AI can produce an image in nano-seconds, then create hundreds of variations before a painter has mixed a color or cleaned a brush. Some of the results are technically bewildering and others inspire disbelief: How is this possible? Yet their abundance is changing our relationship to novelty. When nearly any visual idea can be summoned on demand, newness becomes easier to manufacture but harder to believe in. In an age of effortless images, the mess left behind by making something may become part of what makes it valuable.
A study presented at the 2024 CHI Conference proffers one perspective about how this happens. Participants who used an AI image generator during a visual ideation exercise became more fixed on an initial example and produced fewer ideas, with less variety and originality, than those in the control group. The study involved only 60 people, so its findings should be treated cautiously, though they articulate something many artists and designers have begun to notice: a tool built to accelerate imagination can also narrow it by presenting a polished answer before a more difficult, original idea has had time to form.
Researchers have already observed a version of this shift. Across six experiments involving 2,965 people, participants consistently valued art labeled “AI-made” less than work labeled “human-made,” even when the images themselves were identical. Awareness of the machine changed the perceived value of the human hand.
Nostalgia is part of the current attraction to the handmade. We remember darkrooms, paste-up boards, paint-stained clothes, and the physical tools that digital technology has made unnecessary or irrelevant, and often forget the expense and tedium the processes demanded. Still, the renewed power of visible erasure or the pleasure of encountering an unrestrained line reaches beyond nostalgia. These marks allow us to envision the intent and the decisions behind them.
In educated hands, AI can still become a profound artistic medium. Photography and digital tools have disrupted ideas about skill and authorship before becoming vehicles for extraordinary art. AI will be shaped by artists whose choices are specific enough to resist its defaults, and those artists may create work we cannot yet imagine. The presence of a tool has never settled the question of artistic value; the depth and consequence of the decisions made with it still matter.
I think our nostalgia for mess is growing from a hunger for evidence that making something still requires time, effort, commitment, and—dare I say it—love.
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