Gen Z Is Gen AI — and We've Got It Backwards
They say AI is replacing entry-level jobs.
But what if we thought of Gen Z as Gen AI instead?
From what I've seen in engineering teams, it really shouldn't be a threat. In every stage of my career — from hands-on engineer to architect to tech leader — one thing has stayed true: we're all students. And some of the most important lessons come from the youngest people in the room.
A Story I Keep Coming Back To
Years ago, when I was leading a small team of three, a fresh graduate joined us. He was dedicated, thoughtful, and walked into the office every day with a contagious smile.
We started him off with what we thought were "simple" tasks on a complex Java-based middleware. He handled them with care and discipline, reminding me of my own early days wrestling with code and deployments.
Most of the time, the answers were predictable — this was the era before streams and fancy abstractions; there were only so many ways to sort an array.
But every so often, he'd surprise us with a different kind of insight.
- Not just technical solutions.
- He'd suggest better ways to schedule work.
- He'd spot friction in our process that the rest of us had accepted.
- He'd organise the right moments for the team to connect.
On paper, he was "entry level." In reality, he was a catalyst.
The Lesson Feels Sharper Now
Today, in a world of GenAI copilots and cloud-native platforms, that lesson feels even sharper.
We talk about Gen Z as if they're the ones who need to "catch up" with how work is done.
But they are the first generation to enter the workforce with AI as a native capability, not a novelty.
We've got it backwards.
Many organisations treat entry-level talent as if they need hand-holding. But some of my sharpest conversations have come from people 10–15 years younger — unburdened by "we've always done it this way," yet deeply curious about how to build secure, resilient systems.
What This Means For Leaders
Gen Z isn't just "entry-level talent."
In many ways, they are Gen AI: the generation for whom AI is infrastructure, not magic.
Same fresh energy. Same challenge to old patterns. Same refusal to accept fragile systems and clunky workflows as the norm.
If you're leading teams — whether in security, cloud, or product — here's a question worth asking yourself:
When was the last time you sat down with the youngest person on your team and genuinely asked what they think?
Not as a mentoring exercise. Not to tick a box. But because you actually wanted to learn.
Leadership in the age of AI isn't just about teaching the next generation.
It's about being willing to learn from them too.
#Leadership #GenZ #FutureOfWork #GenerativeAI #Management