Film Photography Comeback: Fad or Future?

Sales are up 127% since 2020. A new generation is choosing 36 frames over 36 megapixels, but with film prices rising sharply and AI reshaping everything around it, is film photography here to stay, or is this just nostalgia with a time limit?

I'm not a film photographer. My entire experience with film amounts to a cartridge of 24 exposures as a kid, handed over at Boots and collected an hour later, hoping two of them were worth keeping. I've never used a darkroom, never bulk loaded a canister, and I've only ever really known digital.

As someone who prints their images though, and has written a book and produced a course on the subject, I'm no stranger to hearing "but isn't printing expensive?" , so to discover that a growing number of photographers are actively choosing a medium where every single frame costs real money before you've even seen the result, that's not just interesting to me, it's genuinely intriguing.

The data behind it is hard to ignore, and as someone who spends a lot of time thinking about where photography is heading, I think it's worth talking about regardless of whether you shoot film or not.

Film photography was supposed to be dead. For most of the 2000s and 2010s, that narrative seemed pretty airtight, with labs closing, film stocks being discontinued, and manufacturers retreating. Yet here we are in 2026, and something remarkable is happening. Wholesale film order volumes have increased 127% since 2020, with annual growth rates not slowing but accelerating. In 2025 alone, 312 new film labs opened globally. The question isn't whether film is making a comeback, it clearly is. The real question is: why? More interestingly, is this genuinely different from the nostalgia blip we've seen before?

The Numbers Don't Lie

Let's start with the data, because the scale of this is worth appreciating. The global photographic film market is estimated at USD 613 million in 2026, projected to reach USD 724 million by 2035. Over 25 million rolls of film are consumed annually, with film usage up 35% since 2021. More than 2.5 million film cameras were sold globally in 2024, up from around 1.8 million in 2020.

This isn't a niche blip. It's a sustained, multi-year market trend with real commercial momentum behind it.

So Who's Actually Buying Film?

But here's where it gets interesting … it's not the photographers who grew up with it.

Nearly 48% of film camera purchases are now made by people aged 18 to 34, a demographic that largely grew up in the digital era. Gen Z spends an average of 9 hours a day on screens, and many appear to be consciously pushing back against that.

The appeal is partly cultural. We're seeing the same pattern play out across multiple creative disciplines: vinyl records replacing playlists, book clubs filling up, vintage clothing surging. January 2026 was even dubbed "Janalogue" by some lifestyle commentators, an analogue digital detox for the new year.

It's more than trend-following, though. There's a genuine psychological draw to the medium. With only 36 frames per roll and a real cost attached to every shutter click, film forces intentionality in a way that digital simply doesn't. You've no option to machine-gun your way through a scene and pick the best shot in Lightroom afterwards. You slow down. You observe. You choose.

As wildlife photographer Paul Williams put it: "Analogue is going to explode. It's imperfect, and it has soul. That's why it resonates."

The AI Factor: This Time It Really Is Different

Every previous wave of analogue interest has been nostalgic: photographers who grew up with film returning to it for old time's sake. What's happening in 2026 feels structurally different, and the AI boom is a big reason why.

As AI-generated imagery floods every corner of the internet, flawlessly composed, mathematically perfect, technically faultless, there's a growing hunger for photographs that are demonstrably, visibly made by a human being. Film grain, light leaks, slightly off exposures, the warmth of silver halide: these aren't flaws anymore. They're proof.

Survey data from AI editing company Aftershoot found that photographers and clients are increasingly favouring images with raw emotion and imperfection over technically perfect shots. The irony isn't lost that an AI company is reporting this, but it reinforces the point. Even the tools built on AI can see the cultural correction happening.

In short: the more digital becomes automated and "perfect," the more value attaches to the authentically imperfect.

The Cost Problem: Film's Inconvenient Truth

It would be dishonest to write about the film revival without addressing the elephant in the room … it's expensive, and getting more so.

A roll of professional colour negative film now runs approximately £12 to £18 before you've taken a single shot. Add lab development and scanning, and you're looking at £28 to £35 to see 36 images on a screen. At around 40 to 80p per photograph, casual shooting adds up fast.

2026 has brought more bad news on pricing too. Kodak Alaris announced increases of £1 to £3 per roll effective February 2026. Both Kodak and Fujifilm have flagged further increases across some stocks, with some emulsions seeing 20 to 50% rises compared to 2025. Medium format shooters have been hit hardest, with Kodak 120 format stocks seeing price hikes of 14 to 19%.

The silver shortage driving these rises isn't going away, and this is creating a real tension at the heart of the revival: a medium that's growing in popularity is simultaneously becoming less accessible to the very people most interested in it.

Fad or Here to Stay?

The vintage camera market, including collectible film equipment, is projected to grow from USD 1.19 billion in 2025 to USD 1.68 billion by 2031. That's a trajectory backed by institutional investment, not just Instagram aesthetics.

The strongest argument that this is different from previous analogue revivals: it's being driven by people who have no nostalgia for film. Gen Z photographers never shot on film in their formative years. They're choosing it as a deliberate creative act, not a sentimental return. That's a fundamentally different kind of demand.

