The promise of AI has been 10x productivity. The reality, says a 40-year technologist, is closer to 10 per cent. For real estate professionals caught between fear of missing out and fear of being suckered, the path forward isn’t automation for its own sake – it’s knowing how your work actually works, then using AI to invest more time in the thing that closes deals: trust.
There’s a quiet shift happening in GP clinics across Australia and New Zealand. Your doctor asks if they can record the consultation, a transcription tool captures the notes, and suddenly they have three extra minutes. They don’t use those minutes to cram in another patient.
They use them to look at you, listen properly, and ask the question they might otherwise have skipped.
Nigel Dalton thinks real estate agents should pay close attention to that model.
Nigel has spent four decades working at the intersection of social science and technology – as an inventor, lean practitioner, corporate executive at companies including REA Group, and current leader working alongside 9,800 software engineers at ThoughtWorks.
He’s watched hype cycles come and go. And he believes the current AI conversation is dangerously unmoored from reality.
“If we look at the actual data, making you faster is a bold claim,” Nigel says.
“Think more like 10 per cent. Because the fundamental thing we’re missing is that work is very rarely done by a single individual. By the time you hook in the rest of your network – bosses, people, lawyers – very little happens.”
That gap between the promise and the payoff has created what Nigel describes as a paralysing tension for industry leaders: they’re caught between FOMO and FOBS.
“The fear of missing out and the fear of being suckered. And what humans do in that moment is stand still. We cannot afford to stand still right now.”
Property transactions run on fear, not joy
To understand where AI fits in a real estate context, Nigel argues you first need to understand the emotional architecture of a property transaction. And it’s not what most agents want to hear.
“Let’s just share a little secret here. Nobody comes to the property process with a sense of joy. The core thing going on is fear.”
He paints the picture vividly: a buyer reaching the end of an open for inspection doesn’t think, “This is the one. This is the one I feel joy.” They think, “What if there’s a better one? What if someone else wants this one just as much as we do?”
The same applies to vendors sitting in their lounge room during a listing presentation. Their biggest asset is at stake. The dominant emotion isn’t excitement – it’s vulnerability.
“If we accept that hypothesis – that the property market is more about avoidance and reduction of fear than creation of instantaneous joy – then the question becomes: what profession specialises in reducing fear?”
Nigel’s answer is surprising, and compelling: medicine.
“I actually think real estate agents have got more in common with that profession than almost any other. You look at the skills your nurse practitioner, your GP, your surgeon uses to reduce your fear – incredible human skills and patterns of speech and laying out facts and having an honest conversation.”
The parallel extends to how these professionals are adopting AI. Doctors aren’t using it to replace the consultation. They’re using it to strip out administrative friction so they can be more present with the patient.
“You might actually just say, ‘Hey, can we record this meeting? I’m going to make sure that we get all of the details and I understand your situation entirely,'” Nigel suggests.
“Reinvesting time saved on taking notes by literally looking them in the eye, actively listening to what they’re saying, and asking questions. I think that’ll differentiate an agent who’s got AI from someone who’s just doing it the same old way.”
The housekeeping problem nobody wants to talk about
If the human side of real estate is about trust and presence, the operational side has a more prosaic challenge: most agencies are a mess.
Nigel doesn’t sugarcoat it.
“Some of the messiest little businesses in the world are in real estate. So many successful agencies are the combination of three others – someone retired, they bought their agency. They’ve still got three CRMs.”
This matters because AI tools are only as good as the systems they plug into. Nigel draws a direct comparison between a new apprentice and an AI assistant – both stumble over the same obstacles.
“All the things that a young apprentice at your agency would suffer in attempting to get a transaction done – ‘I don’t know the password to this, I don’t know how this screen works, which button do I click?’ – AI automation suffers from the same dilemmas.”
The agencies pulling ahead, he says, are the ones that have invested in process thinking – getting their data in order, consolidating systems, and mapping how work actually flows through the business. Without that foundation, bolting on AI tools risks accelerating you, as Nigel puts it, “down the wrong road spending a lot of money.”
He points to Toyota’s lean manufacturing philosophy as a useful frame – not for its efficiency gains, but for a principle most people overlook.
“The core of Toyota’s Japanese lean thinking was process thinking and human dignity. That’s what everyone misses – the human dignity side.”
It’s a reminder that the Section 32s, the pest inspections, the mechanical compliance steps – those are necessary, but they’re not where value is created. Getting them handled efficiently simply buys you time to invest in the relationship, the same way those three minutes work for a GP.
Making your own luck through systems
Real estate has always been shaped by factors beyond any individual agent’s control – interest rates, buyer sentiment, seasonal shifts. Nigel describes the market as “an omelette” where countless flavours and factors combine in ways that can’t easily be separated after the fact.
“We have to accept there’s a certain amount of luck – being the right agent at the right place at the right time, with the right buyer.”
But luck, he argues, can be influenced. He recommends Annie Duke’s book Thinking in Bets, written by a world champion poker player who also teaches management at PhD level.
“It’s about coping with luck and making your own luck through systems. And understanding how to reset when things go wrong.”
The poker analogy resonates: Duke combines mechanical skill (counting cards) with deeply human abilities (reading opponents, managing psychology under pressure). Nigel sees the modern agent needing exactly that blend.
“She’s got that combination – the mechanical and the human and the psychological of looking the other players in the eye and figuring out what the context is. These are all skills the modern agent needs.”
Where to start this week
Nigel’s practical advice is refreshingly specific. The cure for the FOMO-versus-FOBS paralysis is simple: walk up to it.
“Go and learn to prompt. Use some of these fancy tools where you can analyse the campaign you’re planning. Get your data in order. Review your pitches – ask, ‘Hey, I’m thinking this is my script for my pitch. What do you think?’ Pretty much all of the large language models will give you some interesting feedback on that.”
But start, he insists, with understanding how your work works. Map the process before you automate it. Know where the friction is deliberate and valuable – the stopping, thinking, and having a difficult conversation – versus where it’s just waste.
His parting challenge cuts to the core of what separates agents who will thrive from those who won’t.
“Really lean into how you can fix the trust problem that exists with technology, when in this world technology more often than not destroys trust than adds to it.”
The average agent, Nigel believes, is in deep trouble in a future shaped by AI. The great agent has no problem at all – because they’ve always been brilliant adopters of new tools, and they’ve never lost sight of what the client actually needs: time, trust, and transparency.
Three minutes, reinvested wisely, might be all the edge you need.
Watch the full episode of the Advantage AI Power Up Series here