I shoot with real cameras and I build AI visuals, sometimes for the same client in the same week. That gives me a fairly unsentimental view of what AI content is actually good for. It is a tool with sharp edges, not a religion.
In brief: AI content works when the audience knows, or would not care, that an image was constructed. It fails the moment a brand trades on trust in the real thing. Use it for concepts you cannot shoot and for extending real photography. Never use it to fake proof.
When does AI content genuinely work?
AI content works best in four situations: concepts that are impractical to photograph, product visualization before the product exists, deliberately stylized brand worlds, and extending real shoots with generated environments. In each case the audience either knows the image is constructed or would find that construction clever rather than deceptive.
Concepts that are impractical to shoot. One of my aviation clients needed a runway with their logo painted across it, photographed from the air. Chartering a plane and painting a runway was never going to happen. An AI composition delivered the campaign image in days.
Product visualization before the product exists. Packaging variations, colorways, seasonal scenes. When a brand is deciding, not publishing, AI iterations are faster and cheaper than any studio day.
Stylized brand worlds. Some brands live in a heightened visual universe on purpose. If the audience knows the image is constructed, AI is just a faster matte painter.
Extending real shoots. My favorite use. I photograph the real product, then use AI to swap environments, extend backgrounds, or build campaign scenes around the authentic hero shot. The product stays true, the world around it flexes. I wrote about how far a single day of real photography stretches in One Shoot Day, One Month of Content, and AI extends that reach even further.
When does AI content hurt a brand?
AI content hurts whenever an image functions as proof. Clinical outcomes, plated dishes, before and after skin photos, handmade goods, and anyone presented as a real person. If a customer would feel deceived on learning the image was generated, generating it turns a production shortcut into brand damage that no engagement metric offsets. Audiences are already uneasy here: a DoubleVerify study run with YouGov found that 92% of the 2,000 UK consumers surveyed say the rise of AI generated content is making it harder to trust information online, while only 41% feel confident they can identify it.
Anything that trades on trust. Medical clinics, food, skincare results, craftsmanship. The numbers back the instinct: Getty Images' VisualGPS research, drawn from more than 30,000 adults in 25 countries, found that 98% of consumers agree authentic images and videos are pivotal in establishing trust. One of my clients sells hand forged knives. The entire value of the brand is that a human made the thing. AI imagery there would be self sabotage.
People who are supposed to be you. AI founders, AI team photos, AI customer faces presented as real ones. Audiences forgive a lot, but not being lied to about who they are talking to. In the US this is now a legal line as well as an ethical one: the FTC's final rule banning fake reviews and testimonials explicitly covers reviews and testimonials from people who do not exist, including AI generated ones, and lets the agency seek civil penalties.
Filling a feed because it is cheap. Generic AI visuals read as generic instantly. The feed looks full and says nothing. This is the fastest growing category of brand damage I see, because the cost of posting became zero while the cost of attention did not. If feed volume is the metric you are chasing, the problem sits upstream of AI, and I made that argument in Followers Are Not a Business Goal.
The one test I apply before any AI project
Before any AI project I ask a single question: if the audience knew exactly how this image was made, would they care? If the answer is no, or they would find it clever, AI is on the table. If the answer is yes, I shoot it for real. That one question resolves almost every debate.
There is a middle path worth naming. Some concepts fail the test as documentation but pass it as illustration. A generated scene can sit openly beside real photography when it is framed as a visual idea rather than a record of something that happened. The framing, not the pixels, is what keeps the trust intact.
How do you keep AI content on brand?
Three habits keep AI work from drifting: anchor everything to real product photography, align color grade and film grain across generated and captured frames, and version every pipeline so you can reproduce a look you already shipped. AI belongs around your authentic images, not in place of them.
- Keep your real product photography as the anchor. AI around it, not instead of it.
- Match grade and grain between AI and camera work, otherwise the seams show in a scrolling feed even when no single image looks wrong.
- Version everything. AI pipelines change monthly, and you want to be able to reproduce a look you shipped.
What does AI content cost?
I offer AI content as a standalone service starting at $250 per project. The honest assessment comes first: if your brand is one of the cases where generated imagery would damage trust, I will tell you it should not be used at all, and recommend a conventional shoot instead. That refusal is part of the service.
FAQ
Can AI images replace product photography?
No. Real product photography stays the anchor of every brand I work with. AI earns its keep around that anchor by changing settings, stretching backdrops, and composing seasonal or conceptual scenes, while the product itself remains a true photograph. A feed built only on generated product images reads as generic and erodes trust.
Should I tell my audience when an image is AI generated?
Apply the same test I use: would knowing change how they feel? If disclosure would make the audience feel deceived, either disclose clearly or shoot the image for real. Constructed scenes presented as illustration rarely need a label. Constructed scenes presented as documentation always do. Your audience wants the option either way: the same Getty Images VisualGPS report found that almost 90% of consumers want to know whether an image was created using AI. Platforms are moving in that direction too, since Meta now labels AI generated content across Facebook, Instagram and Threads when it detects industry standard AI signals or when the person posting discloses it.
Which brands should avoid AI content entirely?
Brands whose value rests on proof of the real thing: clinics, restaurants, skincare lines, and artisan makers. My hand forged knife client is the clearest example, since the entire brand promise is that a human made the object. For those businesses, real photography is the only honest option.
If you are weighing AI content for your own brand, tell me what you are working on and I will give you a straight answer, including when that answer is no.