Hector Gomez Creative Blog

At CES this year, many visitors read the Content Credentials icon as a warning that an image was AI-generated. It means the exact opposite — and that misunderstanding is a problem for every working photographer.

Generative models are excellent at what they've seen most and poor at the rare and specific. Which just turned visual scarcity into a competitive advantage.

Two years ago most competitions had no AI policy. Today all of them do — and where they chose to draw the line quietly amounts to a technical definition of photography.

Imperfection became proof that an image is real. The problem is that a code can be forged — and generative models are already very good at grain, flash and blur.

The Debate: Generative Artificial Intelligence vs. Photography With the rapid advancement of generative AI technologies and the emergence of platforms like Midjourney and Stable Diffusion, the photography community finds itself at a crossroads, sparking a passionate debate. Traditionalists in the field argue that AI-generated images lack the essence and originality that define genuine artistic expression. Conversely, proponents of AI tools point to their efficiency and cost-e