Every new technology comes with a fear.

The steam engine would destroy work. The computer would eliminate office jobs. The internet would make entire professions disappear.

Now it is AI’s turn.

The dominant narrative is that AI is coming for our jobs. Software engineering is often presented as one of the first categories in line. If AI can write code, debug faster, and generate applications in seconds, then the need for software engineers must collapse.

And yet, the companies building the most advanced AI systems in the world are still hiring software engineers aggressively:

  • OpenAI’s careers search shows a large number of software-engineering roles.
  • Anthropic is also hiring heavily, including roles listed at striking compensation levels.

So, what is the story?

If the companies closest to the frontier believed software engineering was about to become irrelevant, why are they paying these extraordinary salaries? Why are they scaling engineering teams if they are supposed to remove the need for engineers in the first place?

To me this paradox points to a much bigger truth:

AI is not here for human replacement. It is here for human amplification.

What if the real impact of AI is not that fewer people are needed, but that each capable person can suddenly create much more?

This is where the conversation becomes more interesting and more hopeful:

Many more ideas become viable. More experiments become affordable. More products become buildable. More services become accessible. More problems become worth solving.

Market Signals

U.S. and Europe’s new business applications remain historically high. The U.S. Census Bureau’s latest business formation release projects 28,994 new startups from business applications filed in February 2026.

Why does that matter?

Because more company formation usually means more building. More software. More go-to-market activity. More workflows. More operations. More specialized tools. More customer experiences. More legal work. More sales motions. More knowledge systems.

More complexity to manage.

In other words: more demand for people who can turn possibility into execution.

AI amplifies that possibility.

Why Top-Tier AI Companies Still Pay Huge Salaries for Engineers

Because AI can generate code. But shipping quality software is not just about generating code.

It is about architecture, trade-offs, security, reliability, product judgment, scalability, user trust, data flows, maintenance, compliance, feedback loops, and integration across messy real-world systems.

It is about knowing what should be built, not only what can be built.

A strong engineer with advanced AI tools is not simply a cheaper engineer. They are a 10x more powerful builder. They can move faster, explore more options, prototype more boldly, test more ideas, and solve harder problems in less time.

That makes the best engineers much more valuable, not less.

And the same logic extends way beyond engineering.

AI Is a Multiplier for Every Knowledge Profession

This is where the debate has been too narrow and too simple. Too much discussion focuses on whether AI can perform isolated tasks inside a profession. But that is the wrong frame.

The real question is:

What happens when an entire profession becomes dramatically more productive?

If marketers become 10x more effective at research, segmentation, content adaptation, testing, and campaign optimization, then products and solutions can reach the people who need them faster.

If sales teams become 10x more effective at identifying fit, personalizing outreach, handling objections, and moving deals forward, then more companies can grow with less friction, competition can increase, prices can come down, and delivered value can go up.

If lawyers become 10x faster at document review, case preparation, precedent analysis, and routine drafting, justice does not have to remain so slow, expensive, and inaccessible.

If scientists and clinicians become 10x faster at analyzing data, reviewing evidence, generating hypotheses, and coordinating knowledge, the pace of medical progress accelerates by 10x.

If inventors, product teams, and researchers can move from idea to prototype to iteration in a fraction of the time, the rate of useful invention rises sharply.

That is the real deal.

Not a world where humans become redundant, but a world where human capability compounds.

Focusing only on displacement misses the much larger view.

When productivity rises, societies do not only cut labor. They expand ambition.

When farmers became more productive, humanity did not stop creating work. It moved into manufacturing, services, science, education, healthcare, media, logistics, and technology.

When computers made office work faster, businesses did not decide they had enough output forever. They created new categories of analysis, new forms of coordination, new products, and new industries.

When the internet reduced the cost of distribution, we did not end up with less content, less commerce, less communication, or less entrepreneurship. We got an explosion of all four.

AI is likely to follow the same pattern, though at even greater speed.

Lower the cost of high-value cognitive work, and the likely result is not only substitution.

It is expansion.

The Real Paradox Is Not That AI Companies Still Hire Engineers

The real paradox is that society keeps interpreting this moment through a lens of loss when the stronger signal is one of amplification.

Yes, work will change.

Yes, some categories will be reshaped dramatically.

Yes, some people and companies will struggle if they refuse to adapt.

But the frontier companies are telling us something with their hiring behavior.

They are telling us that in the age of AI, high-capability people do not become irrelevant.

They become 10x more valuable.

And if AI truly makes each of us more capable, then the ultimate question is not whether jobs disappear.

It is whether we use that expanded capability to create a better world.

A world where solutions reach people faster.
Where justice moves faster.
Where science moves faster.
Where invention moves faster.
Where resources are used more intelligently.
Where progress is accelerated.

That is the future hidden behind the fear.

Not a civilization replaced.

A civilization amplified.

And that is a much more important story to tell.