How AI is transforming real estate agencies in 2026

Artificial intelligence in real estate has moved from being a basic tool used to write property descriptions and retouch images to reshape the way agencies across Australia and New Zealand operate on a daily basis. 

The agencies using disruptive technology in real estate well in 2026 are leveraging this technology to prospect ‘smarter’, follow up more consistently and win more listings than their competition.

Every software vendor and CRM now claims to have AI features. This article looks past the noise at what real estate and AI can achieve inside real Australian and New Zealand property agencies today, and the impact AI can have on agency efficiency and profits. 

How is AI being used in real estate agencies in 2026?

In 2026, artificial intelligence in real estate is ‘hard at work’ behind the scenes, taking care of tasks that used to eat into your day as a sales agent or property manager. 

For example, it can score and prioritise leads so you know who to call first, why and what to say. AI can also trigger follow-up sequences based on buyer and vendor behaviour, drafts emails and SMS messages for you to update and send, matches properties to buyer databases automatically, and flags listings likely to come to market before they are appraised.

In Australia and New Zealand, where the markets are beginning to see a surplus of home opens, buyers suddenly have the upper hand, vendors are stressed about getting a good result and it’s harder for agents to secure listings. Because of this, having AI backup is increasingly mission-critical. 

Ways Australian real estate agencies are using AI in 2026:

• Scoring and ranking leads by likelihood to transact (and surfacing relevant information)
• Triggering automated follow-up after open homes and enquiries
• Digital, self-service vendor reporting
• Drafting listing descriptions and social copy for agent review
• Matching new listings to buyer databases in real time
• Identifying vendors likely to list based on market and behavioural signals
• Dictating notes that are used to create new contacts, set reminders and draft emails

AI is shifting agent time away from admin and towards relationship-building, which is where the real value of a good agent has always sat.

Quality AI is shaped by industry insiders and advisory boards, who understand where and how it can be most valuable. 

What are the best AI tools for real estate agents in Australia?

The best real estate AI tools solve a specific bottleneck and knowing which AI features are worth paying for is the first step to making the right choice. In a CRM platform, this may mean having built-in AI that handles lead scoring and follow-up automation. Meanwhile, AI writing assistants speed up listing copy and email drafting, and market analysis tools automatically suggest a high-performing default audience for your listing, like first home buyers or downsizers. 

Rex Software is one example of a purpose-built CRM, with AI features carefully selected by a panel of industry insiders.

The right AI features depend on where you are currently losing the most time, not which product has the longest feature list.

For a breakdown of how to put AI to work as a real estate agent, download this guide to Practical AI for Real Estate Agents. This explains what AI adoption really looks like, how it affects agents day-to-day, and how to use it to deliver better client experiences and results.

How will AI affect real estate?

Over the next two to five years, disruptive real estate technology will continue to speed up property search and matching, reduce the need for manually created reports, and make data-driven decisions more accessible. 

As reported by the Property Council, at the moment operational efficiency is the biggest benefit of AI, and the future is likely to see shifts in the way agencies build teams, develop skills and invest to achieve growth. 

From a consumer perspective, property searches will change as well, with realestate.com.au explaining that listings platforms will be able to respond to more ‘conversational’ searches than filters and keywords. With property seekers who use AI in their search journey reportedly more likely to save, enquire, share or inspect a property, this may also shape the way copy and online listings are created. 

Some things will stay the same. Vendors will always need the support and advice of a person they can trust. Negotiation will still depend on reading and communicating with people. And local market knowledge, the kind built from years working a suburb, will always be something no algorithm can fully reproduce. 

If you have been in real estate for many years, you will know that relationships and words matter as much as numbers and data. This highlights why you remain so important as an agent who has experience and cares about your client’s outcomes.

AI improves the efficiency of skilled agents, saving them time and reducing their to-do list. It does not replace what makes them necessary to the industry.

Will AI replace real estate agents or just change how they work?

AI won't replace real estate agents but agents who master it will pull ahead of those who don't. The fundamentals of real estate sales and property management remain deeply human: trust, negotiation, local knowledge and reading a room. What AI changes is the gap between agents who operate with those fundamentals backed by better tools, and those still relying on memory and manual process alone. 

What AI takes off an agent's plate:

1. Contacting potential vendors based on ‘best guess’ or chronologically working through lists
2. Manual data entry and CRM updates
3. First drafts of listing copy, emails and SMS
4. Creating ads based on assumptions
5. Costly retouching
6. Open home registration and attendee tracking
7. Time consuming open home report creation
8. Basic buyer-to-property matching

What it cannot touch:

• The human contact that is important with an initial appraisal
• Building trust with a vendor before they sign 
• Negotiating a transaction when emotions are running high
• Control over a live auction
• Managing a vendor's expectations through a slow market or when multiple offers come in
• Providing local insight that comes only from years working an area

Agents who benefit from AI will use it to eliminate tedious admin and keep stricter control over headcount, without compromising on reach or service.

Why AI Is a Competitive Necessity for Australian Real Estate Agencies

2026 has seen artificial intelligence in real estate move from a curiosity to a competitive necessity, and 2027 will bring more of the same. For agency principals in Australia and New Zealand who are weighing up disruptive real estate technology more broadly, it is the clearest example yet of a shift that rewards early, practical adopters over those waiting for certainty. 

In the current slower market, the agencies pulling ahead are implementing AI strategically and using the right tools to free up their agents so they can build trust, negotiate well, and know their market better than a database ever could.

While ChatGPT, Claude, Gemini and other LLMs have their place, it makes sense to look for a CRM with AI built in rather than bolting tools onto a platform that wasn't designed for them. This way, processes and outputs can be consistent, and productivity can be systemised, rather than having different agents and administrators who all have their own way of working. 

Rex Software’s AI capabilities include: 

• AI Assist - log calls, add contacts, set reminders and draft emails via a single voice or text prompt
• AI Prospecting - a ranked daily call list showing who to contact, why now, and what to say
• AI-drafted email and SMS - personalised messages generated from each contact's history, ready for agent review before sending
• Natural language filters - search your database by typing plain English questions rather than building manual filters
• Ad content generation - marketing-ready listing descriptions and ad copy generated in a single click
• Smart property matching - automatically matches new listings to relevant buyers in your database
• Lead scoring and contact prioritisation - surfaces the contacts most likely to transact based on CRM signals and behaviour

Grab your guide to Practical AI for Real Estate Agents, or request a demonstration of Rex Software’s latest AI features to introduce effective and consistent AI into your agency today.