The strongest argument for scepticism: cost. At £12 to £18 per roll before processing, film photography is becoming a luxury hobby. If price increases continue at current rates, it risks pricing out exactly the demographic driving its growth.

The answer is probably somewhere in the middle. Film won't displace digital, it never will, but it has carved out a permanent, growing niche as the antidote to digital perfection: slower, more intentional, more human. In an era when AI can generate a technically perfect image in seconds, there's real and lasting value in a photograph that carries the fingerprints of its maker.

Over to You

I'm genuinely curious on this one, partly because it's not my world. Have you shot film recently, or are you thinking about giving it a go? Do you think the slower, more deliberate nature of film has had any influence on how you approach your digital work? With prices rising the way they are, at what point does it become too expensive to justify?

Drop your thoughts in the comments below, I'd love to hear from people who actually have the film experience I don't.

Concert Photography: What You Need to Know Before You Shoot Your First Gig

Concert photography is one of the most challenging and rewarding genres you can get into. Fast light, loud rooms, no second chances. But if you're willing to put in the work, it's also one of the most exciting. This guide, put together by community member Scott Diussa, covers the essentials to get you started.

Gear

You don't need a massive kit to begin. A DSLR or mirrorless body with a decent zoom will get you a long way. A 24-70mm or 24-105mm is your workhorse. Add a 70-200mm when you need reach (drummers, especially), and a wide option for tight spaces or dramatic environmental shots. In terms of aperture, f/2.8 or f/4 as a maximum gives you the best chance in low light, but don't let gear anxiety hold you back. Start with what you have.

Camera Settings

Stage lighting shifts constantly, and if you leave the camera in any kind of auto exposure mode it'll fight the light show rather than work with it. Manual mode is the way to go. Shoot RAW, always. The colour temperature at a gig is rarely flattering by default, and RAW gives you the latitude to fix it properly in post.

A solid starting point: 1/500s shutter speed, widest aperture available, and push the ISO until the exposure looks right. Don't underexpose to keep ISO low. Lifting shadows in Lightroom also lifts noise, and it's far messier than noise from a correctly exposed high-ISO file.

Getting Access

The most common question people ask is how to get into shows with a camera. The answer is straightforward: start small. Local venues, local bands. In most cases you don't need formal permission to photograph a smaller act, and small venues are actually harder to shoot than big ones. Bad light, cramped spaces, limited movement. Master those conditions and the bigger shows feel straightforward by comparison.

For larger shows you'll need a media pass, which means having a publication or media outlet to shoot for. That's a longer game, built on portfolio and relationships. Get the shots right at the small shows first and those conversations open up naturally.

Shooting Each Instrument

Every member of the band presents a different challenge. With singers, timing is everything. The best moments tend to come when they step back slightly from the microphone on a held note, which also naturally avoids the microphone shadow falling across their face. If you can learn the setlist beforehand, do it.

For guitar and bass, try not to cut off the headstock of the instrument. Think of it like cropping a wrist out of a portrait. Angles help a lot here. A lower shooting position or a slight tilt adds energy to what would otherwise be a flat frame.

Drummers are the hardest subject in the genre, full stop. You're usually shooting through cymbals, hardware, and kit stands. A 70-200mm helps you reach through the gaps. Use Eye Detection AF if your camera has it, shoot continuously, and keep that 1/500s shutter speed to freeze stick movement.

Editing and Sharing

You'll come back from a gig with a lot of files. Cull before you edit; go through everything and mark your picks before you touch a single slider. Be ruthless. The instinct is always to keep too many.

In post, focus on two things: face colour and exposure balance. Export full-resolution files for your archive, and 2000px watermarked versions for social.

When you share with the band or a PR contact, send your best 20 images. Not everything you shot. Twenty strong images that make the band look great. Tag the artist when you share on social media too; it builds the relationship and extends the reach of your work at the same time.

Enjoyed this? The full version of Scott's concert photography guide is available inside The Photography Creative Circle on Skool, where community members share knowledge, tips, and guides like this one across every area of photography. It's free to join.

Join The Photography Creative Circle

Getting Started with Street Photography: What You Actually Need to Know

Street photography is one of the most rewarding types of photography you can do, and also one of the most misunderstood. A lot of people assume it requires a big city, a specific camera, or nerves of steel. It doesn't. It mostly requires the right mindset, and that's something you can develop from day one.

Here are the key things that will make a real difference when you head out.

Get your head right first

Before you even think about camera settings, think about how you're going to carry yourself. You have every right to be in a public space with a camera. Move at a normal pace, act like you belong, and don't hover. Most awkward moments in street photography come from how you behave before and after the shot, not from pressing the shutter.

If someone questions you, have a simple honest answer ready. "I loved the contrast of colours," or "I'm working on a project about everyday life" goes a long way. Some photographers carry a small business card. It can turn a wary stranger into a willing subject.

Three ways to work the street

There are really three approaches, and knowing which one you're using keeps you focused:

Hunting means walking and actively looking for moments. Keep your head up and your eyes moving. Start small; a funny sign or someone's reaction to something is often more interesting than a dramatic scene.

Fishing means finding a spot with great light or an interesting background and waiting for life to walk into it. Strong shadows, reflections, colourful walls. Set yourself up and be patient. It's also brilliant if you're shy, because you're not chasing anyone.

