Why We Don’t Recognize Big Changes Until They Reach Us
We’ve seen the pattern before—just not always in time
Large changes rarely feel important while they are happening.
Not because we don’t see them, but because, at least at first, they tend to happen to someone else.
A farmer loses his land. A small operator sells off equipment that no longer makes sense. A business across town closes. A new way of doing things appears, and it works—but not in a way that seems immediately relevant.
All of these are real changes.
They’re just not our changes. However, the question is are we not experiencing a big change in progress?
As long as changes from AI stay in controlled spaces and remain that way, it’s easy to assume that whatever is happening is limited, temporary, or not especially important.
We’ve Been Here Before
I’ve seen this pattern play out more than once.
Early in my career as a structural engineer, most of our calculations were done with slide rules. It worked well, and for a long time there wasn’t much reason to think it would change. Then computers began to enter the process—slowly at first, then more rapidly. Computer-aided design demonstrated that these systems were more accurate and could produce solutions faster. Before long, the tools we had relied on for years were no longer central, and new, evolving processes took their place.
At the time, it didn’t feel like a revolution. It felt like a series of improvements.
In history, a similar shift took place on a much larger scale when society moved from agriculture to manufacturing. It wasn’t experienced as a single transformation. It unfolded over time, as new forms of work emerged and older ones became less viable. For many, the transition was disruptive and, in some cases, deeply unsettling, as large segments of the farming population were displaced with few immediate alternatives.
But even then, it wasn’t immediately understood for what it was. It looked like a series of economic adjustments rather than a fundamental change in how people lived and worked.
Later transitions followed the same general pattern.
Electricity spread gradually, at first supplementing existing systems rather than replacing them. Automobiles were slow to gain traction, competing with transportation methods that were already well established. In each case, adoption was uneven, and the broader implications were not fully recognized until supporting systems began to develop.
In most cases, it wasn’t the technology alone that drove the shift—it was the infrastructure that evolved around it, allowing the new capabilities to be applied more broadly.
The common thread in all of these experiences wasn’t the technology itself.
It was how consistently people underestimated what it would eventually become.
Change Feels Distant—Until It Doesn’t
What ties these experiences together is not the technology itself.
It’s the way people respond to it.
When something new appears, the first reaction is often practical and reasonable:
- “That won’t affect my business.”
- “My customers are loyal.”
- “What I have works fine for what I need. It’s a lot of effort to change.”
- “Why would I change something that isn’t broken?”
These aren’t wrong conclusions.
They’re simply based on the information available at the time—and on the fact that the implications of the change haven’t reached them yet.
The Internet: A More Recent Example
I saw the same pattern again during the early growth of the internet.
At DHL, we were building systems on top of the internet before it was widely accepted as a business platform. What we needed were reliable, multinational interfaces that traditional tools did not provide. Many of the tools we required didn’t exist yet, so we built them as we went—including early forms of mobile communication to track packages in transit.
At the time, these were solutions to immediate operational problems.
Looking back, they were early pieces of something much larger.
Not long after, companies like Amazon began with relatively narrow use cases and expanded into areas that hadn’t been fully anticipated. What started as an online bookstore evolved into a platform that reshaped retail, logistics, and even computing infrastructure.
At the same time, communication was being redefined. The progression from early mobile phones to devices like the iPhone brought together capabilities that had previously existed in separate forms. Each step made sense on its own. Together, they changed how people live and work.
Why We Miss the Bigger Picture
In later work at PwC, we spent a good deal of time with companies trying to understand how emerging technologies might affect their businesses. Some were receptive and moved quickly to incorporate new capabilities. Others were not, and some of those experienced very difficult transitions as a result.
The most common response wasn’t disagreement.
It was dismissal.
“That won’t impact us any time soon.”
In many cases, it eventually did.
The common thread in all of these experiences wasn’t the technology itself.
It was how consistently people underestimated what it would eventually become.
The Pattern Is Consistent
Across different periods and technologies, the sequence tends to follow a similar path.
A new capability appears. It is treated as niche or optional. It improves and expands. It connects with other systems. Eventually, it becomes essential.
By the time it reaches that point, the change is no longer emerging.
It has already happened.
Each Shift Comes Faster
There is one additional factor that makes the current moment different.
Each successive wave of change has taken less time to unfold.
The shift from agriculture to manufacturing took decades to fully develop—and even longer to be recognized for its broader implications. The rise of the automobile also took time, accelerating only after infrastructure—roads and highways—caught up.
Later shifts moved more quickly.
Telecommunications expanded over years rather than decades. The internet developed quietly for a time, then expanded rapidly once the right conditions were in place. Entire industries were reshaped in a relatively short period.
What once unfolded over generations now unfolds within a single career or less.
Where This Leaves Us Today
Artificial intelligence appears to be following a similar pattern, though possibly at a faster pace.
There is already a general awareness that AI will change work. Some roles will disappear or be altered significantly. Others will emerge, though it’s not yet clear what they will look like.
What is less clear is how these changes will unfold in practice—and how quickly they will reach the point where they become personal.
That uncertainty is not unusual.
It’s part of the pattern.
A Final Thought
Big changes are easy to dismiss when they are happening to someone else.
They only become real when they reach you.
And by the time they do, the system—and perhaps the world—has already shifted.
Which raises a more immediate question.
If this pattern has repeated itself across electricity, transportation, computing, and the internet…
Is artificial intelligence simply the next example?
And if it is, will we recognize it any earlier than we did the others?
Or will it follow the same path—gradual, uneven, and easy to dismiss—until it becomes unavoidable?
