Adobe AI Photo Critique: What Changes for Visual Marketing

What's changed: Adobe brings AI critique directly into the shot

On July 20, 2026, Adobe released a significant update for its experimental camera app, Project Indigo . According to reports from TechCrunch , the new feature lets the AI analyze photos taken right inside the app and give you instant, honest feedback. Plus, the system can now remove any kind of background from your pics, not just the plain ones.

This is an evolution compared to the background removal functions already present in Photoshop and Adobe Express. However, the substantial novelty is the context: the AI acts during the image acquisition workflow, not just in post-production. This changes the operational logic for many content teams.

Therefore, we are no longer talking about a simple editing tool. Adobe is redefining the very concept of a professional camera app, integrating real-time quality assessment capabilities.

The AI critique mechanism: how it works in practice

The AI critique feature analyzes several image parameters. In particular, it evaluates composition, exposure, sharpness, and subject consistency with the context. The feedback is provided in text form, with specific and actionable suggestions.

Similarly to what already happens with tools like Adobe Firefly , the model is trained on a bunch of pro-level photos. Because of this, it doesn't just catch technical mistakes—it also checks how well your image gets its message across based on top-notch style standards.

On top of that, background removal now handles tricky scenes like hair, see-through items, and shiny surfaces. This totally beats the limits of older segmentation models. As a result, you can use the final image straight away in your campaigns, with zero extra manual touch-ups needed.

Immediate impact on e-commerce and retail workflows

For e-commerce marketing managers, this feature is a total game-changer. Let's face it, making product photos usually takes a bunch of steps: shooting, picking the best ones, removing the background, tweaking, and getting the green light. Every single phase eats up precious time and resources.

With Project Indigo, at least two of these steps are squashed right when you take the shot. So, teams can seriously speed up how fast they get visual content out the door. Especially for retailers dealing with catalogs packed with hundreds of SKUs, the time and effort saved can be huge.

According to research by McKinsey , content production speed is nowadays a major competitive factor in digital marketing. So, tools that speed up this cycle have a direct impact on business performance.

We at SHM Studio we work daily with retail and B2B clients. Therefore, we watch this evolution with genuine interest, as it directly touches the workflows we manage for our clients.

Opportunities for content creators and social media teams

Beyond just online shopping, the AI critique feature is also super handy for organic content pros. In fact, tons of social media managers and content creators snap pics on the go, often without fancy editing tools.

In this context, getting immediate qualitative feedback — even before publishing — is a real game-changer. Plus, being able to remove backgrounds directly from the app eliminates one of the most annoying steps when making content for platforms like Instagram, LinkedIn, or Pinterest.

For companies investing in LinkedIn campaigns or in organic content strategies, visual quality is a key factor for engagement rates. Consequently, tools that raise the average quality standard — even without advanced photography skills — have a measurable impact on performance metrics.

What to do now: strategic positioning for marketing managers

First off, you should check if Project Indigo is already available for your Adobe account. The feature is still in testing, but Adobe usually rolls out Project features into their main apps pretty quick.

Next, it is worth mapping internal visual production workflows. Specifically, you need to identify bottlenecks in the shoot → editing → publishing chain. These are the exact points where Adobe's AI can generate the biggest operational savings.

Finally, it is advisable to consider how this function integrates with the tools already in use. For example, those who use Adobe Express or Creative Cloud for asset production for google ads campaigns will benefit from a smoother and more consistent pipeline.

Also, it's helpful to train internal teams on using AI feedback correctly. In fact, the risk is blindly relying on automated evaluations, losing the creative and strategic edge of visual design.

Still a work in progress: limits and unresolved issues

Despite this, there are some gray areas that deserve attention. First of all, the quality of the AI critique depends on the training corpus. Therefore, the system might favor conventional aesthetics at the expense of deliberately non-standard visual choices.

Furthermore, it is still not clear how Adobe will handle the analyzed images in terms of privacy and data usage. This is a sensitive topic, especially for companies that produce confidential content or content protected by NDAs. Therefore, before large-scale adoption, it is necessary to check the updated terms of use.

Similarly, automatic background removal — even though it has improved — is not foolproof on tricky surfaces. So, for super important projects, human review is still a must. However, for mass production, the current accuracy level is already good enough for a lot of use cases.

To delve deeper into the ethical and technical implications of AI in visual production, it is useful to consult the analysis by Harvard Business Review on AI and creativity .

Outlook: where AI-assisted visual production is heading

The direction is clear. AI won't replace the photographer or creative director. However, it will increasingly shrink the gap between shooting and publishing. As a result, the skills required of marketing teams will shift from technical know-how to editorial care and visual strategy.

Over the next 12-18 months, we can expect similar features to be rolled out by other industry players as well. In fact, competition in the AI-powered camera app space is already fierce, with giants like Google, Apple, and specialized startups. Therefore, Adobe is keen to lock in its market position before things get too crowded.

For Italian marketing managers, the takeaway is pretty straightforward. Tools like Project Indigo don't mean you need to turn your workflow upside down overnight. Instead, they slot right into what you're already doing and make it a bit smoother step by step. So, the best time to start playing around with it is right now, while it's still in early access.

If you want to understand how to integrate these tools into a structured AI marketing strategy, or how to optimize the production of visual content for SEO copywriting and digital campaigns, the team at SHM Studio is available for a discussion . Furthermore, on our Blog we regularly publish analyses on digital marketing tools and trends. Finally, for those who want to explore the complete offering, the SHM Studio services cover the entire spectrum of digital marketing, from SEO to the web development .