The AI industry has a vision problem.
A recent TechCrunch article gathered some of the ideas tech leaders have been promoting. Marissa Mayer reportedly used AI to help write a school description of her own daughter. Sam Altman has suggested AI-made podcasts for the school run. Mark Zuckerberg has talked about AI meeting people’s social and romantic needs. Bumble’s Whitney Wolfe Herd has floated AI “concierges” that date on your behalf.
TechCrunch’s Amanda Silberling summed up the reaction many people share: the industry seems to be pushing a future where “basic human interaction gets more and more optimized out of actually occurring.” The pain points tech leaders mention, like booking flights and restaurant tables, are rarely what keeps ordinary people up at night.
So what would AI look like if it were built for everyone else? In real estate, the answer is surprisingly clear.
Real estate runs on relationships and repetitive questions
Buying, selling or renting a home is one of the most personal decisions people make. It involves trust, negotiation, local knowledge and judgment. That’s work AI shouldn’t take over.
But around those big moments sits a mountain of repetitive work. Any estate agent, letting agent or property manager will recognise these messages:
- “Is this property still available?”
- “What’s the asking price or rent, and what’s included?”
- “Can I book a viewing this Saturday?”
- “Are pets allowed? Is there parking?”
- “What documents do I need to apply?”
- “The boiler isn’t working. Who do I call?”
These questions arrive by phone, email, WhatsApp and listing portals, often in the evening or at weekends. Answering them by hand takes hours, and slow replies can mean losing a buyer or tenant to another agency.
That’s where AI belongs in property: not choosing someone’s home for them, but answering the same questions quickly so people have more time for the conversations that matter.
Where AI genuinely helps the property sector
| Who | Repetitive task AI can handle | What stays with a person |
|---|---|---|
| Estate agents | Availability, prices, viewing slots, property details | Valuations, negotiation, offers, advice |
| Letting agents | Rent, deposits, pet and parking rules, application steps | Tenant referencing decisions, disputes |
| Property managers | Maintenance requests, contact details, routine updates | Emergencies, complaints, tenant welfare |
| Developers | Plot availability, floor plans, show-home times | Sales conversations, contracts |
| Buyers and renters | Getting instant answers at any hour | The final decision on where to live |
The pattern is the same in every row. AI takes the questions that have one correct answer already written down somewhere. People keep everything involving judgment, money, trust and care.
Proof from outside property: 2–3 hours a day down to 20 minutes
This approach isn’t theory. Qaushik Labs recently built a WhatsApp AI agent for a small UK business, not an estate agency, but one facing the same problem: a receptionist spending 2–3 hours a day answering the same customer questions.
The agent was trained on the business’s own FAQs and policies, and hands anything complex or sensitive to a person.
- It now answers about 80% of routine questions automatically.
- Time spent on routine replies fell to 15–20 minutes a day.
- The business saves about £716 a month, and the £500 build paid for itself in about three weeks.
The hours saved weren’t cut. They went back into serving customers. For an agency, that’s more time for viewings, valuations and the conversations that actually close deals.
A five-question test for AI in property
Before an agency, landlord or developer adopts any AI tool, it’s worth asking:
- Does it remove a chore, or a relationship? Answering “Is it still available?” is a chore. Advising a first-time buyer is a relationship.
- Who asked for it? The best tools solve problems your own team raises, not ones from a sales demo.
- Does a person stay in charge of judgment? Pricing, offers, referencing and disputes need human accountability.
- Can you measure it? Track hours saved, response times and enquiries converted.
- Is it honest with clients? People should know when they’re talking to AI, and be able to reach a person easily.
Where AI should not go in real estate
TechCrunch’s discussion is a useful warning for proptech. Just as most parents don’t want AI describing their children, most buyers don’t want AI deciding where they should live. Tools that promise to “know what you want better than you do” risk the same backlash the article describes.
In property, that means being cautious about AI that:
- makes pricing or valuation decisions without human review
- screens tenants or buyers in ways that could be unfair or hard to explain
- replaces the agent’s local knowledge and advice
- handles complaints or sensitive situations without a person involved
Trust is the real currency in real estate. AI should protect it, not spend it.
The bottom line
Tech CEOs may want AI to run their personal lives. The property sector needs something far more ordinary: AI that answers the routine enquiries quickly and accurately, so agents, landlords and managers have more time for the people in front of them.
The most valuable AI in real estate won’t choose anyone’s home. It will make sure nobody waits two days to hear whether it’s still available.
For agencies and property businesses wondering whether AI is worth it, Qaushik Labs builds AI WhatsApp and website assistants, and starts every project by checking whether the numbers add up.
Source: AI can make tech CEOs’ lives easier. What about everyone else?, TechCrunch, November 1, 2026. Executive examples are as reported in that article. Case study figures are from a Qaushik Labs client project outside the property sector.