Does AI Make Art Look Like Other People’s Work?

A Transparent Look at Neotech Realism, Originality, and My Painting Process**

AI reference image vs. Vanessa Corrigall’s final underwater sunset painting showing a mother and child in water.

The conversations around AI art, originality, and ethics have become louder and more layered over the past few years. Collectors ask thoughtful questions. Art historians have entered the discussion. And many people simply want to understand how contemporary artists are navigating this technological shift.

One question I’m asked often is:

“If you use AI during your process, doesn’t that mean your art might look like someone else’s?”

It’s a genuine and understandable concern — especially when much of what the public sees online are AI images designed to imitate famous painters or popular styles. But what I’ve learned, both through practice and through testing my own work, is that this assumption doesn’t reflect how many artists actually use these tools today.

My studio practice falls within an emerging direction I call Neotech Realism:
a contemporary form of realism where digital tools assist the artist’s perceptual research, while the final artwork remains entirely hand-painted, intentional, and physically crafted.

This post is meant to give collectors, critics, and the simply curious a transparent, grounded view of what that actually looks like.

 

Why People Assume AI Art Looks the Same

There’s a reason this concern exists. The internet is full of examples where users intentionally prompt a program with phrases like:

  • “In the style of Monet”

  • “Make this look like a comic book”

  • “Paint this like Artist X”

These outputs circulate widely, creating a cultural myth that AI automatically clones artistic styles. In reality, AI reflects how it’s used. And in serious contemporary practice — especially within Neotech Realism — the intention is not imitation. It’s exploration.

 
“AI reference vs. Vanessa Corrigall underwater painting of a swimmer floating in bright turquoise water.

How Vanessa Corrigall reinterprets AI reference studies into original underwater paintings using Neotech Realism.

How I Actually Use AI (and Why It Doesn't Create the Art)

Let me be completely clear:

AI does not generate my paintings.
AI does not produce my compositions.
Nothing in the finished artwork is printed or generated.

AI appears only during my research stage — the same way a camera, projector, sketching app, or funhouse mirror has appeared in the workflows of countless artists before me.

Underwater environments are complex. Water refracts, stretches, compresses, and blurs forms in ways that cameras struggle to capture. Light scatters. Skin tones shift. Limbs distort.

AI allows me to study these physical behaviors in ways that are impossible to achieve with traditional reference tools. It’s not giving me an artwork — it’s giving me information.

Once that exploration is complete, the rest is traditional:

  • drawing by hand

  • refining the composition

  • building layers of acrylic

  • glazing, editing, adjusting

  • shaping colour relationships

  • physically painting every inch

This is the heart of Neotech Realism:
technology expands perception, but the hand defines the artwork.

 

What the Reverse Image Search Really Revealed

To satisfy my own curiosity — and to answer questions I knew collectors might ask — I ran reverse image searches on several of my finished paintings.

What appeared was not a list of duplicates by other artists.

Instead, the search results matched…

my paintings with my other paintings.

At first, this made me laugh. Then I realized just how meaningful this was.

1. My paintings resemble one another because I have a coherent visual language.

Google reverse image search results compared with Vanessa Corrigall’s original underwater painting showing stylistic consistency.

Google reverse image search shows Vanessa Corrigall’s own paintings as matches, highlighting her consistent Neotech Realism style.

Reverse image algorithms look for patterns — colour, motion, texture, subject matter. Because my underwater work explores refraction, distortion, surface shimmer, and immersion, these elements naturally appear across multiple pieces.

This isn’t duplication.
It’s signature — the foundation of collectability.

Critics, curators, and art historians recognize this as the point where an artist's voice becomes unmistakable.

2. The algorithm was clustering by genre, not declaring sameness.

Google Lens doesn’t understand originality. It cannot interpret creative intention. It simply groups images with shared features:

  • figures underwater

  • turquoise & coral light

  • swimmers

  • rippling distortions

Genre similarity is not artistic replication.
If it were, every impressionist landscape would collapse into a single painting.


3. None of the “similar images” reproduced my compositions.

Not one result repeated:

Google reverse image search results compared with Vanessa Corrigall’s lakeside painting inspired by an AI reference.

