The Human Mark Versus the Machine Prompt
Forget the latest quarterly earnings or a buzzy new funding round. Let’s talk about something that’s actually making people see red: AI-generated art. Specifically, the notion that it is art. A recent piece from a visual artist and writer, Jess Harwood, cuts right to the chase. She went to a concert, felt the raw human emotion of live music—something that predates AI by millennia—and realized the pervasive unease that now accompanies any new creative output. Is it human? Or did some algorithm just scrape the internet for inspiration?
This isn’t just a philosophical debate confined to art circles. Harwood recounts her visceral reaction: “when I see AI generated images, music or words presented as ‘art’, I see red. It’s boring, it’s theft, it’s soulless, sterile…” The sentiment is echoed, she notes, by those who organize creative events, citing the Perth Comics Arts festival’s clear stance against promoting AI-generated materials. Pumping a fist in the air at that news? That’s the kind of human reaction AI can only dream of replicating.
The Empty Promise of Instant Creation
Harwood’s personal anecdote about being approached by a researcher wanting to train an AI on her artistic style is telling. The pitch? Type a verbal prompt and voilà—an artwork, indistinguishable from her hand-drawn pieces. Her response? Silence. Why? Because, as she puts it, “If I was able to generate an artwork in seconds, then what is the purpose of me, as an artist?” She likens the creative process to a perilous journey, a “leaky boat” where battling for survival is inextricably linked to the final triumph. You can’t just fast-forward through the struggle and call it art. It’s like claiming you’ve climbed Everest by looking at a picture of the summit.
And that brings us to the core question: Who is actually making money here, and what’s the point beyond technological novelty? Harwood nails it when she asks about the authorship behind AI “art.” Is it the machine? The prompt-writer? The tech bro who built the system that cannibalized human creativity? What profound narrative can any of them offer about the process? “I typed the prompt and pressed enter” — a thrilling origin story, no doubt.
“When people are moved by art, they want to know the artist and about the artistic process that created it – they want to know the band, they buy their merch to say “I saw them live”, they would die of happiness if they could grab a coffee with Neil Finn and ask him about his creative life (what about it, Neil?).”
From Cave Walls to Digital Echoes
Harwood’s reflection drifts back to the dawn of humanity—cave paintings, early jewelry. These were marks made to say, “we were here, we lived.” It’s a primal urge, an act of defiance against oblivion. She imagines the last human picking up a stick to draw in the dirt, a final artistic whisper into the abyss. This deep-seated human need for expression, for leaving a mark, is what AI seemingly bypasses entirely. It offers echoes, not voices; reflections, not originality.
Her concert experience, punctuated by a fellow attendee’s uninhibited cheers, cemented her realization. This raw, unadulterated human response to music is something AI can analyze, perhaps even predict, but never truly feel. Until that moment, she’d viewed generative AI as a looming threat. Now, she sees it for what it is: a “pale imitation.” A shadow play on the wall, mistaking itself for the fire.
Is AI Art Just High-Tech Plagiarism?
Harwood’s argument hinges on the idea that AI art is not born from genuine experience or intentional struggle, but from the sophisticated remixing of existing human creations. The vast datasets used to train these models are, in essence, compilations of work by countless artists who poured their lives into their craft. When an AI generates an image, it’s not creating something novel; it’s stitching together patterns and styles it has been shown, devoid of the artist’s intent, pain, or joy. This raises serious ethical questions about attribution, compensation, and the very definition of creativity itself. It’s a convenient way for tech companies to profit from the uncredited labor of human artists, cloaking it in the guise of innovation.
Who Actually Benefits from AI-Generated ‘Art’?
Ultimately, the question isn’t whether AI can produce visually appealing outputs. It’s about who benefits from this commodification of creativity. The artists whose work forms the bedrock of these datasets see no direct financial return. The audiences are presented with technically proficient but emotionally hollow creations. The primary beneficiaries appear to be the tech companies developing and deploying these AI models, along with the platforms that host and monetize the generated content. It’s a system that seems designed to extract value from human artistry while offering little in return, creating a new form of digital colonialism where original creators are exploited for the sake of automated production.
Long live art and our humanity. The human mark, however imperfect, however hard-won, will always resonate louder than the most polished digital echo.
