Robots, Automation, and Jobs: How to Have the Honest Conversation with Your Child

A student in my S4 class asked me something last year that I found unexpectedly hard to answer. We were discussing AI and employment trends, and she said: "Sir, if so many jobs are going to be automated, why are we spending so much time studying for DSE?"

I didn't give her a glib reassurance. I think she deserved a more honest response, and I've been thinking about how to have this conversation — with teenagers, with younger children, with families — ever since.

What we know and don't know

Let me start with the honest assessment of the evidence. Studies on automation and employment consistently show two things that seem contradictory until you look more carefully.

First: automation does displace jobs. Roles involving routine, clearly defined procedures — certain types of data entry, basic document processing, standard customer service — are being reduced or transformed. This is real and ongoing.

Second: employment in total has not collapsed in any advanced economy despite decades of automation. New roles are created. Old roles are transformed. The pattern is disruption and recomposition rather than net elimination.

What we genuinely don't know is whether the current wave of AI-driven automation is categorically different from previous waves. Some serious economists argue it is — that AI is different because it can automate cognitive tasks, not just physical or routine ones, and the pace of change is faster than workers can adapt. Others argue the historical pattern of new jobs replacing old ones will hold. This is genuinely contested, and anyone claiming certainty is overclaiming.

What this actually means for a student in Hong Kong right now

Here's the practical framing I give my students.

The question isn't "will my job exist?" It's "what part of my work will a machine be better at, and what part will require something that machines aren't good at?"

Machines are very good at: processing information at scale, pattern recognition in well-defined domains, tasks with clear success criteria, working without rest, producing consistent outputs.

Humans are currently much better at: navigating genuinely novel situations, building trust with other humans, exercising ethical judgement in ambiguous contexts, creativity that requires understanding of human experience, and physical tasks in unstructured environments.

The practical implication is this: any career your child considers will likely have AI tools that handle the routine parts. A doctor using AI diagnostic support. A lawyer using AI document review. An accountant using AI data analysis. The question is whether your child, in whatever career, develops the capabilities that supplement and direct the AI — rather than the capabilities that compete with it.

How to talk to children at different ages

For primary school children (P3-P6), the conversation doesn't need to be about job loss at all. The more productive framing is: "Computers are very good at following instructions exactly. People are good at deciding which instructions to give and when the instructions need to change." This is developmentally appropriate and also accurate.

You can make this concrete with household examples. "The dishwasher does the washing part — but who decides what needs washing, whether something is too delicate for the machine, and whether the plates are clean enough when it's done? That's you." The partnership model is the truthful model.

For junior secondary students (S1-S3), more directness is appropriate and they'll see through evasion anyway. The conversation I recommend: "Some jobs will change a lot because of AI, some will change a little, and some new jobs will be created that don't exist yet. Nobody knows exactly which is which. What we do know is that the people who do well will be the ones who stay curious and keep learning."

For senior secondary students (S4-S6), they're old enough for the full honest version. They should know the uncertainty. They should understand that the skills worth investing in are adaptable ones — learning to learn, strong communication, the ability to work across technical and non-technical domains.

The things parents sometimes get wrong

Dismissing the concern. "Don't worry, there will always be jobs for clever people" is not the reassurance it sounds like. It sidesteps the legitimate question and signals that you're not taking it seriously. Your child will notice.

Catastrophising. Some parents, after reading alarming articles about automation, swing the other way and tell their child that most jobs will disappear and education is essentially pointless. This is both factually unsupported and psychologically harmful. The honest answer is somewhere in the middle.

Defaulting to "STEM is safe." I want to be careful here because I teach STEM. Technical skills are valuable. But software engineering is increasingly affected by AI-assisted coding tools. Data analysis roles are being transformed. "Study computing and you'll be fine" is an oversimplification that may not serve your child's actual interests.

What to actually say

If your child raises this concern — about the point of studying, about whether their future career will exist — here's the core message I think is honest and useful:

"The world is changing in ways nobody can fully predict. The people who do best in changing environments are the ones who are curious, who know how to learn new things, who can communicate clearly, and who understand how to work with other people. Everything you're learning now — even the subject matter that seems irrelevant — is building those capabilities. And none of that becomes worthless."

That's not empty optimism. It's grounded in what we know about adaptability. And it respects your child enough to acknowledge the question instead of deflecting it.