Questions Worth
Asking.

AI-assisted image generation is especially useful when a project would be difficult, expensive, or impractical to produce traditionally. Depending on the project, it can also reduce costs by eliminating the need for physical sets, locations, stylists, studio time, travel, weather delays, and other production logistics. I find it works especially well when the goal is to create something that would be hard to capture in-camera, such as matching multiple dog breeds in the same pose, placing a product in a location that would be difficult or costly to access, or exploring more visual directions than a traditional production would allow.

A traditional shoot may still be the better choice when the product, process, or category requires the subject to be completely authentic and captured in-camera. It can also make more sense for simple, straightforward projects where the production process is already efficient and the creative upside of AI is limited. AI is strongest when it solves a real production challenge, expands the visual possibilities, or creates something that would be difficult to produce traditionally. It is not always the best tool for every image.

No. After nearly four decades as a commercial photographer and director, I made the decision to step away from traditional production and focus fully on AI-assisted image generation. I may still capture reference images to guide the process, but the final work is created through AI.

The best results come from knowing the important details early: product requirements, brand standards, color direction, environment, and anything that absolutely needs to be included or avoided. AI allows for tremendous creative exploration, but it does not always behave like a traditional shoot where every small detail can be adjusted along the way. The strongest results come from a clear brief, well-defined requirements, and some openness to the different ways an idea can be solved visually.

Yes. AI can help extend the value of existing brand assets by placing them in new contexts, creating complementary imagery, or developing new visuals that feel consistent with the brand's established look. When used thoughtfully, it allows new and existing assets to work together in a way that feels aligned, cohesive, and consistent across a broader campaign.

Under current U.S. Copyright Office guidance, works created purely by AI are not eligible for copyright protection because they lack human authorship. Work that includes meaningful human creative involvement — such as art direction, prompt development, image selection, compositing, retouching, and other post-production decisions — may have protectable elements, but copyright availability and enforcement may vary as legal guidance evolves.

Because copyright protection for AI-assisted imagery is still evolving, I convey all transferable rights and permissions available to me in the approved deliverables. This allows clients, affiliated brands, partners, and successors to use the work across marketing, advertising, packaging, and promotional materials, without limitation as to media, territory, or duration.

I do not upload proprietary or confidential client information into AI image-generation platforms or LLMs unless that use has been discussed and approved. I also avoid tools where uploaded data may be used for training, and prioritize paid platforms with terms that allow greater control over how project materials are handled. My goal is to protect brand assets, product information, and creative strategy while still using AI tools effectively.

Yes. Approved deliverables are intended for commercial use across all brand communications. Although, as with any brand asset, usage should be reviewed against the client's legal and brand standards. AI-assisted imagery is commercially viable, but copyright protection and enforcement are still evolving.

Yes. AI-assisted images can include real products, logos, packaging, and existing brand materials, especially when the client provides approved assets for reference or incorporation. As the tools improve, they can reproduce those elements with increasing accuracy, but final details still need careful review. Clients should pay close attention to labels, trademarks, logos, product claims, colors, and other owned brand assets to make sure they are represented correctly.

Not entirely, but it is changing the business of image-making. The shift feels similar to the transition from film to digital: some skills become less central, while others become more valuable, and photographers have to decide how they want to position themselves in this new paradigm. Some will adapt by incorporating AI into their process, while others may continue serving clients who prefer traditional production or move toward areas where real-world capture remains essential. AI may replace certain tasks and workflows, but it does not replace taste, judgment, experience, or the ability to understand what an image needs to accomplish.

Not always. AI can be significantly more cost-effective on projects that would otherwise require extensive production logistics, such as sets, locations, stylists, models, travel, or weather-dependent shoots. But if a project is simple, efficient, and already inexpensive to produce traditionally, AI may not be the cheaper option. The bigger value is often not just reducing cost, but expanding what can be created within the same budget.

AI can generate endless options, but it does not know which one is right for the brand, the audience, or the assignment. It also does not understand which image has the strongest composition, the right visual balance, or the small adjustment that will make all the difference. Taste is the ability to recognize what is worth keeping, what should be changed, and what should be rejected. As the tools become more accessible, judgment becomes more important, not less.

AI can generate images, but it cannot understand a brand's goals, audience, history, or business problem on its own. Human direction is what turns output into communication. The value is in knowing what to ask for, what to keep, what to change, and when an image is finally doing its job.

The shift was driven less by what I was leaving behind and more by what I felt pulled toward. After decades in commercial photography, nearly all of my work had become focused on food and beverage clients. That experience gave me a strong foundation, but AI reintroduced the sense of possibility I felt when I first picked up a camera. It gave me permission to widen the frame again — to explore people, places, characters, and ideas that traditional production rarely made practical. For me, AI is not a rejection of my past, but a new way to use the same instincts: lighting, composition, direction, taste, and visual storytelling.

I use a range of AI image, video, enhancement, and post-production tools, including platforms like Midjourney, GPT Image-2, Firefly, Flux, Runway, Kling, Magnific, Topaz Labs, and Photoshop. The specific tools change often, and I frequently combine multiple platforms depending on what each one does best. The landscape changes quickly, so I try to stay flexible, but I prioritize paid tools that allow commercial usage and offer clearer protections around how project materials are handled.

I typically include two rounds of revisions in my quote, understanding that adjustments are a normal part of the process. My goal is to make sure clients receive the assets they need, while also recognizing that AI revisions do not always behave like traditional retouching. Some changes may require reworking or rebuilding an image rather than making a simple adjustment, which is why clear direction and must-have details are important early in the process.

Turnaround depends on the scope, complexity, number of deliverables, and approval process. AI-assisted projects can often move faster than traditional production because there are fewer logistics to coordinate, but the strongest results still require time for exploration, refinement, and final post-production.

Still images are delivered as flattened RGB TIFF files, 4,000 pixels on the long edge, in sRGB color space. Motion files are delivered as MP4 files. Higher-resolution files, alternate formats, layered files, or additional output versions can be provided when included in the project scope. The standard delivery is 4K, but the work is not limited to that resolution when a project requires more.

No. Part of the value of working with me is that I stay current with a fast-changing technology landscape. I continually test emerging AI tools and workflows to determine the best approach for each project. Clients bring the goals, brand knowledge, audience insight, and must-have details. I bring the technical fluency, visual judgment, and production experience needed to turn that direction into finished imagery.