- What's Changed: Adobe Brings AI Criticism Directly Into the Shot
- The AI Criticism Mechanism: How it Works in Practice
- Immediate impact on e-commerce and retail workflow
- Opportunities for content creators and social media teams
- What to do now: strategic positioning for marketing managers
- The chantier still open: limits and unresolved issues
- Perspectives: Where is AI-assisted Visual Production Heading?
Adobe has announced a new AI feature within its camera app, known as Project Indigo. The system can now analyze images taken directly in the app and provide automated critical feedback. Additionally, it removes any kind of background with a single tap. This is a relevant update for those who manage visual content professionally.
Therefore, the impact is not just on photographers. It concerns e-commerce marketing teams, social campaign managers, and anyone who produces visual assets in high volumes. Consequently, the average quality of mobile-generated content could significantly increase, reducing post-production times. Specifically, automatic background removal is a feature that has been requested for years in retail workflows.
We of SHM Studio We are observing this evolution carefully. In fact, the integration of AI tools directly at the moment of shooting—and not just during the editing phase—represents a paradigm shift in how brands manage their visual production. Therefore, those working in digital marketing today have a concrete opportunity to reduce production costs and accelerate content publication cycles.
What's Changed: Adobe Brings AI Criticism Directly Into the Shot
On July 20, 2026, Adobe released a significant update to its experimental camera app, Project Indigo. According to reports by TechCrunch, the new feature allows artificial intelligence to analyze photos taken within the app and provide immediate critical feedback. Additionally, the system is now capable of removing any type of background from images, not just solid ones.
This is an evolution of 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're no longer talking about a simple editing tool. Adobe is redefining the very concept of professional camera apps, integrating real-time qualitative assessment capabilities.
The AI Criticism Mechanism: How it Works in Practice
The AI critique function analyzes various image parameters. Specifically, it evaluates composition, exposure, sharpness, and the subject's coherence with the context. Feedback is provided in textual form, with specific and actionable suggestions.
Similarly to what already happens with tools like Adobe Firefly, the model is trained on a corpus of professional images. Consequently, the system does not just detect technical errors. It also evaluates the communicative effectiveness of the image against established aesthetic standards.
In addition to this, background removal is now applicable to complex scenes: hair, transparent objects, reflective surfaces. This overcomes the limitations of previous segmentation models. Therefore, the result can be used directly in production, without additional manual touch-ups.
Immediate impact on e-commerce and retail workflow
For marketing managers in e-commerce companies, this feature has direct implications. In fact, producing product images typically requires several steps: shooting, selection, background removal, optimization, and approval. Each stage incurs costs in terms of time and resources.
With Project Indigo, at least two of these steps are compressed at the time of capture. Therefore, teams can significantly reduce the time-to-publish for visual content. In particular, for retailers managing catalogs with hundreds of SKUs, the operational savings can be substantial.
According to research from McKinsey, The speed of content production is a major competitive factor in digital marketing today. Therefore, tools that accelerate this cycle have a direct impact on sales performance.
We of SHM Studio We work daily with retail and B2B sector clients. Therefore, we are observing this evolution with concrete interest, as it directly affects the workflows we manage for our clients.
Opportunities for content creators and social media teams
Beyond e-commerce, AI critique functionality also interests organic content professionals. In fact, many social media managers and content creators produce images on the go, often without access to advanced editing tools.
In this context, receiving immediate qualitative feedback — even before publishing — represents a real advantage. Furthermore, the ability to remove backgrounds directly from the app eliminates one of the most frustrating steps in content production for platforms like Instagram, LinkedIn, or Pinterest.
For companies investing in LinkedIn campaign In organic content strategies, visual quality is a determining factor for engagement rates. Consequently, tools that raise the average quality standard—even without advanced photographic skills—have a measurable impact on performance metrics.
What to do now: strategic positioning for marketing managers
First, it is advisable to check if Project Indigo is already available for your Adobe accounts. The feature is currently in a trial phase, but Adobe has historically integrated Project features rapidly into its main suites.
Subsequently, it is worth mapping the internal production workflows. In particular, bottlenecks in the shoot → edit → publish chain need to be identified. These are the points where Adobe's AI can generate the greatest operational savings.
Finally, it's advisable to consider how this feature 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.
Furthermore, it is useful to train internal teams on the correct use of AI feedback. In fact, the risk is to uncritically rely on automatic evaluations, losing the creative and strategic component of visual design.
The chantier still open: limits and unresolved issues
Despite this, there are some areas of uncertainty that warrant attention. First and foremost, the quality of AI critique depends on the training corpus. Therefore, the system may favor conventional aesthetics at the expense of deliberately non-standard visual choices.
Furthermore, it is not yet clear how Adobe will handle analyzed images in terms of privacy and data usage. This is a sensitive topic, particularly for companies that produce confidential or NDA-protected content. Therefore, before widespread adoption, updated terms of use need to be verified.
Similarly, automatic background removal, while improved, is not infallible on complex surfaces. Therefore, for high-criticality productions, human oversight remains necessary. However, for mass production, the current level of accuracy is already sufficient for many use cases.
To further explore 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.
Perspectives: Where is AI-assisted Visual Production Heading?
The direction is clear. AI will not replace the photographer or the creative director. However, it will increasingly shorten the gap between shooting and publication. Consequently, the skills required of marketing teams will shift from technical execution to editorial curation and visual strategy.
In the next 12-18 months, it's reasonable to expect that similar features will also be integrated by other industry players. In fact, competition in the AI-powered camera app segment is already intense, with players like Google, Apple, and specialized startups. Therefore, Adobe has an interest in consolidating its positioning before the market becomes crowded.
For Italian marketing managers, the message is pragmatic. Tools like Project Indigo do not require an immediate organizational revolution. On the contrary, they fit into existing workflows and optimize them progressively. Therefore, the best time to start experimenting is now, while the feature is still in early access.
If you want to understand how to integrate these tools into a strategy AI marketing structured, or how to optimize visual content production for SEO copywriting and digital campaigns, the team SHM Studio is available for a consultation.. Furthermore, on our blog we regularly publish analyses on digital marketing tools and trends. Finally, for those who want to explore the full offering, the SHM Studio services cover the entire spectrum of digital marketing, from SEO hello web development.
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