Here’s a question worth sitting with: do you feel more capable or less capable when you use AI to produce your work? And perhaps more uncomfortably — do the people around you see you as more than you are, or less, when the output they’re receiving isn’t entirely yours?

I don’t ask this to make anyone defensive. I ask it because it matters, and because most of us are quietly navigating this question without ever naming it.

What is gained and what is lost when we use AI to produce work on our behalf? Let’s explore both sides honestly, because the answer isn’t simply good or bad — it’s more complicated and more personal than that.

Why convenience is worth questioning

I want to start by acknowledging something: AI is genuinely extraordinary. In 2024, Demis Hassabis and John Jumper received the Nobel Prize for their work on AlphaFold — a model that cracked the protein folding problem that biological scientists and chemists had spent nearly 50 years trying to solve. Two computer scientists, no formal background in biochemistry, and yet they arrived at an answer that had eluded entire generations of domain experts. The implications for medicine and science are staggering. That is not a small thing.

So I’m not here to argue that AI is a problem. I’m here to argue that how we use it deserves more honest examination than it’s currently getting.

Because convenience is a very slippery slope. And the more seamlessly something makes our lives easier, the less likely we are to question it. Ease is seductive precisely because it doesn’t ask anything of us.

That’s worth pausing on.

The first thread: what happens to us

When we use AI to write our emails, build our presentations, generate our ideas, or produce our creative work, something is gained and something is quietly given away.

What’s gained is obvious: speed, output, capability beyond our current skill level. You can produce at a level that would have taken years to reach on your own — or might never have been reachable at all without significant resources. That’s real. For a small business owner, a solo consultant, a first-generation professional who doesn’t have access to a team of researchers and writers, AI is a genuine equaliser.

But here’s the devaluation risk that doesn’t get discussed enough.

When the output is excellent but the process was opaque — when you handed something off and received something polished in return, without fully understanding how — a subtle erosion begins. Not immediately. Not dramatically. But over time, you may find yourself less able to do without it. Less confident in your own unassisted voice. Less certain of where your thinking ends and the model’s’ thinking’ begins.

And if other people are evaluating you — professionally, creatively, intellectually — based on AI-assisted output, there’s a valuation gap forming in real time. They’re forming an impression of you that may not be entirely accurate. Whether that overestimates or underestimates you depends entirely on context. But there’s a gap. And gaps have a way of becoming problems.

Who are you without your AI? That’s not a rhetorical provocation. It’s a practical question. What happens if the access is withdrawn — if it becomes unaffordable, if it goes down, if the terms change? The person you need to be in that moment is the person you’ve been quietly outsourcing.

The second thread: what happens to knowledge itself

There is a larger question here that goes beyond the individual, and it’s one I find genuinely unsettling — not in a catastrophist way, but in the way that serious things deserve to be taken seriously.

AI draws from a vast foundation of human knowledge: decades of scientific research, centuries of creative output, accumulated expertise across every discipline imaginable. It processes and synthesises what human beings have built through effort, curiosity, failure, and imagination. That foundation is what makes AI capable. Without it, the model wouldn’t be capable of delivering what it does.

So the question I keep returning to is this: what happens when that foundation stops being replenished?

When fewer people do the painstaking, long-form work of developing original expertise — because faster, cheaper, easier options exist — what feeds the next generation of AI? What feeds the next generation of human knowledge?

We already do this with earlier civilizations. We look at ancient structures, ancient texts, ancient technologies, and we ask — genuinely bewildered — how on earth did they do that? The knowledge didn’t transfer. It was lost. Not because people were careless, but because the conditions that produced it stopped existing.

Creative fields are particularly exposed. The stylistic breakthroughs in art, music, literature — the ones that changed everything — emerged from people who had done the hard work of mastering their craft before they broke with it. You can’t innovate from a foundation you never built. AI can produce technically proficient output, but it cannot produce genuine novelty. Not yet. And possibly not ever in the way humans mean when they say something profoundly changed their life.

Where does that leave us?

There’s a version of the future that looks like this: the tedious, labour-intensive, manual work remains necessary and continues to be done by the people least empowered to automate it. The mid-level procedural and administrative layer gets hollowed out. And at the top, the people who thrive are those with genuine depth — the truly exceptional thinkers, the people with foundational knowledge that no model can replace, the ones who use AI as a sophisticated tool rather than a substitute for their own capability.

That’s not a comfortable picture if you’re anywhere in the middle.

But it’s also not inevitable. The decisions that shape where we land are being made right now, by each of us, every time we choose how to engage with these tools.

The most useful frame I’ve found is this: am I using AI to extend what I can do, or to replace what I should be developing? The first builds towards something. The second quietly borrows against your future capabilities.

There’s no universal answer. The right balance looks different for a founder, a student, a scientist, a creative. But the question is worth asking honestly — and regularly.

Because the people who will thrive in this landscape aren’t those who use AI the most, or those who reject it entirely. They’re the ones who know exactly what they bring to the table that no model can replicate — and who have done the work to make sure that’s true.

Follow me on Instagram: @FayNiewiadomski 

About Author

Fay Niewiadomski

I awaken leaders to purposefully discern the best way forward, with such clarity, that they find within themselves the courage, wisdom, and compassion to do what they never dared to do before.

I’ve been privileged to work closely with C-level officers, presidents, ministers, global chairpersons, diplomats, board members, senior business and political leaders, and their teams to successfully navigate complex, high-stakes situations and make sound business and personal decisions resulting in profound and lasting change.

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