Everyone's talking about AI. Most of it is noise. But if you work in commercial real estate, it's worth paying attention, because the parts of this industry that are ripe for AI aren't the flashy ones people write about. They're the boring ones. The tedious ones. The ones that make junior analysts quit.
Think about what a typical acquisitions team does in a week. They're sifting through dozens of OMs, most of which don't meet their criteria. They're building underwriting models from scratch for deals that may never close. They're pulling comps, updating assumptions, reformatting spreadsheets that someone else built three years ago. It's skilled work, but a staggering amount of it is repetitive. And repetitive work done by expensive people is a problem worth solving.
That's where AI actually works. Not replacing judgment, but eliminating the drudgery that sits between a good investor and a good decision. The best CRE teams aren't going to stop underwriting deals themselves. But they're going to stop spending 80% of their time on the setup work that has to happen before real analysis even begins. That time gets reinvested into what actually matters: evaluating deals, building relationships, and closing.
The industry has been slow to adopt technology. There are good reasons for that. Real estate is relationship-driven, every deal is different, and most PropTech tools over the last decade overpromised and underdelivered. But AI is different because it doesn't require you to change your workflow. It doesn't ask you to learn a new platform or sit through onboarding calls. It just does the work faster.
The firms that figure this out early won't just save time. They'll see more deals, move faster on the ones that matter, and build a compounding edge that's hard to catch.
The question isn't whether AI will change CRE. It's whether you'll be early or late.