AI for Breakfast

Chris Witham • February 21, 2024

Post 36 - Should AI-generated imagery be considered art?


I’ve seen a lot of comments about this particular subject on various social media platforms and it certainly is a hot topic!


I guess you could compare it to the invention of photography in some ways. It caused a bit of a stir in the art world back then however we now have fine art photography so it seems people got over it eventually.


You could also argue that the writing of prompts to output images with AI is a form of creative writing, so could it be creative writing that’s the art or should we accept it as a new form of art? Beauty is in the eye of the beholder as the saying goes and I've seen some amazing imagery created with lengthy and well thought out creative prompts.


Using my own custom GPT built with GPT4 I got the following response, and once again at the very least it is certainly thought provoking.


In the ever-evolving landscape of technology and creativity, a question that frequently surfaces is whether AI-generated imagery should be considered art. This topic stirs up a blend of opinions, emotions, and perspectives, making it a fascinating area to explore. Here, we'll delve into various aspects of this debate, aiming to shed light on the artistic value of AI-generated imagery.


The rise of AI in the creative world

AI's foray into the realm of creativity has been nothing short of spectacular. From generating intricate visuals to composing music, AI technologies have demonstrated an ability to produce works that resonate with human emotions and aesthetic appreciation. But does this ability qualify AI-generated imagery as art?


The essence of art

To address this question, we must first consider what defines art. Traditionally, art is seen as a manifestation of human creativity and expression, evoking emotional or intellectual responses from its audience. It's a medium through which artists convey their vision, emotions, and messages.


The case for AI-generated imagery as art

  • Innovation and creativity: AI can create visually stunning images that often surpass the imaginative constraints of the human mind.
    These images can evoke emotions, provoke thought, and inspire, fulfilling many criteria we associate with traditional art.


  • Collaboration between human and machine: Many artists use AI as a tool to push the boundaries of their creativity. In these instances, the AI becomes an extension of the artist's vision, playing a crucial role in the creative process.


The case against AI-generated imagery as art

  • Lack of intent: Critics argue that AI lacks the conscious intent behind creating art. Since art is often defined by the intention and emotion of the creator, the absence of these elements in AI-generated works raises questions about their authenticity as art.



  • The role of the artist: Some argue that art is intrinsically linked to the human experience. It's not just about the end product but the journey of creation, reflecting the artist's personal touch, thought process, and emotional investment.


Where do we stand?

The debate over whether AI-generated imagery constitutes art is complex and multifaceted. On one hand, the ability of AI to produce visually captivating images that can evoke an emotional response suggests that these creations can indeed be considered art. On the other, the absence of human intent and the unique touch of an artist in the creative process poses a significant counterargument.


As we navigate this debate, it's essential to keep an open mind and recognize the potential of AI to complement and enhance human creativity, rather than seeing it as a replacement. The integration of AI in the art world opens up new avenues for exploration, pushing the boundaries of what is possible and challenging our preconceived notions of artistry.

Lines of colorful computer code on a dark background.
By Chris Witham December 11, 2025
Where AI really helps your Business If you spend any time on LinkedIn or X, you’ll have seen bold claims about how AI can help you build software in a matter of days. There’s a lot of excitement, a lot of big promises, and a fair bit of confusion for business owners trying to work out what’s real. A new term doing the rounds is “Vibe Coding” —the idea of describing what you want to an AI assistant and having it generate the code for you. It’s becoming popular because it can move things forward quickly and help people explore ideas they wouldn’t have been able to create alone. And the truth is, it does have its place. The challenge isn’t the technique. It’s the expectation that AI will automatically deliver finished, reliable, production-ready tools without any real design or thinking behind them. AI accelerates the work you already do well Used properly, AI can: • Remove huge amounts of repetitive work • Speed up drafting and iteration • Generate working prototypes in hours • Help non-technical people explore ideas • Improve documentation, planning and communication This is where it shines. But it still needs clarity, structure, and well-designed processes around it. It’s like having a very fast assistant rather than a fully formed development team. Why many AI projects don’t deliver what people expect Independent research this year showed a clear pattern: • Many early AI initiatives failed to produce measurable business value • Companies abandoned AI ideas because they couldn’t scale or integrate them • The gap between an impressive demo and a reliable tool is larger than people thought This doesn’t mean AI is overhyped. It means teams jumped straight to execution without the groundwork. The technology isn’t the issue. It’s the approach. Small businesses don’t need Enterprise Platforms Most UK small businesses don’t need to build a full software product. What they actually need is: • Better workflows • Faster content generation • Clearer communication • Improved customer support • Tools that reflect the way they work • Consistency and repeatability AI is perfect for this. A custom GPT trained on your tone, your documents and your processes can become: • A writing assistant • A customer support helper • A knowledge base navigator • An internal guide for staff • A quality-control layer • A process automator No engineering team needed. No complex infrastructure. No stress. Where AI builds real value right now AI works best when it’s part of a thoughtful, guided approach: • Define the outcome you want • Build a lightweight prototype (AI helps here) • Add structure, rules and guardrails • Connect it to your real workflow • Test it with real users or staff • Iterate until it feels natural You can still move fast. You just avoid building something brittle that breaks the moment it’s needed. The key insight: AI doesn’t replace expertise, it amplifies it AI is at its strongest when someone knowledgeable decides: • What it should do • What it shouldn’t do • How it should behave • What tone it should use • How it fits into the business • What checks and constraints matter That’s where tools like custom GPTs genuinely shine. They’re not software products in the traditional sense. They’re flexible assistants shaped around your business. With the right design, they can save huge amounts of time and deliver consistent, practical value without any of the complexity of building a full system. A more useful way to think about AI in 2026 Instead of “AI will build everything for you”, a healthier mindset is: AI speeds up the work, but you set the direction. For small businesses, that’s more than enough to make a real difference.
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