The danger of decorative photography and ornamental generative

Generative digital art is going through a paradoxical moment. Never has it been easier to produce „spectacular" images — impossibly refined textures, hypnotic chromatic compositions, oneiric landscapes of dizzying visual complexity. And yet, this very ease produces one of the most insidious threats to contemporary art: the reduction of the creative act to the production of decorative photography and ornamental generative. In other words, art risks becoming digital wallpaper — beautiful, but empty.

Generative artificial intelligence tools, from Midjourney and DALL-E to Stable Diffusion, have democratised the production of high-fidelity images and expanded the creative user base beyond artists and programmers with specialised training. This expansion has brought an enormous wave of visual content that immediately attracts attention, provokes instant emotion, but does not demand layered interpretation. We are, in a word, facing a new type of digital kitsch.

Decorative photography in the generative context does not refer to functional interior-decor photography, but to a deeper phenomenon: the systematic production of images that exist exclusively to be pleasing to the eye, without any conceptual anchor. These images imitate established styles — neoclassicism, surrealism, pictorialist photography — but reduce them to a superficial mixture of formal features.

Dejan Grba, in the academic study Bizarre Love Triangle: Generative AI, Art, and Kitsch (2026), calls this phenomenon „derivative exoticism": the capacity of generative models to assimilate recognisable stylistic features and combine them into „superfluously exotic" visual constructions that attract public attention, stir controversy, but remain conceptually thin. The emblematic examples are Théâtre D'opéra Spatial by Jason Allen (winner at the Colorado State Fair, 2022) — a tableau vivant composition deriving from neoclassicism and the Nabis, rendered in a pre-Raphaelite palette — and Pseudomnesia: The Electrician by Boris Eldagsen (winner at the Sony World Photography Award, 2023), which optically borrows the signatures of early photographic processes.

These works „submit to the kitsch that artificial intelligence sublimates from training data and from the ideologies of technology developers, and through this open the way for GenAI in mainstream culture".

Generative art captures attention through its capacity to produce an infinite variety of unique results. This abundance of novelty is convincing — it activates the fundamental human attraction to the unexpected. However, novelty, in itself, does not guarantee meaning.

A generative system that simply mixes parameters to create different forms and colours, without any guiding principle, can entertain momentarily but offers little material for reflection. Without a framework connecting these variations to broader ideas, novelty risks becoming spectacle devoid of depth. The danger is that artists and the public settle for novelty as such: „Look at how many different patterns this system can produce!" — without asking why these patterns matter or what they communicate.

In such a scenario, generative art risks becoming a demonstration of technical virtuosity, not a medium of artistic exploration. A random scribble may be novel in its details, but it lacks conceptual significance — likewise, an algorithm that produces complex patterns conveys nothing beyond its own generative rules, if there is no intentional design.

In 1939, the American critic Clement Greenberg published the essay Avant-Garde and Kitsch, in which he argued that avant-garde art represents a means of resisting the „dumbing-down" of culture caused by consumerism. Greenberg defined kitsch as an „ersatz culture" — a simulacrum of high culture that adopts many of its external appearances, but none of its subtleties.

This definition holds up remarkably well in the AI era. Kitsch is the attempt to produce a cheap imitation of existing art or to create „non-art as art" — visual products that lack aesthetic depth, offer instant gratification, and appeal to emotion in a superficial way. It represents the rejection of what is considered „beautiful" in art, elevating the banal instead; it is a concept that encompasses everything that is unoriginal, anti-intellectual, excessively sentimental, and excessively ornamented.

The enormous profits of kitsch are a source of temptation for the avant-garde, whose members have not always resisted, as Greenberg noted. Today, the temptation is amplified exponentially by the ease with which GenAI tools generate „impressive" images at the click of a button.

Vilém Flusser, in Towards a Philosophy of Photography, warned that the photographer always operates within the program of the apparatus. Even when the photographer believes they are applying their own aesthetic, epistemological, or political criteria, these criteria remain subordinated to the program of the camera.

