What About the Baby?
I was watching a documentary about AI, and halfway through I had to stop.
I needed to think.
In our conversation afterward, we started talking about something that keeps bothering me about the way AI is being presented to us.
There are people who genuinely believe AI is going to solve everything.
Disease.
Hunger.
Climate change.
Poverty.
Housing.
Education.
War.
Everything.
And it reminded me of an old story I remembered from years ago.
I couldn't remember the title or the author. I only remembered the idea:
A glorious new invention.
A tiny pill containing an entire Thanksgiving or Christmas dinner.
The future had arrived!
No cooking. No preparation. No dishes.
Just take the pill and you have your entire dinner.
But there was a baby.
And the baby swallowed the pill.
The problem was that the pill expanded when water was added.
And a human body contains water.
I remembered the story as being from the 1960s.
So I asked AI if it knew what story I was talking about.
At first, we didn't have the answer.
Then we went looking.
And what we discovered made the story far more powerful.
It wasn't from the 1960s.
It was written in 1910.
One hundred and sixteen years ago.
The story is “The New Food” by Canadian writer Stephen Leacock, published in his collection Literary Lapses.
And yes—the story really does involve concentrated food, a Christmas dinner compressed into a tiny pellet, and a baby who swallows it.
The little pellet expands when water is added.
And the baby gets the water.
You can probably imagine what happens next.
๐ณ
The story is darkly funny, but underneath the humour is something much more serious.
Consequences.
Think about that.
In 1910, someone was already writing about the excitement surrounding a technological breakthrough while quietly asking:
What could possibly go wrong?
And that's what struck me so hard.
Because here we are, 116 years later, doing something remarkably similar.
We are surrounded by enormous technological promises.
We are told to imagine the possibilities.
And yes, there are extraordinary possibilities.
But sometimes we become so fascinated by what a technology can do that we forget to ask what happens when it meets reality.
The inventor thinks about the invention.
The salesperson thinks about selling it.
The investor thinks about the money.
The consumer thinks about the convenience.
But who is thinking about the baby?
Who is thinking about the unintended consequence?
Who is thinking about what happens when millions of people use the technology?
What happens when somebody uses it in a way nobody anticipated?
What happens when something designed to be contained suddenly isn't?
That's why I think this little story from 1910 belongs in today's conversation about AI.
Not because AI is evil.
Not because technology is evil.
And not because we should be afraid of every new invention.
I'm actually fascinated by technology.
But fascination isn't enough.
Knowledge isn't wisdom.
Being able to build something doesn't automatically mean we should build it.
Being able to automate something doesn't mean we should automate it.
Being able to make something faster doesn't mean faster is better.
And being able to imagine something doesn't mean it is physically, economically, environmentally or socially possible.
Human beings dream.
We always have.
We dream about curing disease.
Unlimited energy.
Living on Mars.
Machines doing our work.
Artificial intelligence solving problems that have challenged humanity for centuries.
Dreaming isn't the problem.
Forgetting reality is the problem.
Because reality has rules.
Physics has rules.
Nature has limits.
Resources have limits.
Money has limits.
Human beings have limits.
And consequences don't care how exciting the sales pitch was.
Someone can stand in front of us and say:
“Don't worry. You'll love it!”
But I want to know what happens after we buy it.
I want to know what happens when the technology leaves the laboratory.
I want to know what happens at scale.
I want to know who benefits.
Who pays.
What resources it consumes.
What jobs disappear.
What new risks appear.
What happens when the system is wrong.
What happens when people misuse it.
And who is responsible when something goes terribly wrong.
So here are ten questions I think we should be asking about AI:
1. What happens when AI makes a mistake at enormous scale?
2. Who is responsible when an AI system causes real-world harm?
3. Who makes the money—and who pays the costs?
4. How much electricity, water, mining, manufacturing and infrastructure does AI require?
5. What happens to people whose jobs disappear faster than new ones are created?
6. What happens when AI-generated information becomes impossible to distinguish from reality?
7. What happens when governments, corporations or individuals use AI in ways nobody intended?
8. Are we actually solving human problems, or simply creating new markets around them?
9. What ethical boundaries should exist BEFORE something goes wrong?
10. And perhaps the hardest question: Are we building something because humanity truly needs it—or because someone figured out how to make money from it?
Stephen Leacock wrote his story 116 years ago.
He didn't have computers.
He didn't have artificial intelligence.
He didn't have data centres.
He didn't have ChatGPT.
But he understood something about human beings that hasn't changed.
We get excited.
We dream.
We invent.
We sell.
And sometimes we forget to stop and think about what happens next.
So I'm sharing this little story because I think we need its warning again.
Not as an argument against progress.
As an argument for thinking.
For ethics.
For consequences.
For reality.
For asking questions before the damage is done.
Because when someone shows us the miracle invention and says,
“Look what it can do!”
maybe our first response shouldn't be:
“Wow!”
Maybe it should be:
“Wait a minute.
What about the baby?”
And after 116 years, maybe that's still a question worth asking.
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