Google reverse image search shows Vanessa Corrigall’s own artworks as visual matches, demonstrating her consistent Neotech Realism style.

  • my angles

  • my colour structures

  • my distortions

  • my cropping

  • my refraction patterns

  • my emotional tone

Even when the algorithm showed works by other underwater painters, none were true matches — only thematic cousins.

4. The results confirmed something important: my work is distinct within its genre.

The algorithm recognized that my pieces form a cohesive set — yet did not confuse them with anyone else’s.

For an artist working in Neotech Realism, this is exactly the point:

AI helps me explore light and physics, but my hand, decisions, and intuition create the painting.
The result is recognizably mine — and only mine.

 

Why Some AI Art Looks Similar (and Why Mine Doesn’t)

AI reference image vs. Vanessa Corrigall’s sunset lake painting of a woman and child.

Vanessa Corrigall transforms AI reference studies into original hand-painted works in her Neotech Realism style.

AI can mimic style when someone asks it to. That’s how you get “Van Gogh-style sunsets” or “Renaissance portraits with robots.” But my process has absolutely nothing to do with stylistic imitation.

My prompts are about physics:

  • How does light break underwater?

  • How does motion bend a limb?

  • How do colours dissolve at depth?

  • How does immersion shift perception?

These are questions of reality, not aesthetics.

And reality has no single artistic owner.

The Heart of My Work: What Makes It Mine

Regardless of tools, style comes from experience, curiosity, and the hand.
My work is shaped by:

  • my underwater colour vocabulary

  • my interest in perception, memory, and dissociation

  • my long study of Alberta’s swimming culture

  • my brushwork and layering process

  • years of observing how bodies move through water

These elements cannot be automated.
They come from lived practice.

Neotech Realism doesn’t reduce individuality — it heightens it.

 

Projecting the image to speed up results

A Long Line of Artists Using New Tools

Throughout art history, new tools have always caused concern:

  • Oil paint in tubes shocked academic painters.

  • Cameras were accused of destroying realism.

  • Projectors were once taboo.

  • Photoshop rewired the entire illustration world.

Yet each tool eventually expanded what art could be.

AI is simply the newest chapter in that story.

And like every chapter before it, what matters most is how the artist uses the tool — not the tool itself.

Why Transparency Matters

I believe the relationship between artist and collector is built on trust.
Sharing my process openly isn’t about defending it — it’s about connecting.

Most people are relieved, even excited, when they hear the real story:

  • nothing is generated

  • everything is hand-painted

  • AI is only a research tool

  • the originality is verifiable

  • the style is consistent because the voice is consistent

Transparency isn’t a disclaimer.
It’s part of the work.

 
Google reverse image search results compared with Vanessa Corrigall’s underwater red-swimsuit painting inspired by an AI reference.

Reverse image search shows Vanessa Corrigall’s own paintings as visual matches, demonstrating her consistent Neotech Realism style.

What AI Actually Gives Me

AI expands my ability to explore:

  • impossible angles

  • surreal distortions

  • light scatter and absorption

  • the physics of water

  • emotional states connected to immersion

This is the essence of Neotech Realism —
technology extending perception, not replacing creation.

The tool broadens the questions I can ask.
The painting answers them.

 

Closing: Originality, Neotech Realism, and the Future of Painting

Google reverse image search results compared with Vanessa Corrigall’s underwater swimmer painting inspired by an AI reference.

Reverse image search groups Vanessa Corrigall’s own artworks together, showing a consistent Neotech Realism style developed independently of AI references.

So, does using AI mean my artwork might resemble someone else’s?

No. It means my artwork resembles my own — as it should.

The reverse image searches confirmed what I feel every time I paint:

  • my body of work is cohesive

  • my visual language is distinct

  • my compositions are original

  • my style is recognizable

  • my technique is my own

This is the foundation of Neotech Realism:
a fusion of contemporary tools, traditional handcraft, and a deeply personal relationship with water, perception, and memory.

If you’d like to explore this work in person, see upcoming exhibitions, or learn more about the ideas behind the paintings, I’d love to connect.

You can join my mailing list, visit my exhibitions, or explore available works on my website — and be part of the evolving conversation around art, technology, and the future of realism.

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AI-Inspired Art: A New Movement Blending Technology and Traditional Painting