Transposed to the GenAI era, Flusser's argument becomes even more urgent. The artist who uses Midjourney or Stable Diffusion is not only exploring the possibilities of their own vision — they are navigating the possibilities of the model's program, with all the biases, aesthetic preferences, and limitations embedded in the training data. Flusser warned that redundant photographs — those similar to what has already been seen — are not informative. Decorative generative art produces exactly this type of redundancy: images that seem new but repeat the same aesthetic patterns derived from the statistical mean of visual databases.

Decorative generative art does exactly the opposite: it submits completely to the program, producing what the model knows how to do „best" — namely the most pleasant, the most easily digestible, the most ornamental.

These defects are amplified by the fact that many such works win prestigious awards (Ars Electronica, Lumen Prize), which normalises the relaxation of creative thinking and complacency in the face of corporate AI.

The difference between competent execution and convincing art often lies not in technique, but in conceptual depth — the ideas, questions, and concerns that give substance to the work beyond surface qualities. This depth is not a mysterious gift; it is developed through intentional cultivation of intellectual curiosity, critical thinking, and sustained engagement with ideas from outside the studio.

Conceptual depth involves working with ideas that have complexity and ramifications beyond their immediate appearance. Surface concepts are often single-layered: „this image is about loneliness". Deep concepts have multiple facets: „this work examines how digital communication creates new forms of loneliness while promising connection, exploring this paradox through formal choices that mirror the simultaneous presence and absence of digital interaction".

Another attribute of depth is specificity instead of generality. Superficial concepts tend toward broad universals: beauty, emotion, the human condition. Deep concepts narrow down to particular aspects that can be truly explored, not merely vaguely invoked. Not beauty in general, but the specific tension between aesthetic attraction and ethical discomfort when beautiful form describes disturbing content.

Recent research confirms the existence of a satiation effect associated with AI-generated images. Studies show that GenAI images initially provoke a high level of inspiration, which gradually declines until it returns to baseline levels. This dynamic — initial fascination followed by perceptual exhaustion — is perfectly predictable in a visual ecosystem in which image production is virtually unlimited.

Oversaturation does not only manifest quantitatively, but also qualitatively: generative models tend to oversaturate colours, contrasts, and details, producing images that „overwrite" perception. It is the visual equivalent of a melody with the volume turned to maximum: impressive for a second, exhausting in the following ones.

Beyond the technical aspect, oversaturation is also a cultural problem. Every artistic medium began in rarity and ended in abundance. When a tool becomes accessible, it multiplies not only creativity, but also repetition. Oil painting, once the privilege of guilds, flooded the world with saints and still lifes. Print multiplied devotional kitsch alongside poetry. Photography industrialised portraiture and bad taste. Generative AI is only the latest terrain on which this pattern repeats itself.

Recognising kitsch as the default mode of digital content production is, paradoxically, the first step toward authentic generative art. Ethical and artistic use of AI requires a persistent, contextually sensitive resistance to the expressive valences of the technology, its sociocultural influences, and its economic temptations.

The artist's intention is the foundation of meaning. Before the model is trained or the prompt is written, the artist must clarify why this system exists. They may want to comment on the complexity of natural ecosystems, critique social dynamics, or explore existential themes. Intention guides the selection of algorithms, data, and parameters, ensuring that the system's novelty emerges within a conceptual framework, not within a decorative void.

Conceptual depth is also manifested through internal coherence — that alignment between formal choices and conceptual concerns. When concept and execution are inseparable, form becomes inseparable from content. In a superficial work, you often see a gap between how the work looks and what the artist claims it is about.

The danger of decorative photography and ornamental generative does not consist in the fact that they are „ugly" — on the contrary, they are often very beautiful. The danger consists in the fact that they replace thought with sensation, dialogue with consumption, interrogation with confirmation. They produce a visual comfort that anaesthetises the critical thought of the viewer and, simultaneously, of the creator.

The role of the artist in the AI era is not to exhaust the possibilities of the program, but to act against it — to use the generative instrument not to produce what the model „wants" to produce, but to articulate what the model cannot anticipate: a personal vision, a critical discourse, an irreducible tension between form and meaning.

Generative art can be more than a factory of novelties or an engine of digital decorations. It can become a platform for thoughtful exploration of themes, experiences, and ideas that matter — provided the artist refuses to be a functionary of the apparatus.