Street portraits are a different thing entirely. You approach someone, have a brief chat, then ask. Keep the conversation going while you shoot. People are usually more than happy to help if they can see you're genuinely trying to make a good image.

Light and composition

Find the light before you find the subject. Shafts of sunlight, deep shadows, silhouettes; light shapes everything. Once you've found good light, think about the whole frame: what's in the background, what's at the edges, what's pulling the eye away from where you want it to go.

One tip worth remembering: give yourself a theme for the day. Hats. Dogs. Reflections. The colour red. It sharpens your eye dramatically.

Gear and settings

Any camera works, including your phone. What matters is being ready. Most experienced street photographers use aperture priority or manual with auto ISO so they're not constantly adjusting. A starting point that works well: 1/500s shutter speed, f/5.6 to f/8, auto ISO. Push the shutter to 1/1000s if there's faster movement. Don't be afraid of grain; it often suits street photography well.

Keep your camera out and ready, not buried in a bag. By the time you've got it out, the moment's gone. A silent shutter, if your camera has one, makes a big difference too.

You don't need a big city

This one catches a lot of people out. Street photography isn't only for London or New York. Market squares, bus stops, seafronts, quiet high streets; interesting moments happen everywhere. If you're nervous about photographing faces, start with people from behind, silhouettes, or detail shots: hands, shadows, dogs, bags. You're still telling a story.

The best thing you can do is head out and start. Everything else comes with time.

This post is drawn from The Community Guide to Street Photography, a full beginner's resource put together by members of The Photography Creative Circle on Skool. It covers everything in much more depth, including camera setups, focusing techniques, how to handle conversations on the street, and practical exercises to push your skills forward.

If you want to read the full guide and be part of the conversations that created it, come and join us over at the community …

Join The FREE Photography Creative Circle

A Community Guide to Bird Photography

Bird photography is one of those genres that quietly takes over. It's challenging, unpredictable, sometimes maddening – and completely addictive when it all comes together. You need patience, good fieldcraft, solid camera technique and the ability to make quick decisions, all at the same time.

This post pulls together some of the core ideas from a full guide I've put together for members of my Photography Community on Skool.

Think of this as a taster of what's waiting in the classroom ( LINK )

It's Not About the Gear (Not Really)

One of the strongest themes that comes up again and again is simple: bird photography is less about kit and more about understanding birds. Long lenses help, of course, but timing, fieldcraft, and awareness are what actually make the photograph.

Work with the gear you already have and learn to use it well. Focus on reading behaviour, light, and opportunities rather than chasing the "perfect" setup. And be realistic about what you can comfortably carry for a full outing – staying fresh and present matters more than hauling the biggest lens available.

Your Behaviour Matters More Than You Think

How you move and behave around birds will make or break your images. Rush in, move suddenly, or push too close and the bird will tell you it's uncomfortable long before it flies. Stay calm, move slowly, and respect its space and everything changes.

Learn to recognise a bird's comfort zone and stay on the right side of it. Sit and watch first – you'll start to see patterns in perches, feeding routines, and pre-flight behaviour. Patience isn't passive; it's an active technique that gives you better light, cleaner backgrounds, and more meaningful moments.

Start Close to Home

You don't need an exotic destination to make strong bird photographs. Your garden, local park, or the green space at the end of the road are perfect training grounds.

Regular access to familiar birds beats occasional trips to impressive locations. Repetition sharpens your reactions, improves camera handling, and helps you truly learn both the species and the location. Familiar spots let you predict where birds will appear, how the light falls, and when something is likely to happen – and that groundwork pays off when you do travel further afield.

The One Setting to Protect First

If there's a single technical priority in bird photography, it's shutter speed. Birds rarely stay still, long lenses magnify every movement, and softness from motion blur can't be rescued later.

A simple working approach: aim for around 1/1600 sec as a starting point, higher for small, fast birds or birds in flight. Let ISO rise to protect that shutter speed rather than sacrificing sharpness, and use your widest useful aperture to support both speed and subject separation from the background.

Autofocus, Flight, and the Hard Stuff

Birds in flight can feel like a different discipline altogether – and in many ways, they are. Fast shutter speeds, accurate tracking, and clean framing all need to come together in fractions of a second.

Use continuous AF and subject tracking, and take the time to learn how your specific system actually behaves. Start with larger, slower, more predictable birds to build confidence before tackling the fast, erratic ones. And use burst mode thoughtfully – fire it when something is actually happening, rather than spraying at everything that moves.

Light, Background, and Story

Good bird photographs aren't just about the bird – they're about light, background, and what's actually happening in the frame.

Early and late light give softer contrast, warmer tones, and better feather detail, often when birds are most active too. Your shooting position has a huge impact on how connected the final image feels – getting down to eye level with the bird changes everything. And clean, sympathetic backgrounds combined with considered use of habitat can turn a simple record shot into a photograph with real story and mood.

Where to Begin: A Simple Starting Plan

If you're getting serious about bird photography, here's a straightforward framework to work from:

Start in your garden or local park and visit often. Spend time watching before you shoot – look for perches, patterns, and pre-flight behaviour. Work with the gear you already own, using as much focal length as is comfortable. Keep shutter speed high, let ISO do its job, and begin at a wide aperture. Use continuous AF and subject tracking if your camera supports it. Pay attention to the bird's comfort, the quality of light, your background, and your shooting angle. And wait for behaviour and gesture – not just a "bird on a stick" confirmation shot.

