Young People Are Limitless - We Just Need to Get Out of the Way

There is a story doing the rounds about young people and AI. You have probably heard it. They are dependent on it. They cannot think for themselves anymore. They copy and paste their way through homework, outsource their feelings to chatbots, and are arriving in the workforce lacking the skills employers actually need. The headline writes itself: AI is producing a generation of helpless, incurious young people, and we are all going to pay for it.

It is a compelling story. It is also, I think, mostly wrong.

The concern is not imaginary

The data that feeds this narrative is real enough. Research from the National Literacy Trust found that around a quarter of young people copy AI outputs without editing them. The UK Safer Internet Centre's Safer Internet Day 2026 survey found that 60% of teenagers worry about AI being used to create inappropriate images of them. A third of parents say they are concerned AI is eroding their children's ability to think independently.

These are genuine concerns, and they deserve serious attention. The risks are not hypothetical. The misuse is documented. And the anxiety that sits underneath all of this - that we are handing something powerful to young people without giving them the framework to use it well - that is worth taking seriously too.

The AI Optimist Reframe

What that means is we have to be careful which story we tell ourselves from the same set of facts. Because there is another reading of this data, and it is considerably more interesting.

Ninety-seven percent of UK young people aged 8 to 17 use AI tools, according to the UK Safer Internet Centre. Seventy-three percent of them believe those skills will help their future careers. Nearly half of the 13 to 18-year-olds surveyed by the National Literacy Trust are customising AI outputs with their own ideas. A similar proportion are fact-checking what AI tells them. And - here is the part people tend to skip over - 65.5% of young people in that same survey say they still believe learning to write properly matters, even in a world with AI.

There are a few things happening here. Young people are not passively absorbing AI. They are actively integrating it. They are learning, faster than most adults, what these tools are good for and what they are not. The doom narrative treats the highest-adoption group as the most at-risk group. I think it is more accurate to say they are the most experienced group.

Are young people actually ready for an AI-first workplace?

The evidence suggests they are far closer than the headlines imply. Eurostat found that nearly 64% of 16 to 24-year-olds across Europe used generative AI in 2025 - almost twice the rate of the general adult population. The question of readiness is not really about capability. It is about opportunity: whether organisations are building the conditions for young people to bring those skills to work in structured, supported ways.

High adoption is not the same as high proficiency, of course. Critical thinking, communication, and knowing when not to use AI - those are skills that need environments to develop in. Young people need mentorship, context, and workplaces that treat them as capable of learning.

What this means for you

The Sherpas AI programme is built around exactly this idea - that young people, given the right environment and support, do not need to be fixed. They need to be met. The question is not whether they can thrive in an AI-first world. The question is whether we are creating the conditions to let them.

The organisations that figure this out first - the ones that hire young talent and channel their AI fluency into real commercial outcomes - will have a genuine advantage. Not because they were kind, but because they were smart about it.

Getting out of the way

I recorded a conversation recently about the relationship between education, opportunity, and what we actually owe the next generation. It is worth twenty minutes of your time if this is something you think about.

You can find it here: Young People, AI and What Comes Next.

And if you are part of the fellowship community and want to explore what this looks like in practice, the fellowship page is the right place to start. The people in that network are already having these conversations.

The young people are not the problem. They never were. They are fast, adaptive, and optimistic in ways that should embarrass most of us. The question is whether we build the structures, create the opportunities, and make the choices that let them prove it.