AI Won’t Replace Property Managers, But Property Managers Using AI Might

Landlords hire property managers for peace of mind, not task completion. The real AI threat is not self-managing owners — it is lower-cost competitors using AI to reshape pricing.

If AI can handle the task-based work that many property managers are using it for now, can’t AI also replace the property managers themselves and allow individual landlords to just use AI agents to do the work of a property manager, putting us all out of a job? This was one question we contemplated while I was in Las Vegas over the weekend with Taylor Hou of APM Help and my old debate nemesis Mark Brower of Mark Brower Properties (more on that meeting in Friday’s article).

Personally, I’m not all that worried about this, and we’ll do a deep dive today into why. But my thesis at its core is pretty simple: landlords don’t hire a property manager to get basic tasks done; they hire a property manager for peace of mind. And at least for a good long while still, AI will never buy anyone peace of mind.

We Already Live in a Split Market

The first thing we need to remember here is that we already operate in a split market. Somewhere around 65% of landlords self-manage their rental properties. Property managers in the United States have always been competing over the 35% minority that uses a professional property manager.

There are many reasons that landlords choose to self-manage, but if you look at various studies and surveys of landlords on this topic, the big reasons are perceived cost and lack of control. For some landlords, they’re just really cheap and they think they can extract maximum cash flow out of their investment by eliminating professional management. Now, let’s set aside the fact that we know they’re wrong on this and that most of them are coming out worse off financially because they’re setting rents wrong, paying too much for repairs, etc., but this cost savings is the perception even if it doesn’t match actual reality. The other reason is wanting more personal control of their property. We see this pop up in a lot of ways in these surveys. Owners saying they want to do their own maintenance, they want to use their own vendors, they want to set their own rent, etc. Again, all terrible reasons and landlords are shooting themselves in the foot. But perception is reality, and this is why the majority of the market is self-managing.

Conversely, when you ask the minority why they do use a professional, they typically say things about peace of mind, not having to worry about their rental property all the time, not having to stay on top of regulations, etc. These are good reasons. And they show us a very clear dividing line in the thought process between these two groups of landlords.

Essentially, the cost of the PM isn’t the big factor for our clients. They care about other things:

• Fewer interruptions

• Less emotional involvement with tenants

• Help navigating laws, notices, and compliance

• Vendor coordination without personal involvement

• Placing a new tenant without personal involvement

• Handling tenant conflicts

• A professional buffer between themselves and tenants

• Confidence that the property is being watched

Some of these may have AI solutions. But most don’t. Not reliable ones, anyway. Ultimately, all AI systems involve what software engineers call HITL, or “Human In The Loop” at some level. A lot of times this is just for escalations, but as we all know, escalations are not uncommon. Even when you have human property managers handling things, if you’re the Broker/Owner, you know how often those human PMs are escalating to you for answers and decisions. That landlord who currently uses a professional PM doesn’t want the escalations. They want to be left alone.

My good friend Ray Hespen, CEO of Property Meld, and I have an ongoing discussion over what matters to landlords. Ray has long been an advocate of the idea that NOI (Net Operating Income) is supreme. If you save the landlord money and increase their NOI, the landlord will love you. I’ve always had a different take on this. My view is that Ray’s framing only works with institutional landlords and other professional landlords with larger portfolios. Yes, they are definitely all about the numbers. But that segment of the landlord population is less than 5% of the total. The overwhelming majority of landlords own just one rental house, or a handful at most. They aren’t professional investors, they’re accidental landlords or they’re just adding a little bit of real estate to their investment portfolio for long-term gains. What their current NOI is simply doesn’t rank high on their priority list. What they want is to not have to think about their real estate investment, just like they don’t have to think about their 401k investments. The penny-pincher self-manager is not and never has been our client. Landlords who hire professional managers are hiring peace of mind and trust, not higher NOI. And more importantly for this discussion, they aren’t just farming out task work, they’re eliminating the rental property from their daily worries. You are assuming the role of worrying about the property for them so that they don’t have to. AI doesn’t solve that problem.

AI Is Only a Tool for the Dedicated Self-Manager

That all said, AI is certainly a game changer for the self-manager who isn’t ever going to hire a professional. The truth is that PMs can offer their management services literally for FREE, and these landlords still wouldn’t hire them. Trust me, I know. I offered a $0 management fee plan for several years as an experiment (my ancillary revenue from tenant fees is enough to still make a profit). My goal was to capture these self-manager cheapskates. But guess what? Despite a significant ad campaign that included its own domain name, Facebook Ads, LinkedIn ads, Google Ads, etc., we only got two owners to take us up on it. Why was that? Because the self-manager doesn’t care about the cost. They care about the control. Even the ones who claim they care about cost aren’t being honest about it. Sure, that’s a factor, but the real decision-maker is the fact that they don’t have 100% control over what happens with the property after they hand it over to the PM.

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For these landlords, AI truly does make a difference. They’re going to be self-managers no matter what, so up until now, they’ve had to deal with all of the hassles of management themselves. Now, they can offload some of the task-based work with AI. They’ll still have to be involved, but they want to be involved. That’s their whole schtick. They’re convinced that their involvement is going to make things better (even though we know that it will in fact make things worse).

Notice that getting rid of the task-based work with AI does absolutely nothing for the 35%. They are all about peace of mind, and I don’t think you’ll find too many people who trust AI enough to have anything approaching peace of mind by handing their most expensive asset over to a piece of glorified software. The bottom line is that AI makes self-management a little bit easier; but it doesn’t make self-management disappear.