Want the Full Guide?

This post just scratches the surface of what's inside A Community Guide to Bird Photography, which lives in the classroom inside my Photography Community on Skool.

In there you'll find the complete written guide laid out step by step, diagrams and example images with breakdowns from real shoots, and practical starting setups, checklists, and exercises you can take straight into the field.

If you'd like to dive deeper and join a group of photographers actively working on this together, come and join us.

Why Photography in 2026 Feels Less Perfect and More Human

Something really encouraging is happening in photography right now, and if you have been feeling quietly frustrated with the pressure to make everything look flawless, I think you are going to love it.

Industry reports from Aftershoot, Stills, and other creative sources are all pointing in the same direction: audiences are turning away from over-polished, over-processed imagery and responding much more warmly to photographs that feel honest, immediate, and genuinely human. After years of chasing technical perfection, it seems the tide is finally turning, and I find that genuinely exciting.

Why the shift is happening now

It makes a lot of sense when you think about it. We are living in a visual landscape absolutely saturated with AI-generated content, heavily filtered social media imagery, and endlessly refined visuals.

In that context, a photograph that carries real emotion, a little texture, or a fleeting spontaneous moment stands out precisely because it feels true. Audiences can sense the difference, even if they cannot always articulate it.

What "more human" actually looks like

What the trend reports describe as "more human" photography comes down to a handful of connected ideas: natural expressions rather than rigid poses, visible texture rather than smoothed-out skin, and editing choices that preserve the character of the original moment rather than ironing everything into a generic finish.

In practice that might mean embracing grain, direct flash, looser framing, or a more documentary approach to light and movement. None of that requires you to abandon your craft; it just asks you to use it in service of feeling rather than control.

Your personality is the point

The most encouraging thing I take from all of this is that technical quality still matters, it just is not the whole story anymore. The photographers who are really connecting with people right now are the ones combining solid skills with a genuine point of view and a willingness to let a little life into the frame.

That is something worth celebrating, because it means your personality and your way of seeing the world are actually an asset, not something to sand away in post.

The bigger picture

There is also a broader context worth keeping in mind. Adobe's recent updates to Photoshop and Express are a good reminder that automated, AI-assisted production is only going to become more common across the creative industry. That is not something to fear; it is actually an opportunity. The more synthetic visual content floods our screens, the more a real photograph, one made with intention and feeling, can cut through simply by being authentic.

The question worth asking yourself

So the question worth sitting with as you work in 2026 is not whether your images are perfect. It is whether they are meaningful. Can the photograph still do its job if it keeps a bit of roughness, a bit of risk, or a bit of life? According to everything being written about where the industry is heading, that roughness might be exactly what makes it memorable.

That feels like a genuinely good moment for photography, and for the people who make it.

AI and Photography: It's Not the End of the World

There is a conversation happening in photography right now, and chances are you’ve heard it. Whether it is in comment sections, Facebook groups, or at events, the same question keeps coming up: is AI going to kill photography?

I get it. When generative AI started producing photorealistic images from a text prompt, the alarm bells rang, and not entirely without reason. If a computer can conjure a dramatic seascape or a perfectly lit portrait from a few typed words, where does that leave those of us who actually pick up a camera?

So here’s what I believe: I don’t think it’s the threat people fear it is. Of course for some areas of Professional / Paid Photography but certainly not for enthusiasts; not for anyone who shoots because they genuinely love it.

We’ve Been Here Before

Photography has always had to adapt. Digital replaced film, and people said it would ruin photography. Smartphones put a camera in everyone's pocket, and people said that would ruin it too. It didn’t. If anything, more people are shooting now than ever before. Accoridng to CIPA shipment data with 2025 market reports, the hobbyist camera market made up well over two thirds of all digital camera sales, and the number of photography workshops and online courses has grown by more than 30 percent in recent years. People are not falling out of love with photography. They are falling deeper into it.

AI is the latest chapter in that same story. It’s a new tool arriving in an industry that has always evolved alongside new tools.

What AI Actually Is, and Is Not

Here’s the thing that often gets lost in the noise. AI, in the context of most photographers' day-to-day lives, is not generating fake images to replace yours; it’s quietly working inside the software you are already using.

Take Lightroom and Photoshop. Both are packed with AI-powered features now. Masking that would have taken me the best part of an hour a few years ago takes seconds. Removing a distracting element from the background of a portrait, reducing noise in a high ISO shot, selecting a subject with precision. These are the kinds of tasks that used to eat into your editing time without giving anything creative back. They were just tedious.

That is where I have found AI genuinely useful. Not as something that replaces my decisions, but as something that handles the mechanical stuff so I can focus on what I actually enjoy, developing the image, getting the look I had in my head when I pressed the shutter, making it feel the way I want it to feel. The creative part is still mine. AI just means I am not spending forty minutes (and more) doing fiddly selections to get there.

