Intelligence artificielle et immobilier : entre révolution, illusion et housefishing
- Christophe Abbes
- 23 hours ago
- 7 min read
Artificial intelligence is everywhere. In price estimates, agency chatbots, and the listings you browse on your phone tonight. It promises more clicks, more visits, and more bookings.
The numbers are staggering. And yet—when I step through the door of a property after seeing its photos online, I don't always find what the screen promised me. This disconnect has a name. It’s called housefishing.
What the numbers say — and they are massive
The market for AI applied to real estate was valued at $303 billion in 2025. Annual growth exceeds 36%.
Projections for 2033 exceed $41 billion for the specialized real estate AI segment alone — not accounting for general-purpose tools repurposed by agents and property owners.
On the adoption side, the shift has already occurred. 97% of real estate professionals are actively interested in AI applications. 46% of American agents use AI-generated content in their listings — descriptions, photos, videos. And Morgan Stanley estimates that AI could generate $34 billion in operational savings for the sector by 2030.
In Real Estate Sales
Automated valuation models now achieve error margins of 3%—down from 10 to 15% five years ago. Virtual staging tools—software that virtually furnishes an empty room—increase showing requests by up to 200%. AI chatbots improve lead generation by 33%. And platforms that use AI to analyze the market claim a 90% accuracy in identifying emerging trends.
In Short-Term Rentals
The impact is equally significant. An Airbnb study of over 100,000 listings showed that properties with professional-quality photos generate 28% more bookings and up to 40% more revenue. Academic research on 13,000 listings measured an average gain of $2,521 in annual revenue—simply due to visual enhancement.
The cost of this improvement has dropped. A professional shoot costs between 200 and 800 euros. An AI tool for retouching or virtual staging: between 1 and 5 euros per photo. The ratio is 1 to 100. And hosts are aware of this—virtual staging, dynamic pricing, and automated retouching tools are rapidly becoming commonplace without measuring on-the-ground impact.
What These Numbers Don't Tell
I work on the ground. I photograph rental properties, hotels, guesthouses, and restaurants — in Provence, all year round. And what I observe doesn't always align with the enthusiasm of analysts' reports.
The +200% in inquiries is not +200% in sales
More clicks are good. But if the visitor walks through the door and discovers a property that doesn't match the photos, the click turns into disappointment. And disappointment, in real estate as in vacation rentals, has a measurable cost — negative reviews, downward negotiations, and wasted time for everyone involved.
The Market Figures Mix Everything Up
The $303 billion includes AI pricing, chatbots, CRM, predictive analytics, smart building management… and image generation. Virtual staging represents only a fraction of this overall market. But it is precisely this fraction that directly affects the trust of the buyer or tenant. And it is the one whose side effects are not really measured by anyone.
When the Cost Barrier Disappears, Average Quality Collapses
A tool at 3 euros per photo, accessible without technical skills, usable in 45 seconds from a smartphone — it's a call for ease. An American agent summarized the logic with disarming frankness: "Why send my photos to a virtual stager for $500 when I can do it in ChatGPT for free in 45 seconds?"
The problem is not the tool.
The problem is what we do with it when nothing holds us back.
The Absence of Regulatory Framework
In January 2026, California became the first U.S. state to legislate. Assembly Bill 723 now requires agents to disclose any AI-enhanced image and provide the unaltered original photo. The State of New York issued an official warning to buyers. Australia (New South Wales) penalizes misleading rental listings with fines of up to $22,000.
The rest of the world is navigating without clear guidelines. In France, no specific framework exists to date.
Housefishing — When Real Estate Becomes a Dating Site
The term emerged in 2025 on American social media. Housefishing — a contraction of house and catfishing. Catfishing refers to the phenomenon on dating sites where a person presents themselves with retouched photos, an AI-enhanced physique, added muscles, a smoothed face. The first date reveals the reality. The disappointment is proportional to the gap between the promise and the reality.
Real estate does exactly the same thing.
The Listing Shows a Dream House. On Site, It's Something Else.
In October 2025, a Zillow listing for a house in Detroit went viral. The photos in the listing showed a flawless facade, a redesigned roof, repositioned trees, and a driveway that did not exist. The comparison with Google Street View circulated widely. An internet user summarized the situation in a phrase that became emblematic of the phenomenon: "We live in an era of house catfishing."
