When the Machine Imitates the Eye: Are AI’s Photorealistic Images Still Photography in 2026?

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An image circulates. You see a face, the raking light of late afternoon, the characteristic grain of a sensor, perhaps even the shallow depth of field of a lens wide open. Everything is there. Except that no camera was ever pointed at this face — because this face does not exist. It was synthesized, pixel by pixel, by a generative model trained on millions of images.

At first the question feels like theoretical vanity. It is in fact dizzying: if an image imitates photography so perfectly that it fools the human eye, at what point does it cease to be one? Or rather: was it ever one at all?

A Distinction Resemblance Cannot Abolish

It is tempting to believe that realism is what makes a photograph. The recent literature urges caution. It cleanly separates two notions that resemblance tends to blur: photorealism — a visual style that simulates the appearance of the real — and photography — a technical act grounded in the capture of light by an optical device.1 2 That AI images now reach a level of realism sufficient to deceive our gaze changes nothing about this underlying distinction: they are two different things, and one does not entail the other.

The dividing line is almost ontological. Photography mobilizes a device to seize real scenes; it is anchored in the physical world, in a context, in a precise instant.3 Artificial intelligence, by contrast, captures no light. It analyzes statistical regularities within vast visual corpora, then synthesizes images from images.4 The "photographic" is then no longer a mode of inscribing the world: it becomes a mere style, a surface aesthetic quality, transferable from one file to another.5

The Vocabulary of the Apparatus, Emptied of Its Apparatus

The paradox lodges itself even in the words one addresses to the machine. When a user specifies in a prompt a camera body, a lens, a shutter speed, they simulate no photographic device. These terms function as mere image attributes, statistically correlated with the visual qualities we associate with the photographic.6 The entire history of photography is thereby converted into an exploitable visual resource, detached from the technical, epistemological, and cultural conditions that once gave it meaning.7 The name of a legendary lens no longer lets light in: it steers a computation.

To clarify this often muddled debate, one analytical proposal stands out: separate the concept of photorealism from that of photography, distinguish the function of depiction from that of detection of the real, and think of genre through function rather than appearance.8 A compact formula sums up the matter: AI-generated photorealistic images redefine what a photograph looks like — without being one.9

The Trouble with Seeing: When the Fake Appears More Real

If the question were purely academic, it would worry no one. Yet visual indistinguishability has concrete consequences. Generators now produce images that human observers can no longer tell apart from authentic photographs.10 11 12 More unsettling still: synthesized faces are judged not only indistinguishable from real ones, but more trustworthy than them.13

The effects register in the economy of attention as well. In marketing, generated imagery can surpass human productions in perceived quality, realism, and aesthetics, with some banner ads achieving a click-through rate half again higher than that of professional stock photography.14 Imitation no longer merely matches its model: it beats it on its own ground.

Flaws remain, however. Images produced by diffusion models frequently harbor artifacts and implausibilities — anatomical, stylistic, functional, physical, or sociocultural — that betray their artificial origin.15 A hand with too many fingers, a shadow that contradicts its light source: the real resists through its details. One also observes a gradation in kinship with photography. Text-to-image generation produces what one might call a "post-photographic" image, stripped of the authentic aura of the lived moment, whereas the transformation of one image into another remains closest to the original photograph.16

A New Medium Rather Than Photography in Disguise

Must we then banish AI from photographic territory with a single stroke? The theoretical positions are more subtle, and they trace a porous boundary.

Some emphasize a deep dependence. The notion of "generative re-photography" highlights the fact that multimodal AI rests fundamentally on the photographic medium and on its automatism of documentary recording: without the world's photographic archives, the machine would have nothing to recombine.17 Imitating a photographic aesthetic without producing a photograph reactivates, in the same movement, the old question of what constitutes photography as an artistic medium.18

Others point toward a displacement. A novel genre of "virtual photography" is emerging, in which realism arises from the algorithm and no longer from the optics.19 The technical process of generation indeed bears little resemblance to earlier photographic practices: it breaks with the history of optical media of which photography was the heir.20

From these analyses a fundamental agreement emerges. AI-generated photorealistic images do not constitute photography in the traditional sense, for they do not rest on the optical capture of the real. They form instead a distinct medium, one that borrows photography's appearance while raising unprecedented ontological, epistemological, and ethical questions about the very nature of the image.21 22 23

What Is at Stake Behind a Definition

One might see nothing here but a quarrel over words. But to name, in this case, is to decide what we grant credence to. Photography long drew its authority from its causal link to the world: something had taken place before the lens. The generative image breaks that link while preserving all its outward signs. It offers us the trace without the event, the testimony without the witness.

The answer to our opening question thus rests on a nuance that resemblance would have us forget. These images are not photography. They are its most accomplished imitation — and it is precisely because they imitate so well that learning to tell them apart becomes urgent.

Bibliography

  1. Hausken, Liv. "Photorealism versus Photography. AI-generated Depiction in the Age of Visual Disinformation," Journal of Aesthetics & Culture, 2024. https://doi.org/10.1080/20004214.2024.2340787
  2. Peng, 2024.
  3. Peng, 2024.
  4. Meyer, Roland. "Images from Images: Generative AI and the Reconfiguration of the 'Photographic'," Photography and Culture, 2025. https://doi.org/10.1080/17514517.2025.2522517
  5. Meyer, 2025.
  6. Meyer, 2025.
  7. Meyer, 2025.
  8. Hausken, 2024.
  9. Peng, 2024.
  10. Bird, 2023.
  11. Peng, 2024.
  12. Mukhina, 2025.
  13. Nightingale, S. J., & Farid, H. "AI-synthesized faces are indistinguishable from real faces and more trustworthy," 2022.
  14. Hartmann, 2024.
  15. Kamali, 2025.
  16. Andresyuk, 2026.
  17. Moskatova, 2025.
  18. Ogundipe, 2025.
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  20. Meyer, 2025.
  21. Bird, 2023.
  22. Moskatova, 2025.
  23. Ogundipe, 2025.

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