Yes, There Will Be Casualties

It would be dishonest to say AI has no impact on photography as a profession, because it does. Certain areas are already feeling it. Product photography is one. Generic stock imagery is another, and headshot photography is shifting too, with a growing number of AI applications now capable of producing professional-looking results at a fraction of the cost of hiring a photographer.

Will some people choose those options? Of course. But then, every industry has customers who will always gravitate towards the cheapest available option. Photography is not immune to that, and it never has been. There have always been clients who want results without paying for expertise. AI simply gives that segment of the market a new way to do what they were always going to do.

The clients worth having though, tend to think differently. They understand the difference between a generated image and a photograph made by someone who knows what they are doing. They value the professionalism, the experience of working with a skilled photographer, and ultimately an image that could not have come from a prompt box. That market is not shrinking. If anything, as AI imagery becomes more widespread, it is becoming more discerning.

The Authenticity Factor

There is something interesting happening on the other side of the AI conversation. As AI-generated imagery has flooded the internet, audiences have started to crave the opposite. The photography trends emerging in 2026 are centred around authenticity, real moments, real imperfections, real emotion. The slightly overcooked, hyperpolished aesthetic is losing its appeal. People want to see images that feel genuinely human.

That is actually great news for photographers, because the one thing AI cannot do, no matter how sophisticated it becomes, is be there. It cannot stand on a cold beach at six in the morning, read the light, time the wave, feel the composition before it happens. It cannot build a relationship with a portrait subject and find the moment where they forget the camera is there. It can produce images that look impressive on a screen, but impressive and meaningful are not the same thing.

Photography Is Not Just About the End Product

This is the point that gets missed entirely in the AI debate. When people talk about whether AI can replace photography, they tend to focus on the output. Can it produce a decent image? In some cases, yes. But photography has never really been just about the image at the end of it.

It is about being out in the world with a camera. It is the discipline of learning your craft, understanding light, making decisions in the moment. It is the feeling of nailing a shot you had been visualising for weeks. It is the connection you build with a subject during a portrait session. It is standing somewhere beautiful and choosing how to see it.

No AI can replicate that experience. And for the vast majority of photographers, enthusiast or professional, that experience is the whole point.

So Where Does That Leave You?

If you shoot because you enjoy it, AI changes very little about that. It might make some parts of the process quicker and easier, and used well, that is no bad thing. But it is not going to make the experience of making a photograph redundant.

Yes, the industry will keep changing. Some corners of it will shrink. But photography itself, the act of it, the craft of it, the joy of it, is not going anywhere. Do not be scared of AI; just don’t hand it the wheel either.

Photography is not dying. If anything, the conversation AI has started might just remind people why real photographs matter.

STOP using 10 Apps to Plan your Photography! (Do this instead)

The Problem with "Too Much" Information

We have an incredible amount of data at our fingertips these days. If you are planning a landscape or seascape trip, there are hundreds, maybe thousands of apps available. Honestly, that is part of the issue for me. There is just too much choice, and every day there seems to be a new app hitting the store. I never quite know which one to use for what.

While I still use a dedicated app to check the position of the sun, I have moved everything else over to AI.

How I Use AI as a Location Scout

It doesn't really matter which platform you prefer. I use Google Gemini, but you can do the exact same thing with ChatGPT, Claude, or Perplexity. The goal is to move away from checking ten different websites and instead have one single place that "scouts" the location for you.

I have set up something called a "Gem" in Gemini (or a Custom GPT if you use ChatGPT). I call it my Seascape Photography Planner. All I have to do is tell it where I am going and when, and it does the rest.

For example, if I tell it I am heading to Godrevy Lighthouse this coming Saturday, within seconds it populates the screen with:

• Weather conditions: Temperature, precipitation, and wind speeds.

• Lighting: Sunrise, sunset, and golden hour times.

• The Ocean: Tide times and tide heights.

• Logistics: Where to park, how to pay (cash or app), and where to find food or fuel nearby.

• Safety: The nearest hospital and contact details for the police.

• Drone Info: Nearest airfield and air traffic control contacts, just in case a drone goes rogue.

Setting It Up Yourself

The process is incredibly simple. You start by asking the AI to find this information for a specific trip. I often use a dictation app called Whisper to just speak my request into the text box.

Once the AI gives you a great result, you ask it one simple question: "Can you now create a system prompt from this so that the next time you can give me all of this information, but all I need to tell you is where I'm going and when?"

The AI will then write a "formula" for itself. It might say something like, "You are an expert photography location scout. Your goal is to provide a comprehensive, data-driven briefing."

You simply copy that text, go into your settings to create a new "Gem" or "Custom GPT," and paste those instructions in. Give it a name, save it, and you are done.

The Real-World Benefit

The best part about this is that it syncs to your phone. On the morning of a shoot, I can quickly check the latest updates while I'm having my coffee. I have even added "road conditions" to my prompt lately so I know if there are any last-minute diversions or roadblocks before I set off.

It is a massive time-saver. Instead of bouncing between weather apps, tide tables, and Google Maps, I get a tailored briefing in one go. It has definitely increased my success rate, but more than that, it has made the whole experience of being out in the field much more relaxed.

Content Credentials: The Future of Proving Your Photos Are Real ✅

In a world where AI can generate a photorealistic image in seconds, how do you prove that your photograph is actually real? That it was captured by a real camera, in a real place, by a real photographer?

