What I Learned Investing in AI Editing Tools
I spent years trying to outsource editing to human editors and never found anyone who could match the speed I needed without a real, ongoing quality tradeoff. Shifting to an AI-assisted editing platform for a first pass has been the closest thing to solving that problem I've found.
It hasn't replaced my own eye or judgment, and I don't expect it to. If you're weighing whether these tools are actually worth the investment for your own workflow, the Adventure Travel Photographer's Playbook covers how I've restructured post-production around this shift as part of a full business system.
Why I Went Looking for This in the First Place
My editing bottleneck was never a mystery. A day of shooting produces roughly two days of editing, culling, color correction, and a first-round selection process that has to happen before a client sees anything. That ratio doesn't change no matter how efficient the shooting itself gets, and it puts a hard ceiling on how many projects I can realistically take on in a given stretch.
I tried outsourcing this to human editors more than once over the years, hoping to find someone who could match my speed without meaningfully compromising quality. It never quite worked. Either the speed wasn't there, or the quality required enough revision on my end that the time saved disappeared into managing someone else's output instead of doing my own editing faster.
AI-assisted tools entered the picture as a different kind of experiment, not a replacement for a human editor, but a way of handling the earliest, most repetitive stage of the process before my own judgment needed to get involved at all.
What the Tool Actually Does Well
The genuine value I've found is in the first pass: an initial cull and a base color and exposure correction across a full shoot day's worth of images, done fast enough that I can start my own refinement at roughly what used to be my second round of edits instead of my first. That shift alone has meaningfully cut the total time a project spends in post-production.
This works because the earliest stage of editing is also the most repetitive and least creatively demanding, sorting out technically unusable frames, applying a reasonable baseline correction, the kind of work that benefits from consistency and speed more than from nuanced judgment. That's exactly the kind of task current tools handle well, and handing it off has freed up real time and mental energy for the parts of editing that actually require my eye.
I don't think of this as the tool doing my editing. I think of it as the tool doing the least interesting third of editing, so I can spend more focused energy on the two-thirds that actually determine whether the final images are genuinely good.
Where It Still Falls Short
The tool doesn't reliably catch the kind of subtle judgment calls that separate a technically fine image from a genuinely strong one, which frame in a burst actually captures the peak of an expression, whether a slightly imperfect exposure is worth keeping because the composition or moment outweighs the technical flaw. That judgment still has to be mine, applied on top of whatever the first pass produces.
It also doesn't understand the specific story or brand context behind a given shoot the way I do after a full briefing and a day on location. A base correction that's technically reasonable can still miss the specific tone or mood I'm actually trying to build across a gallery, which is exactly the kind of gap my own second-pass refinement exists to close.
I've learned not to expect the tool to close these gaps on its own, since expecting more than it can genuinely deliver is a recipe for disappointment rather than a fair evaluation of what it's actually good at.
How I've Had to Adjust My Own Process Around It
Bringing this tool into my workflow required more upfront setup than I initially expected, since a first-pass tool is only as useful as the parameters and preferences it's working from. I spent real time calibrating it to my own preferred baseline look, color and exposure preferences, and general culling logic, before it started producing output I could genuinely trust as a real starting point rather than something requiring heavy rework.
This calibration process was itself useful beyond just improving the tool's output. It forced me to make explicit some editing instincts that had previously lived entirely in my head, undocumented and inconsistent in ways I hadn't fully noticed until I had to actually explain them clearly enough for a tool to apply consistently.
I still periodically revisit and adjust that calibration as my own style continues to evolve, treating it the same way I'd treat training a human assistant, an ongoing relationship rather than a one-time setup that's simply finished and forgotten.
What This Has Actually Done for Project Capacity
The most concrete outcome has been capacity. Cutting real time out of the earliest stage of editing has meant I can take on more projects within the same stretch of time, or alternatively spend more of my existing time on the higher-value creative work rather than the repetitive first pass that used to eat a disproportionate share of every project's post-production window.
This hasn't translated into a dramatic, overnight transformation of the business, but it's been a real, compounding efficiency gain across every project since I started using it consistently. Small time savings on every single project add up meaningfully over the course of a year of continuous work.
Whether This Actually Changes Pricing
Clients occasionally ask, directly or indirectly, whether using AI-assisted tools changes what editing should cost, and I've thought about this honestly rather than dismissing the question. My answer is that the tool changes how I spend my time, not the actual value delivered, since the final judgment, quality control, and creative decision-making are still entirely mine, applied on top of whatever the first pass produces.
I don't discount pricing based on using this tool, the same way I wouldn't discount pricing for using any other piece of software that makes my own workflow more efficient. What clients are paying for was never the mechanical labor of a first-pass cull, it was always the judgment and creative decision-making that happens afterward, and that part of the process hasn't changed at all.
What I'd Tell a Photographer Considering This Investment
If you're considering a similar tool, I'd say the real question isn't whether it can replace your editing, it almost certainly can't, at least not yet, in any way that preserves the quality you're actually known for. The real question is whether it can meaningfully speed up the least interesting, most repetitive part of your process, freeing up time and energy for the parts that actually require your specific judgment.
Evaluated that way, rather than as a wholesale replacement for human editing skill, the investment has been genuinely worth it for my own workflow. I'd encourage anyone considering it to run the same honest evaluation rather than either dismissing these tools entirely or expecting more from them than they can currently deliver.
How This Might Change as the Tools Improve
These tools are improving quickly, and I expect the line between what the tool handles and what requires my own judgment to keep shifting over time. I try to stay genuinely curious about that shift rather than either resisting it out of attachment to how things have always been done, or assuming too quickly that a newer version has closed gaps that, on closer inspection, are still genuinely there.
