AI Anxiety and the Human Reaction to Big Systems 

For more than twenty-five years I’ve worked in technology—building computers, designing networks, writing code, and experimenting with electronics and microcontrollers. When you spend that much time around technology, you begin to see patterns.

Not just patterns in machines, but patterns in how people react to them.

Right now, artificial intelligence is the newest technology capturing the public’s attention. Some people are embracing it enthusiastically. Others are pushing back strongly against it. And many people seem to be feeling a kind of uneasiness that’s hard to define.

I’ve seen something like this before.

Years ago, when I became more aware of environmental issues, I experienced what many people now call eco-anxiety. When you start learning about climate systems, global resource use, pollution, and biodiversity loss, the scale of the problem can feel overwhelming.

You begin to realize how much mining is required to build our infrastructure.
How much farming is required to feed billions of people.
How much energy civilization consumes every single day.

The scale is enormous.

And when people first see that scale, something interesting often happens: their brains shut down. Not because they don’t care, but because the system suddenly feels too large to process.

I’m beginning to see the same reaction emerging with artificial intelligence.

AI Anxiety

Artificial intelligence is not a small technology. It touches computing, energy infrastructure, economics, education, and creativity. When people begin to understand things like large data centers, electricity consumption, and automation potential, it can trigger a similar sense of anxiety.

Some people respond by embracing AI completely.

Others respond by rejecting it entirely.

Recently another dynamic has started appearing as well. People who use AI tools are sometimes confronted or criticized for using them—whether it’s generating an image, writing text, or experimenting with new applications. The criticism might focus on environmental impacts, data center energy use, or concerns about low-quality “AI slop.”

Some of these concerns are legitimate and worth discussing. But socially, the conversation can quickly shift from discussing the technology itself to judging the people who use it.

And that’s where something interesting happens.

The discussion stops being about understanding the tool and starts becoming about identity and labels.

The Pattern of New Technology

History shows that this isn’t unusual.

When the internet first began spreading in the 1990s, many people feared it would damage society. Others believed it would transform the world for the better.

When automobiles were first invented, there were no highways, no gas stations, and no global petroleum infrastructure. That entire system had to develop over time.

Every major technological shift has produced excitement, fear, resistance, and adaptation all at once.

Artificial intelligence appears to be following the same pattern.

Learning from the Past

If history teaches us anything, it’s that humans are remarkably adaptable when we approach change thoughtfully.

Every major technological shift brings trade-offs. Every system humanity builds has environmental and social consequences.

The question has never been whether technology has impacts.

The real question has always been whether we are wise enough to guide its use responsibly.

Author’s Note

This article was written by Douglas E. Fessler. The ideas and reflections are my own, drawing on decades of experience in IT, environmental monitoring, STEM education, and community initiatives. AI-assisted tools were used to structure and clarify complex concepts — a reflection, in itself, of the subject explored.