That is exactly the problem Content Credentials are designed to solve, and in 2026 this technology is finally moving from niche experiment to something every working photographer needs to understand.

What Are Content Credentials?

Think of Content Credentials as a kind of nutrition label for your photographs. Just as a food label tells you what is inside the packet, Content Credentials can tell viewers key facts about an image: who created it, which camera or software was used, what kind of edits were made, and, crucially, whether AI tools were involved at any stage.

Under the hood, Content Credentials are powered by an open technical standard called C2PA, which stands for Coalition for Content Provenance and Authenticity. C2PA is a cross-industry specification backed by companies and organisations including Adobe, Microsoft, Google, Sony, Nikon, Canon, Leica, Fujifilm, the BBC, the Associated Press and many others.

The key point is that Content Credentials do not judge whether a photo is "good" or "bad". They provide a tamper-evident record of provenance, meaning a factual history of where an image came from and how it was made, so that editors, clients and audiences can make their own decisions about whether to trust what they are seeing.

How Do Content Credentials Actually Work?

At a technical level, C2PA uses cryptographic hashes and digital signatures, the same kind of technology that protects online banking, to bind provenance information to media files. In practice, the chain looks like this:

1. Capture. On supported cameras, a C2PA manifest is signed at the moment of capture, recording the device identity and, where enabled, when and where the image was created.

2. Edit. When the photo is opened in C2PA-enabled software such as Photoshop or Lightroom, the software can log key edits, including the use of generative AI tools, into an updated manifest.

3. Export and publish. On export, the photographer chooses what information to include. The Content Credentials can be embedded in the file itself, published to a cloud service, or both.

4. Verify. Anyone can later inspect the credentials using tools such as the Content Authenticity Initiative's Inspect site at contentcredentials.org/verify, browser extensions, or compatible apps and services.

If someone tampers with the pixels or tries to alter the signed provenance after the fact, the cryptographic checks break. The result is that the credentials are tamper-evident: you cannot quietly change the file or its signed history without that being detectable.

Which Cameras Support Content Credentials in 2026?

Camera support has accelerated over the last two years. A useful snapshot comes from the community-maintained c2pa.camera site, which tracks devices that can sign images using the C2PA standard.

As of early 2026, supported cameras include:

One particularly important entry is the Google Pixel 10. Thanks to its Tensor G5 and Titan M2 security chips and built-in C2PA support in the Google Camera app, it is currently the least expensive way to capture C2PA-signed images. That matters because not every working photographer or journalist will be carrying a flagship mirrorless body at the moment something newsworthy happens.

On the mirrorless side, Fujifilm has committed to rolling Content Authenticity support out across its X and GFX cameras, starting with models like the X-T50 and GFX100S II, with further firmware support planned but not yet fully detailed.

Content Credentials in Lightroom and Photoshop

The good news is you do not need a C2PA-enabled camera to start using Content Credentials. Adobe has built support directly into Lightroom Classic, Lightroom Desktop and Photoshop, using C2PA under the hood.

Lightroom Classic

In Lightroom Classic, Content Credentials are applied at export time.

Open the Export dialogue and scroll to the Content Credentials section, then enable Apply Content Credentials. You will need to choose how the credentials are stored: you can publish to Content Credentials Cloud, attach them to files by embedding them in the JPEG, or do both at once, which is the recommended option for most photographers. You can also decide what information to include, such as your name from your Adobe account, any connected social accounts, and a log of the editing steps recorded by Lightroom.

A few practical limitations are worth knowing about in 2026. Lightroom Classic only applies Content Credentials on JPEG export, not on TIFF, PSD or RAW files. An active internet connection is also required for the feature to work, even if you are simply attaching credentials to files rather than publishing to the cloud.

Lightroom Classic

Content Credentials are set in the Preferences and Export section …

Photoshop

Photoshop takes a slightly different approach because it can record provenance while you edit. Go to Settings or Preferences, then History and Content Credentials, and enable Content Credentials for saved documents. For each document you can turn credentials on or off individually, so not every file has to be recorded. When you export, Photoshop can embed a detailed edit history into the Content Credentials, including the use of Generative Fill, Generative Expand and other AI-powered tools.

The system records a summarised, provenance-oriented history rather than every brush stroke, but enough to show that AI tools were used and how the file evolved over time.

Keeping the Chain Intact Between Lightroom and Photoshop

If your workflow moves between Lightroom Classic and Photoshop, it is worth thinking about the provenance chain. A robust approach is to export from Lightroom with Content Credentials turned on, then open that exported file in Photoshop with Content Credentials enabled for the document. Export again from Photoshop with Content Credentials, and if you want the final file back in your Lightroom catalogue, import the Photoshop export so that Lightroom sees the credentialled version.

Is it perfectly seamless? Not yet. But this approach ensures that each major step in your workflow adds to the same signed chain instead of breaking it.

Why Content Credentials Matter in 2026

Several developments make Content Credentials especially relevant right now.

Photo Mechanic and Press Workflows

In February 2026, Camera Bits confirmed that Photo Mechanic is gaining support for the C2PA standard. For decades, Photo Mechanic has been the first stop in press photographers' workflows, used for ingest, culling and metadata. Camera Bits' goal is to preserve C2PA signatures from C2PA-enabled cameras all the way through to publication, so editors can trust that a signed image really traces back to a specific moment and camera.

