What It Means to Be 'AI Native' in a CRE Advisory
The Golden Opportunity for New Cos
What if the biggest advantage you have right now isn't your experience, your client book, or your reputation - but the fact that you haven't built anything yet?
This is my message to a new client I’m working with.
That might sound counterintuitive. The partners have each spent 15 to 20 years in commercial real estate. They’ve completed hundreds of projects between them, navigated downturns, built relationships that took a decade to earn. And now someone's telling them the best thing you've got going is a blank sheet of paper.
Bear with me.
Earlier this month, Sequoia Capital partner Julien Bek published an essay with a straightforward thesis: for every dollar businesses spend on software, roughly six dollars is spent on services. And AI is about to collapse the cost of delivering those services to near zero.
Note the word ‘delivering’. That is the key.
Let’s unpick this… What is important here, is what the statement does not say.
It does not say that AI will be delivering those services by itself.
It does not say that anyone using AI can deliver those services.
It does not say that clients willing to pay for those services will go away (albeit one would be prudent to model downward pressure on the willingness to pay over time).
It does say that the cost of delivery will head to zero. Therefore this opens up a huge opportunity for those that can - those that have the experience, skills and qualification - to arbitrage the gap using AI.
Bek went on to say that ‘the next trillion-dollar company won't sell software tools. It will sell work outcomes.’
Now, my client is not building a trillion-dollar company. But the principles Bek lays out apply directly to what they're doing - arguably more so. Because they're not a VC-backed startup trying to eat an entire market. They're a partnership of experienced professionals starting a commercial real estate practice. And that means they get to make a choice right now that most established firms - they’re competitors - can't.
The Clean Sheet Advantage
Every established CRE practice carries weight. Legacy systems. Old tech installs nobody updates. Processes designed around the way things worked in 2015. Cultural resistance to change, often from the very people whose buy-in you'd need most. Changing any of that is painful, expensive, and slow.
They don't carry any of that. The clean sheet is their arbitrage.
Being AI native doesn't mean they bolt a chatbot onto an existing workflow and call it innovation. It means they design the entire operating model from business development through to project delivery and reporting - with AI woven into the fabric from day one.
Every process, every system, every decision about how they spend their time starts with one question: can this be automated, and if so, why would we ever do it manually?
That's the difference between a firm that uses AI and a firm that is ‘AI native’. One adds tools to old habits. The other builds new habits around what the tools make possible.
What AI Native Actually Looks Like
Let's get specific. Because if this stays theoretical, it's just another LinkedIn post about AI (and we've all read enough of those to last a lifetime).
Automate the administrative backbone. Commercial Real Estate advisory is drowning in admin: project reporting, consultant coordination, meeting notes, programme tracking, invoice management, document control. A firm built around AI from scratch automates this operational load as a default, not a nice-to-have. That frees their most expensive resource - their time - for the work clients actually pay them for.
Systemise business development. BD in property consultancy is often relationship-led and inconsistent. We all know the pattern: a flurry of calls when the pipeline looks thin, radio silence when you're busy on live deals. An AI-native firm treats BD as a structured engine. CRM-driven pipeline tracking. Automated outreach to investors and landowners. Market intelligence alerts for development opportunities. Regular thought leadership to build authority. Instead of sporadic networking, BD becomes repeatable and data-informed.
Deliver projects with agility. Traditional consultancies operate in rigid phases. Produce a feasibility study at the start, hope the assumptions hold. An AI-native firm runs shorter decision cycles, rapid scenario testing, iterative feasibility modelling, and continuous risk monitoring. You refine the development strategy as new data emerges, not six months after it was relevant.
Build consistency across every project. One of the hidden problems in commercial real estate advisory is inconsistent delivery between projects or teams. Standardised playbooks, automated checklists, structured reporting formats, clear stage-gate processes - technology enforces operational discipline so that every client gets the same quality. That predictability is rare, and clients notice.
Scale without scaling headcount. Traditional firms grow revenue by adding people. An AI-native firm scales differently: shared project data environments, automated reporting, integrated financial dashboards. A small team manages a portfolio that would ordinarily require twice the headcount. The firm becomes high-output without becoming heavy.
Run the business through metrics. Project programme variance, cost variance, consultant response times, pipeline value, conversion rates, client acquisition cost, planning success rates, project IRR performance against forecast. Instead of running on instinct and experience alone, leadership teams operate the firm like a data-informed system. Experience tells you where to look. Data tells you what you're seeing.
The Pledge
Here's where it gets real. None of this works without full commitment from every Partner at the table.
Going AI native is a pledge between the founding team - a conscious decision not to carry old ways into the new business. It's easy to default to what you know. They've spent two decades building habits, and those habits were successful. The temptation to replicate the operating model of your last firm, just with your name on the door, is enormous.
Resist it.
They have been presented with a golden opportunity. They're experienced enough to carry client trust. They're not so set in your ways that they can't adapt (I genuinely hope). That combination - credibility plus adaptability - is a window, and windows don't stay open forever.
Bek's essay talks about the innovator's dilemma: established firms can't easily sell outcomes because it means restructuring everything they've built. They don't have that problem. They haven't built anything yet.
This Isn't About Building an Empire
Sequoia is talking about trillion-dollar outcomes. Fair enough - that's their game. My client’s is different, and that's the point.
Being truly AI native gives them something more valuable than market domination. It gives you the ability to build a successful, profitable business that lets them focus on the elements of the work you're genuinely passionate about - The client relationships. The deal-making. The strategic thinking that only comes from years at the coal face.
It also gives them balance. The capacity to be present for their families, to enjoy the second half of their careers - whether that's the next five, ten, or fifteen years - without the business running them into the ground. When the admin is automated, the BD is systemised, and the reporting runs itself, they're left with the work that made them fall in love with this industry in the first place - the work that their clients are realising value from.
That's not a small ambition. That's arguably the biggest one.
The Window
The rate of change in this industry is going to catch people off guard. Things might not look different tomorrow or next month, but a year from now we could be in a completely different world.
The firms that moved early - the ones that made the decision to go AI native before it felt urgent - will have a competitive edge that's difficult to replicate once the rest of the market wakes up.
They have the experience. They have the relationships. They have the trust. And right now, they have something most established firms would pay a fortune for: the freedom to start from scratch.
The question is simple: are they going to maximise it?
