I have spent over 20 years making money with a camera. I used to photograph headshots all the time. I photographed portraits, families, and corporate teams. I know exactly what it takes to make a person comfortable in front of a camera, how to find their absolute best angle, and how to capture a sliver of their true personality in a fraction of a second. I understand the nuances of lighting a face to flatter different features, and I know the patience required to get a subject to finally drop their professional mask and show a genuine smile.
Now, my primary focus is on surprise proposals. That is a specific space where people will always want a real, breathing human being behind the camera. You simply cannot fake the raw, unfiltered emotion of a surprise proposal, a wedding, or a bar mitzvah with an algorithm. People still want that personal touch for their families and their biggest life moments. They want a witness, a storyteller, and an artist who can anticipate the joy and capture it forever.
But the photography industry is vast, and not every gig is about capturing a crying groom or a joyous family gathering. A massive portion of our industry is built on strict commercial utility.
If you are a photographer who relies on that commercial work, we need to have a very serious conversation about what is happening right now with artificial intelligence.
Testing the Machine on Myself
I am a tech-forward person, and I have been watching the rapid development of artificial intelligence very closely over the last decade. I wanted to see exactly where the technology currently stands, not just from reading articles, but by putting it to the test myself. I decided to try out Google Gemini and its Nano Banana 2 image model. My goal was simple. I wanted to see if I could create highly usable, professional-grade personal brand photos of myself just by typing words into a chat box.
I gave Gemini a highly specific description of my everyday look to see if it could replicate my actual appearance. I told it to generate an image of a bald Caucasian man, approximately 38 to 45 years old, with a standard build. I specified my exact outfit down to the minor details:
- A simple black t-shirt.
- Standard blue jeans.
- Black sneakers with absolutely no visible logos.
- My signature thick orange acetate glasses.
Beyond this, I also provided Gemini with a handful of iPhone photos of myself, captured outside of my house.
I hit enter and waited. Ten seconds later, the results popped up on my computer screen. They were completely shocking. The lighting was beautiful and natural, looking exactly like a professional studio setup or high-end window light. The depth of field was perfect, mimicking an expensive portrait lens shot wide open. And the subject looked exactly like me. It was not just a generic bald man in glasses. It captured my likeness to a degree that made me genuinely uncomfortable.
The Trick Question Experiment
To see just how realistic these generated images truly were, I decided to run a small experiment. I selected three of the best AI-generated photos and started reaching out to my network. I sent text messages to friends, and I also went out of my way to show the photos to people in person.
Here is exactly how the test worked:
- I presented the three images side-by-side on my screen.
- I asked them a very straightforward question: “Which one of these three is the real photo?”
- I watched as they studied the screen, completely unaware of the reality of the situation.
The catch, of course, was that it was a trick question. None of the photos were real. Every single pixel was generated by a machine in a matter of seconds.
The Terrifying Disconnect
When I did this test via text message, people were completely blown away when I revealed the truth. They would reply with their guess, pointing out why one photo looked more natural than the others. They could not believe a computer created the image they confidently chose as “real.”
“I would not have been able to guess what was fake”
“Crazy”
“Wild”
“Insane”
But when I conducted this experiment in person, something truly wild happened. It is the part of this whole experience that actually scares me the most.
I would stand right next to a friend, hand them my phone, and ask the question. They would immediately pull the phone closer to their face. They would pinch the screen to zoom in on my digital eyes, my skin texture, or the way the shadows fell on my shirt. They would mutter things under their breath about how the something felt a little strange, or how the background looked too perfect. They were actively looking for the digital fingerprint.
But they never looked up.
I was standing right next to them, breathing. All they had to do was look up from the screen, look at my actual physical face, and compare it to the photos. Not a single person did it. They were so entirely consumed by the fake pixels on the screen that they ignored the physical reality standing right beside them.
This blew my mind. It showed me how easily we accept the digital world as our primary reality. If people will trust a screen over the person standing next to them, what does that mean for the concept of visual truth? More importantly for us, what does it mean for the business of photography?
The Collapse of Commercial Photography
Let us think about the clients who hire us for standard, everyday commercial work.
- An actor needs a clean headshot for an audition or casting call.
- A local realtor needs a friendly, well-lit photo for a park bench advertisement or a business card.
- A product maker, an inventor, or an artisan needs clean photos of their items for an e-commerce store.
- A corporate executive needs a fresh, modern image for their company website or LinkedIn profile.
Historically, these clients would book a session, pay our day rates, and respect the craft of photography. They understood that good lighting, a good camera, and a good eye cost money. But business is business. If an AI tool can get them a flawless, professional-looking result in ten seconds for a fraction of the cost, why would they ever hire a professional photographer again?
The hard truth is that they will not. We are going to see a severe, rapid loss of income in these specific photography niches. The barrier to entry for high-quality, “good enough” imagery has dropped to zero. A realtor does not necessarily care about the artistic integrity of their headshot. They just want to look approachable and professional so they can sell houses. An inventor who spent years creating a physical product just wants it to look good on a digital kitchen counter, and AI can put it there instantly without renting a studio. Gemini and Nano Banana 2 can deliver exactly what these clients need, on demand.
The Unspoken Theft and Ethical Nightmare
The direct loss of income is only one half of the nightmare. We also have to look at the ethical side of the conversation. These incredibly realistic AI tools did not magically learn how to light a subject, balance a composition, or replicate the look of a 50mm or 85mm lens out of thin air.
These algorithms were trained on millions upon millions of photographs. Tech companies are constantly scraping the internet to feed their machines. They are using the hard work, the carefully curated portfolios, and the copyrighted images of professional photographers to build their models.
Every time an AI generates a photo with perfect studio lighting, a flawless white background for a product, or stunning cinematic bokeh, it is mimicking the techniques that working photographers spent decades mastering. We did not consent to this process. We were never compensated for our massive contributions to their databases. In a very literal sense, our own portfolios are being used to train our direct replacements. It is a bitter pill to swallow for an industry built on copyright and creative ownership.
Where Do We Go From Here?
So, where does this leave us as working professionals? The reality is that AI is here, and it is permanently changing the rules of our industry. We cannot put the genie back in the bottle, and we cannot ignore the technology hoping it goes away.
If you are currently making a living photographing products, standard corporate headshots, or basic real estate photos, you need to pay very close attention to these developments. Your clients now have an alternative that is faster, cheaper, and shockingly realistic. You need to figure out how to adapt to a market that is suddenly competing with a machine.
We have to lean heavily into the things that artificial intelligence simply cannot do.
- AI cannot build a genuine, trusting relationship with a nervous client before a big session.
- AI cannot capture the unpredictable, messy, beautiful reality of a live event as it unfolds in real time.
- AI cannot hide in the bushes to capture the exact second a partner drops to one knee for a surprise proposal.
We must focus on the human experience. We have to sell our unique perspective, our empathy, and our ability to be present in the moment. The machine can generate a perfect image, but it can never capture a real memory. That is our only way forward.
Note: the only real photographs in this entire article are the 6 from my iPhone.
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