AI Virtual Staging: visual promises and misleading risks

The setup: when AI reshapes ad reality

Last June, The Verge has published an investigation about the phenomenon of AI-based virtual staging in the US real estate market. The classic example is Joyce, a New Yorker looking for her first apartment on her own. After weeks of disappointing viewings, Joyce finds the perfect studio online: spacious, bright, with a fireplace and a renovated kitchen. She rushes to see it. Upon arrival, she discovers that the actual apartment doesn't match the images at all.

This isn't an isolated incident. In fact, the adoption of AI tools for improving and transforming real estate photos has grown exponentially in the last two years. Therefore, the problem is no longer niche: it affects millions of listings and, above all, millions of users making important decisions based on images that don't reflect reality.

The numbers that matter: how big this trend really is

According to recent data from National Association of Realtors , over 95% of buyers and renters start their search online. Consequently, listing images represent the first — and often only — point of contact before the physical visit.

The AI virtual staging market is already worth hundreds of millions of dollars globally. Tools like Virtual Staging AI, REimagineHome, and similar ones allow you to transform an empty or dilapidated room into a curated, modern environment in seconds. The cost is negligible compared to traditional virtual staging. However, the speed and affordability of these tools lower the ethical threshold for those who use them.

In Europe, and in Italy in particular, the phenomenon is growing rapidly. Furthermore, the rental market in large cities — Milan, Rome, Bologna — is characterized by demand that is structurally higher than supply. This imbalance amplifies the impact of misleading images: the user, under pressure, is more vulnerable to the expectations generated by unrealistic visuals.

The big picture: why this matters for every advertiser, not just real estate

Virtual real estate staging is just the tip of the iceberg. Contrary to what you might think, the problem of misleading AI images spans many different sectors: e-commerce, hospitality, food, furniture, automotive. In all these areas, generative AI can enhance — or alter — the visual perception of a product or space.

We at SHM Studio we team up every day with businesses handling google ads campaigns and LinkedIn campaigns . We're seeing a worrying trend: the pressure to produce catchy, low-cost visuals is pushing toward the use of AI images without proper disclosure. However, this choice can have serious consequences.

On the regulatory front, the EU Unfair Commercial Practices Directive and the Digital Services Act are imposing increasingly strict requirements on the transparency of commercial communications. In particular, European supervisory authorities are increasing their focus on digital misleading advertising practices. Therefore, using AI images that significantly alter the reality of a product or service is not just a reputational risk — it's a concrete legal risk.

Trust erosion: the hidden price of let-down expectations

Academic research on this is super clear. According to a study published in Harvard Business Review , breaking the expectations generated by visual communications is one of the main drivers of brand abandonment and negative reviews. Therefore, the damage doesn't end with a single missed transaction.

In real estate, Joyce's case is a prime example. She wasted precious time. Furthermore, she developed a distrust towards the platform hosting the listing. In a market like urban rentals, where platform reputation is already under pressure, each incident like this fuels a vicious cycle.

Similarly, in e-commerce, a product photographed with AI that looks different from the item received generates returns, disputes, and negative reviews. Consequently, the savings on the cost of photographic production are largely eroded by subsequent operational and reputational costs. Therefore, the

The regulatory framework is still wide open

On the regulatory side, things are moving fast. The European AI Act , which came into effect in 2024 and is being progressively applied, introduces transparency obligations for AI systems that generate or manipulate visual content. In particular, Article 50 of the AI Act stipulates that artificially generated content must be labeled in a way that is recognizable to the end-user.

However, the practical application of these rules to real estate and advertising content is still open to interpretation. Despite this, the trend is clear: disclosing the use of AI in commercial visual content will become mandatory and verified. Therefore, companies that prepare now—with clear internal policies and visual approval processes—will have a significant competitive advantage.

In Italy, the Italian Competition Authority (AGCM) has already initiated proceedings on deceptive digital advertising practices. Furthermore, the Institute of Advertising Self-Regulation (IAP) has updated its guidelines to include explicit references to AI-generated content. Therefore, the scope is progressively narrowing.

What this means for marketing teams

For marketing and digital managers in Italian companies, the practical implications are immediate. First of all, an audit of the visuals currently used in campaigns is necessary: how many images were generated or significantly altered by AI? To what extent do they reflect the reality of the product or service offered?

Next, a company policy on the use of generative AI in visual content needs to be defined. This policy must include clear criteria on what is acceptable — improving brightness, removing distracting elements — and what is not: altering dimensions, adding non-existent elements, substantially modifying product characteristics.

Finally, disclosure becomes a strategic tool, not just a regulatory obligation. Indicating that an image has been processed with AI, when this is relevant to the purchase decision, builds trust rather than eroding it. Furthermore, it positions the brand as transparent and responsible — a value increasingly appreciated by Italian consumers, as confirmed by Gartner's research on consumer trust in digital marketing .

On the ground, the teams teaming up with us on SEO and Copywriting are already weaving these checks into how they make content. Likewise, folks managing Websites and landing page must check the consistency between the published images and the real experience the user will find. Therefore, the problem isn't just about advertising: it concerns the brand's entire digital ecosystem.

What nobody's saying: the visual arms race paradox

There's an element often overlooked in the AI virtual staging debate. The issue doesn't stem from bad faith by individual operators, but from a perverse competitive dynamic. If all listings on a platform show bright, well-maintained apartments thanks to AI, those who publish real photos — perhaps less attractive ones — are algorithmically penalized and ignored by users.

Therefore, a race to the bottom of visual credibility is created: to compete, one is forced to use increasingly elaborate images, progressively moving away from reality. Consequently, the platforms themselves — and not just individual advertisers — have a systemic responsibility in defining standards and limits.

For companies investing in Digital marketing and in AI solutions , the answer is not to give up on technology. On the contrary, it is to use it wisely, defining an internal threshold of acceptability and communicating it transparently. This approach is not only ethically correct — it is strategically more sound in the long run.

To dive deeper into these topics or for an evaluation of ongoing campaigns, the SHM Studio team is available through the page contacts . Furthermore, on our Blog we keep an eye on regulatory trends and best practices in Italian digital marketing.