Camera Bits has been clear that this feature is still in active development with no public release timeline yet, but for photojournalism this is a significant shift.

Competitions and Clubs

The Canadian Association of Photographic Art has adopted a Content Credential model for its competitions to address AI-generated imagery. Their current stance, through at least 2027, is that the model is optional and educational rather than mandatory, but potential winning entries already undergo verification that includes Content Credentials analysis, AI detection and forensic checks. Images that fail those verification steps can be disqualified, which is a strong signal of where competition rules are heading.

Platforms and the Broader Ecosystem

On the platform side, there has been real movement. LinkedIn now displays a CR icon for images carrying Content Credentials, which users can click to see the provenance summary. Google has brought C2PA-based Trusted Images to Android and Pixel, using Content Credentials and SynthID to distinguish originals and AI-generated content. Cloudflare Images and other services now preserve Content Credentials through transformations, so the provenance remains intact when images are resized or optimised for delivery.

The Content Authenticity Initiative itself has grown into a global community of more than 6,000 members by the end of 2025, spanning media, tech, education and government. This is no longer a small experiment.

The Honest Challenges (As of 2026)

That said, Content Credentials are not magic, and the current limitations are worth being transparent about.

Social Platforms Still Strip Metadata

Many social platforms still strip embedded metadata from uploads, which removes embedded C2PA manifests along with traditional EXIF and IPTC data. Tests have shown that platforms like Facebook remove Content Credentials on upload, which is one reason Adobe allows you to publish credentials to a cloud service as well, so you can still verify an image via the cloud record even if the embedded data is lost.

The Chicken-and-Egg Problem

Camera makers want platforms and tools to support provenance before they invest heavily. Platforms want a critical mass of signed content. Newsrooms want both to be stable before they change their workflows. PetaPixel's coverage of the Digimarc C2PA Chrome extension in 2025 summed up the situation bluntly: at that point, basically no photos published online were carrying C2PA metadata. That is slowly improving in 2026, but it remains an adoption loop rather than a solved problem.

The Perception Problem

At CES 2026, several analyses highlighted that many visitors misunderstood the Content Credentials icon, assuming it marked AI-generated content rather than authentic content with a provenance record. Without better public education, there is a real risk that authenticity labels are misread as AI labels, which is the exact opposite of the intended outcome.

Inconsistent Implementations

Some early implementations have also bent the semantics in unhelpful ways. Critics have pointed out that certain smartphone workflows only add C2PA manifests to images that have been processed with AI features, not to ordinary captures. That reverses the intent entirely: the real images are the ones that most need a verifiable credential.

Privacy and Identity

Finally, there is the privacy angle. C2PA and Adobe both make identity assertions optional and opt-in, so you choose whether to embed your name, social accounts or edit history. That flexibility is valuable, but it also means you should think carefully about what you are comfortable attaching to every exported file. For some photographers, including personal account details on every share will feel like a useful feature; for others, it may feel like over-exposure.

Should You Start Using Content Credentials?

For most photographers who share work online, the pragmatic answer in 2026 is yes, it is worth turning on now, even with the current rough edges.

There is no extra cost, as Content Credentials in Lightroom and Photoshop are included in your existing Adobe subscription and do not consume generative credits. They are non-destructive, meaning enabling them does not alter your image content or require a different editing approach. It simply adds metadata, and optionally a cloud record, at export.

Starting now also means you build good habits early. As more contests, clients and platforms start expecting provenance, having a back catalogue of signed images will be an advantage rather than something you are scrambling to retrofit. Organisations like the Canadian Association of Photographic Art explicitly highlight that embedded creator information and timestamps help strengthen copyright and attribution claims as part of a wider evidence chain. And the export settings give you control over privacy, so you can choose to share just a minimal provenance chain or a more detailed record including identity and edit history.

For photojournalists and press photographers, this is already moving from a nice-to-have to something expected. For commercial and fine-art photographers, it is a professional differentiator that signals authenticity and transparency at a time when clients are increasingly wary of AI fakery.

How to Check if an Image Has Content Credentials

If you want to verify an image, whether your own or someone else's, there are several options available. You can upload a file at contentcredentials.org/verify to see its provenance, including capture and edit history where available.

Adobe and its partners also provide browser extensions that detect and surface Content Credentials as you browse the web. On LinkedIn, look for the CR icon on images; clicking it shows the stored provenance for that image. Nikon users, editors and agencies can use the Nikon Authenticity Service to validate C2PA-signed images from supported cameras. And Leica's FOTOS app can read and display authenticity information for images from the M11-P, SL3-S and related cameras.

Where This Is Heading

The direction of travel is clear. The C2PA Conformance Programme and the CAI's growing membership are pushing the ecosystem towards more consistent implementations across cameras, software and platforms. Open-source tooling is making it easier for smaller developers to add support. And regulatory and industry pressure around AI transparency, especially in news and political advertising, is giving content authenticity a real tailwind.

As Camera Bits put it when discussing Photo Mechanic's planned support, the goal is not to replace trust in photographers, but to provide an additional layer of confidence in an environment where synthetic media is increasingly common.

