We weren’t built for this

Why most people can’t grasp the AI revolution

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The next time you see an excavator toiling at a worksite, don’t be surprised if there is nobody sitting in the operator’s seat.

Because it started in the dirt.

In Arizona, on the site of a future factory, an excavator moves steadily through the dust. There is no one in the cab. No hard-hatted worker pulling levers or gauging the angle of the trench by eye. This machine is guided by a neural network trained on thousands of hours of expert human operation. It senses pressure, resistance, vibration. It learns. It adjusts. It works twelve hours a day without breaks or complaints. And it doesn’t age, doesn’t sleep, and doesn’t need a pension.

This is not a prototype. It’s not a glossy tech demo. It’s real, it’s live, and it’s already reshaping the construction industry.

Boris Sofman, a PhD in robotics from Carnegie Mellon and founder of Bedrock AI, has argued that digitizing the physical world through retrofitted machines is no longer hypothetical. According to Sofman, you can take an excavator, equip it with sensors and compute, and make it operate with more consistency and scalability than a human operator.

That single excavator is just one node in a coming transformation few of us are prepared for. Autonomous heavy equipment is already operating in Texas, Arizona, and California. These machines can dig foundations for homes, load dump trucks, and even clear debris from disaster zones. They do it with no need for human micromanagement, just a digital blueprint and enough data. And the data keeps growing.

We’ve seen how AI can write poems and pass law exams. That was just the warm-up. The true shift, the one that will hit every working-class job, every highway, and every factory, is the integration of AI with machines that move earth, lift steel, and build the physical world.

The problem is that most people can’t see it. Not because they’re ignorant, but because we weren’t built to think like this.

Humans evolved for local, linear, personal change. We understand cause and effect. We understand the tools in our hands. What we don’t understand is a machine that learns by watching us, then does the job without us, at scale, at speed, and without pause.

And yet this is where we are. AI is being embedded into construction, logistics, agriculture, medicine, and manufacturing. Entire sectors are being redefined not by policy, but by capability.

But it is happening invisibly. It won’t eliminate most jobs outright. At least not at first. It will eliminate training pathways. It will erode the need to hire entry-level workers. It will consolidate the value of labor into fewer, more technical hands. Over time, the shape of the workforce will change more than its size. 

And dignity will become harder to come by for those not born into the right part of the curve.

Sofman has emphasized that automation doesn’t need to solve every task, just the high-volume, high-cost ones. Excavation alone is a $120 billion market in the U.S. Automating even a fraction of it changes the economics of how we build.

And it’s not just about replacing workers. The companies deploying these systems argue that labor shortages are already holding back critical projects. They say the average age of heavy equipment operators is over 50. That nearly half will retire in the next decade. That some infrastructure projects, even when funded, don’t break ground because there aren’t enough trained workers to do the job.

That may all be true. But let’s be honest. Those jobs aren’t coming back. Not the way they used to exist. What we’re facing is not a job crisis, it’s a meaning crisis. A future where labor is no longer needed at the scale we’ve known, and society hasn’t caught up to the moral, cultural, or economic implications.

Most people still think the AI revolution is about chatbots and fake images. That’s only the surface. Underneath, machines are learning to do. To act. To build. And they are doing it faster than our politics, our institutions, or our imagination can keep up with.

This is not a doom scenario. It could be liberating. It could allow us to decouple human worth from toil. But that will not happen by accident. It will require vision, courage, and public will. And it starts with awareness.

Because the bulldozers are already thinking. And if we don’t start thinking too, we may find ourselves standing on the wrong side of a trench we didn’t dig.

Disclaimer: Jim Powers writes opinion columns. The views expressed in this editorial are my own and do not necessarily reflect those of Polk County Publishing Company or its affiliates. In the interest of transparency, I am politically Left Libertarian.