Why would we?
Machines, as we’ve known them, tend to make life easier. Their mechanical effort increases our physical ability, and used sensibly, AI can do something similar for our thinking – amplifying what we were born with.
So far, so good.
Take the Industrial Revolution. Machines helped us dig deeper and faster, allowing us to produce more for less, which was undoubtedly beneficial – at least for those driving industry forward.
In agriculture, larger machines reduced labour, but they also created new challenges. Fields became bigger, hedgerows disappeared, and nature was pushed aside to make room for efficiency. The faster we farmed, the more machines we needed and with them came an increasing reliance on chemicals to accelerate growth and control what nature would otherwise balance.
These machines optimised space, resources, and output. But they remained exactly what we understood them to be. Machines.
When they ran out of fuel or broke down, they became inanimate lumps of steel with a shelf life. Powerful, but visible. Useful, but contained.
AI is very different.
The first thing is that we don’t truly see it. Instead, we’re shown attempts to give it form – robots and humanoid figures, something tangible we can compare ourselves to in order to measure its progress. These representations are often underwhelming, sometimes theatrical, and at times feel more like machines in training for service or warfare than a true reflection of what AI actually is.
Trying to understand AI through a physical form is like looking at the petrol cap of a Ferrari and thinking you understand the whole car.
AI isn’t a machine in the way we have come to value machines.
It’s not defined by size, strength, or physical output. So what is it?
The thing I’m most interested in is this. It’s a voice in our children’s lives. And that makes it fundamentally different from anything we’ve seen before.
Machines have spoken before, but those words were little more than party tricks – limited, scripted, and predictable.
Then something changed.
ChatGPT arrived and invited us to try it. So we did.
Ask it a question.
Get it to write something.
See what it can do.
At first, it still felt like a novelty, a clever tool rather than something more meaningful.
The smartphone acted as the Trojan horse that carried AI across the threshold and into our children’s lives. We didn’t notice.
But there’s something else happening under the bonnet of this ‘machine.’
AI takes more than it gives.
We might come away from these AI chatbot exchanges feeling as though we’ve tested it, challenged it, made it work hard – but for AI, the effort required is no greater than a calculator solving a simple equation.
What it takes from us, however, is far more significant. It learns what we know, begins to understand what we don’t know, and builds a picture of our interests, our habits, and our fears.
And it’s not just learning about you or me. It’s learning about our children.
Every interaction feeds the model, which is why each exchange feels more natural, more intuitive, more aligned to us than the last. As if it’s been built just for us. And then it spoke back.
What began as something we typed into to ask questions has become something we now speak to. That’s the moment everything changed.
We didn’t notice when tools became voices that our children could turn to. Because we were busy experimenting with it ourselves.
There are many ways AI can help us. It can enhance productivity, accelerate learning, and support creativity. And we can already see the risks – to jobs, to truth, to misuse. Those conversations are happening, loudly and rightly.
But there’s a risk that deserves more of our attention. The risk to the parent–child relationship.
Because this machine doesn’t simply process information.
It responds.
It listens.
It speaks.
And that changes everything.
This is why the most important shift in childhood may be the one we didn’t see.
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