For working photographers, the message in 2026 is straightforward. The tools are here, they are free to switch on, and they are only going to become more important. Enabling Content Credentials today is one of the simplest practical steps you can take to protect your work and to prove that it is genuinely yours.

Reality vs Photoshop - Is Faking It Cheating? 🤷‍♂️

Car photography always looks that little bit more dramatic when there's a wet road reflection underneath the vehicle. But what do you do when the road is bone dry? In this guide, I'll walk you through two ways to fake a puddle reflection in Photoshop -- one traditional, one powered by AI -- and then I'll leave you with a question worth thinking about.

Method One: The Manual Approach

Step 1: Select the Car

Start by grabbing the Object Selection tool from the toolbar. In the options bar at the top of the screen, make sure the mode is set to Cloud for the best possible result, then click Select Subject. Photoshop will do a surprisingly good job of selecting the car in just a moment or two.

Step 2: Copy the Car onto Its Own Layer

With your selection active, press Command + J (Mac) or Control + J (Windows) to copy the car up onto a new layer. If you toggle every other layer off, you should see just the isolated car sitting cleanly on a transparent background.

Step 3: Flip It Upside Down

Go to Edit > Transform > Flip Vertical. This flips the car layer to create the basis of your reflection. Now grab the Move tool, hold down Shift (to keep movement perfectly vertical) and drag the flipped car downwards until the tyres of both the original and the reflection are just touching.

If things look slightly off-angle, go to Edit > Free Transform, move your cursor just outside the bounding box until you see the rotation cursor, and give it a gentle nudge until it lines up properly.

Step 4: Add a Black Layer Mask

Rename this layer "Reflection" to keep things tidy. Then, holding down Option (Mac) or Alt (Windows), click the Layer Mask icon at the bottom of the Layers panel. This adds a black mask that hides the layer entirely -- which is exactly what you want for now.

Step 5: Draw the Puddle Shape

Select the Lasso tool and make sure you click directly on the layer mask thumbnail (you should see a white border appear around it, confirming it's active). Now draw a rough, freehand puddle shape beneath the car's tyres -- it doesn't need to be perfect, natural-looking and irregular is actually better here.

Step 6: Fill with White to Reveal the Reflection

Go to Edit > Fill, set the contents to White, and click OK. The reflection will now appear only within the puddle shape you drew.

Step 7: Soften the Edges

Zoom in and you'll notice the puddle edge looks very sharp and unnatural. To fix that, go to Filter > Blur > Gaussian Blur and apply just a small amount -- around 3 pixels is usually enough. This softens the boundary and helps the reflection blend into the ground convincingly.

Finally, you can reduce the opacity of the Reflection layer slightly to make the whole thing look a little more subtle and true to life.

Method Two: Using Adobe Firefly's Generative Fill

If you want a quicker and arguably more realistic result, Photoshop's AI tools can do a remarkable job here.

Step 1: Load the Puddle Selection

Hold Command (Mac) or Control (Windows) and click directly on the layer mask from your first reflection layer. This loads the puddle shape back as an active selection, saving you from having to draw it again.

Step 2: Select the Background Layer

Click on the main image layer, so that Generative Fill works on the background rather than the reflection layer.

Step 3: Run Generative Fill

In the contextual taskbar, click Generative Fill and type a prompt along the lines of: a reflection of car in puddle of water. For the AI model, select Firefly (specifically the Firefly Built and Expand model released in January 2026). If you're on a Creative Cloud Pro account, this won't cost you any credits -- whereas models like Flux or Nano Banana can use anywhere between 20 and 30 credits per generation.

Click Generate.

Step 4: Choose Your Favourite Variation

Firefly will produce three variations for you to compare. Have a look through them and pick the one that looks most convincing. You'll likely notice that the AI does something quite clever: it reflects the sky in the puddle on the far side of the car, just as real water would. Achieving that manually in Photoshop would take considerably more time and effort.

Which Method Should You Use?

For a quick, dirty result, the manual method works well and gives you full control. But for something that genuinely looks like a photograph taken on a wet road, the AI approach is hard to argue with -- particularly because of how naturally it handles the environmental reflections in the water.

A Question Worth Thinking About

Here's something to consider. When photographing that car, there were really two options: bring bottles of water to pour around the car and create a real puddle on the dry road, or add the reflection later in post-production, either manually or with AI.

Both approaches result in a reflection that wasn't originally there. The only difference is when in the process you add it.

So what do you think -- is there a meaningful ethical difference between physically creating something on location and digitally adding it afterwards? When it comes to reflections specifically, does it matter?

Let me know your thoughts in the comments below.

Stormy Sea at Lyme Regis 🌊

I hadn’t intended to head down to the seafront this morning, but with a storm still present I checked the tide times and with high tide in a couple of hours, I couldn’t resist.

WOW! The sea was incredible!

Waves crashing and pounding The Cobb as it stood firm protecting the harbour, the beach not visible as the sea washed over it throwing sea water onto the promenade and waves crashing against the sea wall at Gun Cliff dwarfing the tower two-fold!

Such a Thrill!

All photographs hand-held using …

Fuji X-T5 with 18mm f/1.4
1/125 sec
f/11
ISO 400