AI is not replacing photographers equally. It is changing the market value of every skill the profession is built on, separating those that were tied to the camera from those that will matter even more.
Ordinary photographs were always replaceable. Labor just hid it. A competent landscape took skill, time, and equipment, and that effort was treated as value even when the image itself was interchangeable. The market paid for the labor, not the photograph.
Then came stock libraries. The value of acquiring an ordinary image dropped sharply: the labor stayed, but the volume of potential sales grew while the price of each purchase collapsed.
AI zeroes out the labor, and the interchangeable image is worth exactly nothing. AI did not take the value away. It made the absence of value visible. And it did this not because it learned to make better images than photographers. It simply stopped counting the cost of producing them as part of the image's worth.
So what survives, it seems, is what cannot be reproduced. Not by the measure of craft, but because it is tied to a single event, to a trace, to an encounter that cannot be generated, because it did not originate in a written concept. This is where photography and generation supposedly part.
The argument holds only while we picture AI as a system that generates images. All of it rests on the photographer's work of hunting for the unique moment. But why can't what cannot be generated be delegated to AI instead?
Not the AI that makes images, but the one that drives the cameras and assesses the situation, the probability of a moment or an event. Or simply records everything at once. If a system can judge the odds of an event better than a person, can take a better vantage point, and can capture continuously, photography's old line of defense starts to fall apart fast.
The need to hold a camera in your hands may shrink sharply in the near future. Not because of generated images, but because of new mobility technologies applied to the same cameras, and most likely because of both at once. Not just to change the angle, but to take the photographer's place in physical space. Today we argue about generating images. In a few years the central question may no longer be generation, but the delegation of the act of shooting itself.
The camera can be handed to the machine entirely. One question remains: what happens to the knowledge a photographer spent decades building? Does it vanish with the camera, or does it just change its field of application?
Go back to the words about a written concept, the prompt. Here is the curious part: precise knowledge of composition and technical language produces far more accurate, more realistic images. Knowledge of the zone system, how spatial layers work, how depth of field and exposure behave, how to place light, and when to release the shutter shapes a generated image far more precisely than mere "vision." A paradox follows. The deeper a person understands photography, the stronger their command of generative systems. AI does not cancel professional knowledge. It moves where that knowledge applies. Apply the technical skills you have used for years to crafting the prompt, the exact description of the result you want, and it will stand head and shoulders above an amateur's. A professional photographer does not describe the picture he wants. He describes the photographic process that has to arrive at it.
Return to the word we started with. A written concept is intention stated in advance. The prompt does not search for the result; it retrieves one that already exists. Shooting works the other way around. Intention and result do not match, because the world intervenes, and the best thing in the frame is often the thing you never planned. These are two different modes: to describe in advance and to discover in the process.
A professional is strong in generation not only because he describes it better. He is strong because all his life he trained something else: to recognize the moment when the result outran the intention. That skill grew out of shooting, out of catching the unplanned. And it carries over into the place where everything is supposedly fixed in advance.
Generation does not level the amateur and the professional. It pushes them further apart. The one without the language writes "a beautiful sunset" and gets exactly what everyone else gets. The one who understands light, foreground, midground, background, and the moment frames a request the amateur simply cannot put together. He simply does not know what there is to say.
Generative images hand us endless combinations. The difficulty appears on the far side of the shot, where you no longer choose the moment but choose the variant that will be final. With the power to spin variations of the same frame forever, when do you stop? When do you make the final choice? The hard part of the profession used to sit before the image. Now it moves, step by step, to after it.
Photographers know a version of this already: pulling the three or five best frames out of a thousand. But it grows far sharper, and demands far more, once endless improvement opens in front of you. Before, the photographer chose among frames that already existed. Now he also has to choose the moment to stop refining. That is a different kind of professional decision.
The photographer who now looks vulnerable from every side is in truth vulnerable in only one narrow place. The same place that always made photography one of the cheapest, lowest-paid trades on the market. That place is the camera operator. The person who exposes correctly. He is no longer needed. But the problem may run deeper. For too long we used the word "photographer" for several different professions at once.