I revisit my evaluation of these tools periodically rather than forming an opinion once and holding it fixed indefinitely, since a tool that fell short of a specific task a year ago might handle it competently today, and the reverse is also possible if a platform's priorities shift in ways that don't serve my specific use case as well.
What I Tell Clients Who Ask Directly About AI in My Workflow
Some clients ask directly whether AI tools are involved in producing their final deliverables, a question I answer honestly rather than deflecting. I explain specifically what the tool does, a first-pass cull and base correction, and what it doesn't do, any of the actual creative and quality judgment that determines the final images they receive. Most clients, once they understand the specific, limited role the tool plays, aren't concerned by the answer.
I've found that vague or evasive answers to this question tend to create more suspicion than a clear, specific explanation does, since clients can tell the difference between genuine transparency and a photographer trying to avoid the topic. Being upfront about exactly where and how these tools fit into the process has, if anything, built more trust than it's cost.
How This Has Changed What I Look for When Hiring Human Help
Bringing an AI-assisted first pass into my workflow has also changed what I look for when I do bring on human help, an assistant, an occasional second editor for a particularly large project. I no longer need someone who can match my raw editing speed on the repetitive first pass, since the tool now covers that. What I look for instead is someone who can support the more judgment-heavy second pass, which requires a different, higher-level skill set than pure editing throughput.
This shift has actually made it easier to find useful human collaborators, since the pool of people capable of contributing meaningfully to nuanced, judgment-driven editing is different, and in some ways more interesting to work with, than the pool of people who were previously valued mainly for raw editing speed on repetitive tasks.
Where I Draw the Line on Trusting Automated Output
Despite the genuine value this tool provides, I never deliver a first-pass output directly to a client without my own review and refinement layered on top, regardless of how strong a specific batch's automated output looks on first glance. That line is firm and non-negotiable, since the tool's occasional misses, a subtle exposure choice that doesn't quite match my eye, a cull decision I'd have made differently, are exactly the kind of gaps that erode trust if a client ever noticed them in a final delivery.
Maintaining this discipline, treating every automated first pass as a draft rather than a finished product, is what's allowed me to adopt the efficiency benefits of the tool without ever compromising the actual quality bar clients have come to expect from the studio.
What Surprised Me Most About Adopting This Tool
The biggest surprise wasn't the time savings, which I'd expected going in, it was how much clearer my own editing preferences became once I had to articulate them explicitly enough for a tool to apply consistently. I'd developed a lot of genuinely good editing instinct over the years that had never been written down or fully examined, and the calibration process forced a level of self-examination I hadn't anticipated needing.
That unexpected benefit has made me a more deliberate editor even in the parts of the process the tool doesn't touch, since understanding my own preferences explicitly, rather than just applying them intuitively, has made it easier to notice when I'm making an inconsistent choice or drifting from what actually represents my strongest, most considered editing judgment.
What I'd Say to a Photographer Worried About Being Replaced
Some photographers approach this topic with real anxiety about being replaced entirely, and I understand where that comes from, but my own direct experience with these tools suggests a different, more specific reality. The tool has replaced a narrow, repetitive slice of the work, not the judgment, taste, and creative decision-making that clients are actually paying for. That distinction matters enormously for how worried a working photographer should genuinely be.
I'd encourage anyone anxious about this shift to actually test a tool honestly against their own workflow rather than reacting to the general idea of AI in the abstract, since the specific, bounded reality of what these tools currently do well is usually less threatening, and more useful, than the broader fear suggests.
Why I Keep Reassessing Rather Than Settling on a Final Opinion
My view on these tools today isn't fixed, and I try to stay genuinely open to it shifting again as the technology continues to develop. Settling on a final, unchangeable opinion this early would mean either missing real future improvements worth adopting, or overcorrecting toward tools that haven't yet earned that level of trust in my actual workflow.
Staying genuinely curious rather than fixed in my opinion has served me well across every part of this business, not just this specific technology, and I don't expect that to change anytime soon.
The photographers who adapt best to shifts like this tend to be the ones who evaluate tools on their actual merits repeatedly, rather than forming a strong opinion once, early, and then defending it indefinitely regardless of how the underlying technology continues to evolve.
That's ultimately the mindset I try to bring to every new tool that shows up in this industry, genuine evaluation over reflexive enthusiasm or reflexive dismissal, and it's served this business well through more than one significant shift in how the work actually gets done.
The tools will keep changing, probably faster than most of us expect. The discipline of evaluating them honestly, rather than reacting emotionally in either direction, is the part worth holding onto regardless of what comes next.
That's the real skill this whole shift has demanded of me, not adopting any specific tool, but staying genuinely level-headed while the ground keeps moving underneath the entire profession.
It's served me well so far, and I expect it will keep serving me well through whatever comes next.
Whatever tool arrives next, I plan to greet it with the same honest, curious evaluation rather than either camp's reflexive reaction.
It's a simple discipline, but one that's genuinely earned its keep across every technology shift I've navigated in this business so far.
Reflection Questions
- Where in your own editing process is the most repetitive, least creatively demanding work happening?
- Have you evaluated AI editing tools honestly, based on what they're actually good at, rather than as a full replacement for your judgment?
- Does your pricing reflect the mechanical labor of editing or the judgment and creative decisions behind it?
- What would you do with the time saved if the least interesting third of your editing process got meaningfully faster?
If you're rethinking your own post-production workflow, the Adventure Photographer's Playbook covers how I've restructured editing around a mix of AI-assisted tools and my own hands-on judgment.
Dalton Johnson is a professional adventure and editorial photographer with over a decade of experience creating images on all seven continents. His client work includes Patagonia, GoPro, Arc'teryx, Four Seasons, Nike, Rivian, Big Agnes, Ford Bronco, and 160+ other brands. He runs Dalton Johnson Media as a full-service studio, from pre-production through post and distribution.