AI Won't Replace the Real Estate Deal. It Will Change Who Wins It
Every few years a technology is supposed to "disrupt" real estate. Listing platforms, online auctions and digital closings all changed parts of the business without replacing the people who make deals happen. Artificial intelligence is different in one important way: it doesn't just move information faster, it can analyze it. That will change who wins in commercial real estate, even if it doesn't eliminate the deal itself.
Where AI is already useful
In my roughly 20 years in the business, the slowest parts of a transaction have often been the least strategic: reading through leases, reconciling rent rolls, building comparable sets and summarizing due diligence. These are the tasks AI tools are getting good at.
- Lease abstraction and document review: pulling key dates, options and obligations out of long documents in minutes rather than days, with a human checking the output.
- Underwriting support: faster first-pass models and sensitivity analysis, so the team spends its time on the assumptions that matter.
- Market research: summarizing public data, news and filings to frame a submarket.
- Asset and property management: predictive maintenance, energy management and tenant communication.
What AI can't do
AI can tell you what a lease says. It can't tell you why a tenant really wants to move, whether a seller is motivated or how a landlord will behave in year seven of a ten-year lease. It can't walk a building and notice what the photos missed. And it can't build the trust that gets a deal through a hard negotiation.
AI tools also make mistakes, sometimes confidently. In a business where one missed clause can cost millions, every AI output needs verification by someone who knows what they're looking at.
Who wins
I expect the advantage to go to three groups:
- Professionals who combine AI with deep local knowledge. Tools are widely available, but judgment about a specific submarket is not.
- Firms that clean up their data. AI is only as good as the information it works with. Owners with organized leases, operating data and building information will get far more out of these tools.
- Clients who demand speed and transparency. As analysis gets faster, clients will expect quicker answers and clearer reasoning from their advisors.
The demand side of AI
There's another way AI affects real estate: it changes what tenants need. Data centers and the power to run them have become one of the most closely watched parts of the market. Office tenants are rethinking space as their workflows change. Healthcare and financial-services occupiers, the tenants I focus on, are adopting AI in ways that may change their headcount and space needs over time.
A practical starting point
For owners and occupiers who want to start, my advice is modest. Pick one repetitive workflow, such as lease abstraction, test a reputable tool against work your team has already done, measure the accuracy and keep a human in the loop. Protect confidential data and read the tool's data-use terms. Then expand from there.
AI won't replace the real estate deal. It will reward the people who use it to make better decisions faster, and who never forget that real estate is still a relationship business.
Ayal Frist is President, Commercial at Stateland Brown and COO of EVRI Capital Partners, and is based in Boca Raton. Views are his own.