if this scales?
 Who becomes weaker?
 What part of the value chain becomes commoditized?
 What part becomes more defensible?
 What kind of work becomes easier to replace, and what kind becomes more important?

That is what judgment looks like.

It is not about collecting more facts. It is about understanding the consequences of those facts faster and more clearly than others do.

The long-term winners will not just use AI. They will know where to apply it

Right now, a lot of attention is focused on using AI tools more effectively.

That makes sense. Learning how to use these tools well can save time and improve productivity almost immediately.

But tool fluency is not the deepest advantage.

Because tools spread.
 Workflows get copied.
 What feels rare today often becomes standard tomorrow.

The bigger advantage lies in knowing what to amplify with AI.

Some people will use it to write faster.
 Some will use it to automate routine work.
 Some will use it to reduce costs.

All of that matters.

But the more valuable move may be using AI to improve decision-making, test business ideas, discover market gaps, build systems, or identify where value is shifting before the crowd sees it clearly.

That is the difference between using AI as a convenience and using AI as leverage.

And leverage begins with judgment.

This may be the deeper economic shift hiding inside the AI conversation

What makes The Coming Wave so compelling is that it does not frame AI as just another software trend. It treats AI as a force that could reshape institutions, power, labor, and the distribution of opportunity.

That framing leads to a more uncomfortable but more useful realization.

Many people are still preparing for the future with an old economic mindset.

Study.
 Get hired.
 Work hard.
 Move up.
 Earn more.

That path may still matter. But it may no longer be enough as a full explanation of how stable lives are built.

If AI allows firms and systems to scale productivity much faster than workers can scale bargaining power, then labor alone may become a weaker foundation for economic security. In that kind of world, understanding work is important, but understanding leverage becomes just as important.

That means people may need to think not only like workers, but also like owners, builders, allocators, and system designers.

This is not just a story about technology.

It is a story about how the map of earning may be changing.

So who becomes more valuable in the age of AI?

Not simply the people who know the most.
 Not simply the people who work the hardest.
 Not even simply the people who adopt the newest tools first.

The people who become more valuable may be the ones who can do a few things especially well.

They can tell the difference between hype and structural change.
 They can understand a domain deeply while also seeing beyond it.
 They can use technology without being dazzled by it.
 They can think about labor, capital, systems, and human behavior at the same time.
 They can make better decisions when the rules are changing.

Most of all, they can see what matters early.

That is judgment.

And as AI makes average intelligence cheaper, judgment may become more valuable not because humans are suddenly becoming wiser, but because discernment becomes rarer when answers are everywhere.

Final thought

The most important lesson I took from The Coming Wave was not simply that AI is powerful.

It was that powerful technologies do not just change what we can do. They change what society rewards.

That is why the central question of the AI era may not be, “How do I keep up with the machines?”

It may be, “How do I become more valuable in a world where intelligence is increasingly abundant?”

My answer is this:

Become someone with better judgment.

Become someone who can see shifts early.
 Become someone who understands not just what AI can do, but what it changes.
 Become someone who can connect technology, labor, money, and power into one clear picture.

Because in the age of AI, the people who rise may not be the ones trying to outwork the machine.

They may be the ones who can see where the machine is taking the world before everyone else does.

And that kind of clarity will be hard to replace.