One person searched for the subject, made the aesthetic decisions, ran the camera, edited, selected, printed, and sold the result. We got used to calling this a single craft. It looked single for one reason: all of it lived in one body and was paid with one fee. The client paid for the shoot as a whole and never saw that inside that sum some roles were worth a great deal and others almost nothing.
The fusion was an economic convention, not the nature of the profession. As long as the roles could not be separated, their prices stayed the same. There was simply no way for the difference to show. Running the camera, finding the frame, the selection, and the decision about what the image should be all went on one invoice, though they asked for completely different things and were worth completely different amounts.
AI does what the market never could. It uncouples the roles and, for the first time, prices each one on its own. And the moment it does, the same gesture from the beginning repeats itself. The market once stopped counting the cost of production as part of the image's worth. Now it stops counting the operator's work as part of the photographer's worth. The first role to disappear is the most technical one, the role that passed for the heart of the craft because it needed hands and equipment and so seemed central.
But the curator and the visionary, those invisible layers above the operator's work that always stood behind a successful photographer, go nowhere. If anything, a feel for fine settings, for relationships, for style and composition only sharpens and gains weight. These were always the qualities that set apart photographers whose work could not be reproduced by simply repeating the technical process.
What is striking is that AI takes away the chance to make a good photograph by accident and become known for it. The chance we still see at global photo contests, where the winners are excellent works by authors not yet twenty. That stroke of luck disappears once generative technology and camera control change radically.
Maybe that chance is what we are really mourning. If so, the argument about AI turns out to be no argument about technology at all. It becomes an argument about which part of the profession was ever truly ours, and which part only needed human hands for a while.
AI raises the stakes. It asks for far more professional competence than many who call themselves photographers actually have.
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2 Comments
Hi Alvin, this was an interesting read but i disagree on several points. Though I wonder if that's intentional?
The first thing that seems very off is to suggest that all worth stems from a flat monetary value. This is completely misrepresentative, there are all sorts of factors to consider there that might alter the monetary value that someone will pay a professional to make photographs of something.
The second point is more worrying to me, that a person behind a keyboard is anything close to a photographer, and that photographers will make better prompts. It might be technically correct in the soulless, growth above all world the tech companies seem to want us to live in but it only works if you consider only money. As a lot of your points seem to be geared towards commercial photography, how about if I want my products to not just look authentic but BE authentic. If my brand is built on authenticity (quality of manufacture, etc.) I'm not going to risk cheapening that image using some generated image that gets the colour or the details wrong, I'll do it myself however I can or pay a real professional. And to anyone willing to say you can get it with the right prompt, I say maybe, but the time spent checking, refining, rechecking, refining, rechecking again over the whole image will mean the costs go up if you use AI, not down. It's happening with AI generated training videos already.
The article also treats a photograph as the same as a generated image. It is quite demonstrably not. The worst photo made by a person with a camera required them to be there. It's long been conventional wisdom that the harder something is to achieve the more worthwhile it is. Good things come to those who wait. An image generated of a soon to be extinct species by AI, worthless. The photo from the last member of the species taken will be priceless (morbidly I know) precisely because of what it is, moreso if it's taken on film and there's only one!
I think we should call Generative AI out for what it really is. An attempt by the rich tech companies to devalue human art and technical expertise, as a way of keeping working classes down and removing social mobility with out compliance. As goes for photographers, the same will happen for musicians and other artists making digital art. Physical art might just survive because that's another thing entirely.
Thanks for making me think so hard :D
Wow, that is a lot of blabla. AI generated imagery has nothing to do with photography, whether if it's used by an amateur or a pro. AI generated stuff can't be called a photo. It can be art, an image, call it what you like, but not a photo. Question for the writer: what do you call an image a photojournalist makes, who tries to do justice to reality? A 'real photo'? Or even fake news maybe like some pigs in this world? Please draw a line somewhere: my line is generated stuff, and yours Alvin?