AI Art vs Human Creativity — The Real Difference and why AI Cannot Be An Artist | A Conversation with AI Expert Andrea Isoni, PhD, Chief AI Officer, AI speaker | Redefining Society and Technology with Marco Ciappelli

The Last Touch: Why AI Will Never Be an Artist

I had one of those conversations... the kind where you're nodding along, then suddenly stop because someone just articulated something you've been feeling but couldn't quite name.

Andrea Isoni is a Chief AI Officer. He builds and delivers AI solutions for a living. And yet, sitting across from him (virtually, but still), I heard something I rarely hear from people deep in the AI industry: a clear, unromantic take on what this technology actually is — and what it isn't.

His argument is elegant in its simplicity. Think about Michelangelo. We picture him alone with a chisel, carving David from marble. But that's not how it worked. Michelangelo ran a workshop. He had apprentices — skilled craftspeople who did the bulk of the work. The master would look at a semi-finished piece, decide what needed refinement, and add the final touch.

That final touch is everything.

Andrea draws the same line with chefs. A Michelin-starred kitchen isn't one person cooking. It's a team executing the chef's vision. But the chef decides what's on the menu. The chef check the dish before it leaves. The chef adds that last adjustment that transforms good into memorable.

AI, in this framework, is the newest apprentice. It can do the bulk work. It can generate drafts, produce code, create images. But it cannot — and here's the key — provide that final touch. Because that touch comes from somewhere AI doesn't have access to: lived experience, suffering, joy, the accumulated weight of being human in a particular time and place.

This matters beyond art. Andrea calls it the "hacker economy" — a future where AI handles the volume, but humans handle the value. Think about code generation. Yes, AI can write software. But code with a bug doesn't work. Period. Someone has to fix that last bug. And in a world where AI produces most of the code, the value of fixing that one critical bug increases exponentially. The work becomes rarer but more valuable. Less frequent, but essential.

We went somewhere unexpected in our conversation — to electricity. What does AI "need"? Not food. Not warmth. Electricity. So if AI ever developed something like feelings, they wouldn't be tied to hunger or cold or human vulnerability. They'd be tied to power supply. The most important being to an AI wouldn't be a human — it would be whoever controls the electricity grid.

That's not a being we can relate to. And that's the point.

Andrea brought up Guernica. Picasso's masterpiece isn't just innovative in style — it captures something society was feeling in 1937, the horror of the Spanish Civil War. Great art does two things: it innovates, and it expresses something the collective needs expressed. AI might be able to generate the first. It cannot do the second. It doesn't know what we feel. It doesn't know what moment we're living through. It doesn't have that weight of context.

The research community calls this "world models" — the attempt to give AI some built-in understanding of reality. A dog doesn't need to be taught to swim; it's born knowing. Humans have similar innate knowledge, layered with everything we learn from family, culture, experience. AI starts from zero. Every time.

Andrea put it simply: AI contextualization today is close to zero.

I left the conversation thinking about what we protect when we acknowledge AI's limits. Not anti-technology. Not fear. Just clarity. The "last touch" isn't a romantic notion — it's what makes something resonate. And that resonance comes from us.

Stay curious. Subscribe to the podcast. And if you have thoughts, drop them in the comments — I actually read them.

Marco Ciappelli
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