Our Target Customer is Going Nowhere

If you’ve been obsessively focused on trying to convert that 65% to using your management services, you are likely pretty frustrated. There’s a reason that postcard campaigns and cold calls to self-managing landlords typically have a 1% conversion rate. These people are stubborn as hell, and spending your time trying to convert them is usually a waste of time and money.

No, for most of us, the target customer is the landlord who always knew they didn’t want to manage the property themselves, or the landlord who has recently had a bad experience with self-management and has learned their lesson. This is the 35% that has held pretty steady in the market for a long time. These are the inbound leads that all of us are fielding and trying to convert.

For these landlords, AI does nothing for them. Or at least very little. When the house catches on fire in the middle of the night because the idiot tenant threw water on a grease fire, the landlord is still going to get the phone call. You and I both know that the tenant is going to be screaming “representative!!!” into the phone when the AI agent picks up. AI isn’t going to go out and take marketing photos and put a sign in the yard to get the house leased. AI isn’t going to walk the home and do an inspection. AI isn’t going to show up in court to process an eviction. That 35% landlord knows all of this and wants nothing to do with AI unless it’s being used by the professional property manager instead (which they all seem pretty comfortable with according to the latest PM Trends Report).

The landlords most likely to use AI are not the landlords you are doing business with. The landlords most likely to use AI are the ones who have been refusing to hire you all along.

The Real Threat to PMs From AI is Pricing Power

No, worrying about landlords using AI instead of using a PM is the wrong thing to be worried about in an age of AI. The real concern is how AI is going to impact pricing in our industry.

I can’t remember who first said it, but I know that I heard Dave Borden of Rentvine say it recently: “AI isn’t going to replace property managers; property managers who use AI will replace property managers who don’t.” This is the real risk that everyone needs to be concerned with.

While it’s still in the early stages, property managers are starting to embrace AI to a significant extent. While not many are vibe-coding yet like I am, quite a few are hiring companies like Super to handle their phone lines with AI, or Mason to handle their in-house maintenance coordination, or using MAX from Property Meld. These are the first glimpses of cost savings from AI.

But guess what? Bigger PM companies, and some smaller ones like my own, are already starting to dive deeper into AI use. Some big companies have hired teams of AI developers to build their own AI tech stack, even. The ultimate result of this is going to be radically improved efficiencies.

With big efficiency gains, there are only two possible outcomes. Either all of these companies are going to just sit on their much bigger profit margins, or they’re going to use those much margins as a competitive advantage to cut their pricing and snatch more market share. Because while the landlord using a professional PM doesn’t care first and foremost about cost, they’re certainly not going to pay 10% when they can get someone else to do the same job for 5%.

I feel dirty quoting Jeff Bezos, but he famously said “your margin is my opportunity.” In other words, if he can do it cheaper, he’s going to offer it for cheaper and eat into your market share. This is exactly what he did to kill bookstores and stop Walmart’s path to world domination. It will be no different in our industry with AI. Once some of these companies achieve massive cost savings from AI implementation, they are going to take those bigger margins and cut prices to steal your clients.

So the real threat here is not that landlords will use AI themselves and no longer need a property manager. The real threat is that your competitors will use AI to improve the efficiency of their operation and then use those savings to undercut your pricing. If you aren’t also implementing AI to be able to match their costs, then you’re going to be at a severe competitive disadvantage.

The Evolving Value Proposition of PM

If you were always competing on price in the first place, then this means things are going to become even more difficult for you going forward. Property management is going to become even more commoditized in the AI future than it already was, and it was already viewed as a commodity by most landlords, anyway.

No, going forward you’re going to have to find new ways to differentiate. If all of us have access to the same AI advantages, then one company’s systems won’t really be a big differentiator going forward. While many of us have boosted efficiencies with top notch systems design over the years to give us a leg up, AI will make it trivially easy for your competitors to achieve the same systems advantages.

Instead, we need to focus on areas where AI can’t be the advantage. Or, at least, differing uses of the AI creates different value props. For some landlords, the cheapest possible price while still gaining most of the peace of mind that they’re looking for will be the company that they go to. This is where I think the giant PM companies will have an advantage. They will be able to use large AI development teams to achieve the absolute biggest operational efficiency advantages and drive to the lowest costs. On the other hand, the boutique PM (and for our purposes here we’ll consider that any company below 1,000 doors) will be able to offer other differentiators. Do you want to offer more of an asset manager style of management? AI will help you to get rid of the task-based work so that your team can spend more time on this deeper level of management for your clients. Or do you have a client base that just loves a personal phone call? Your team will finally have the time to make those calls and build those relationships because they won’t be constantly focused on the never-ending list of tasks that they used to have to do themselves.

In the end, landlords who use professional property managers care most about trust, relationship, and peace of mind. If you properly deploy AI as that “boutique” property manager, then you will be able to drastically improve the customer experience in those areas.

Final Thoughts

The bottom line here is that AI simply changes the tools that are being used, whether by landlord or PM, and it does not change the core decision that the landlord is making on whether or not to hire a professional PM. That decision will continue to revolve around whether the landlord’s primary concern is cost savings and NOI, or peace of mind and a “set it and forget it” mindset.

Ultimately, AI can’t be the complete separation between landlord and tenant that your clients want. It can take on some of that burden, but not all, and only the self-manager cares about eliminating only some of the burden. Your clients and potential clients want all of that burden gone. I don’t think our industry is going anywhere anytime soon. But I can certainly see a future where a lot of stubborn PMs who refuse to embrace AI will be going away. Take that possibility seriously.

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