The interiors were no exception — carpets with impossible shapes, inconsistent lighting, virtual furniture in clearly empty rooms.
The Parallel with Dating Sites is Striking
On Tinder or Bumble, AI allows users to present themselves as muscular, tanned, and rejuvenated. The person on the other side invests time, emotion, and hope—based on an image that does not exist.
At the first date, everything falls apart. Not because the real person is uninteresting—but because trust is broken from the very first second.
In real estate, the mechanism is the same. The listing promises a bright living room with contemporary furniture. On-site—four white walls, a tired floor, and a bare bulb hanging from the ceiling. The AI did not enhance the property. It invented a property that does not exist. And the visitor, like the disappointed single, leaves with a sense of deception that taints the entire subsequent experience.
The worst part is the cascading effect. On Airbnb, a disappointed traveler leaves a negative review. The algorithm penalizes it. The ranking drops. Subsequent bookings become scarcer—and at lower prices. What the AI had "gained" in clicks, it loses in trust.
Trust Cannot Be Photoshopped
A real estate agent from Washington expresses it clearly: when the buyer arrives and reality does not match the photos, the positive emotion turns. It is no longer interest — it is distrust. And a distrustful buyer negotiates harder, hesitates longer, or disappears without calling back.
For professional photographers, the subject is also existential. An American freelance photographer estimates that at least 12% of the listings he reviews are now retouched or entirely generated by AI. He predicts that this number will grow rapidly — and with it, the pressure on human photographers.
My Approach: AI in Service of Reality, Never Against It
I am not anti-AI. I use it. But in a measured way — and above all, consistent with what the visitor will find on-site.
What I Do with AI
→ Add sunshine when the shooting day was overcast. Provence is sunny 300 days a year — a gray sky in a photo is not representative of the location.
→ Remove an unsightly electrical cable that crosses the frame. The cable exists, but it does not define the property.
→ Eliminate the reflection of my camera in a mirror. It is a technical artifact, not a feature of the location.
→ Integrate a couple into a scene — terrace, pool, living room — to help the visitor envision themselves in the space. This is not deception. It is situational context.
→ Create photographs of nighttime ambiance — the illuminated pool, the lit facade, the terrace at dusk. A night shoot is rarely possible within the schedule of a mission. AI allows for capturing this ambiance that the location truly offers every evening — without inventing what does not exist.
I always maintain a high-quality visual approach, with the goal of avoiding anything kitschy and not following the crowd. Quality comes first. I know the best generative AIs based on what I want, while the general public tends to favor ChatGPT.
What I Never Do
→ Change the furniture. If the sofa is beige, it stays beige. If the kitchen is rustic, it remains rustic.
→ Modify the walls, floors, or materials. What the photo shows is what the visitor will find when they open the door.
→ Add elements that do not exist—pool, terrace, unobstructed view.
→ Conceal a structural defect, a crack, or signs of wear.
The line is clear. AI corrects shooting accidents—the weather, a reflection, a distracting element. It does not reinvent the property. The difference between enhancing and lying is precisely where it lies.
Why This Discipline is a Commercial Advantage
A hotel or a rental property whose photos match reality builds something that AI cannot create—long-term trust. The traveler arrives, recognizes what they saw online, and their stay begins on a positive note. The review will be good. The algorithm will reward this. Subsequent bookings will come naturally.
Conversely, a property whose photos overpromise pays a heavy price—in negative reviews, low customer return rates, and a reputation that silently erodes.
What Housefishing Reveals About Our Time
The phenomenon goes beyond real estate. It says something broader about our relationship with image and reality. Social media has accustomed us to filters. Generative AI pushes this logic a step further — it doesn't just retouch the existing; it invents something new.
In real estate, this logic runs into a very concrete wall: the visitor always ends up pushing the door. And what they find behind that door, no algorithm can modify.
For homeowners, hoteliers, and property managers — the question is no longer whether to use AI. It's about knowing where to place the cursor. And that cursor is placed in the same spot as in any human relationship:
where the promise remains tenable.Have a great day,Photographically
Christophe
Sources
→ PwC & Urban Land Institute — Emerging Trends in Real Estate 2026 : AI Moves into Real Estate
→ Futurism — Annonce virale Detroit : "We live in an era of house catfishing"
→ Yahoo Finance — Misleading AI Listing Photos : avertissement de l'État de New York