Stop Using AI. Start Hiring It.

D. Brooke Pfautz
6/8/2026

A year ago, I stood on stage with JJ King and told a room full of property managers it was AI or die. I meant it. I still mean it.

But here’s the thing nobody wants to admit: In AI years, that session is already ancient history. The tools we demoed have been replaced twice over. The playbooks we shared have been rewritten. Half the vendors we name-dropped have pivoted, been acquired, or shipped a product that makes their old one look like a flip phone.

That’s AI. It moves. If you blink, you lose a quarter.

So, I’m not going to give you another “top 10 tools” list that’s stale before this gets published. I’m going to give you a frame that will still work two years from now, no matter what model or vendor is hot.

Here it is: Stop thinking about AI as a tool you use. Start thinking about AI as an employee you hire.

Every great general manager in our industry already knows how to onboard a housekeeper, train a reservationist, and promote a property manager. If you apply those same management muscles to AI, you’ll be light-years ahead of the operators still playing with ChatGPT like it’s a magic 8-ball.

Here are the seven reasons why—and what to do about each one on Monday.

1. It’s Smart Out of the Box. It Just Doesn’t Know YOUR Business.

Day one AI is like hiring a Harvard MBA who’s never set foot in a vacation rental. Brilliant. Articulate. Confident. And absolutely clueless about your owners, your properties, your brand, or the fact that Mrs. Henderson in unit 4B loses her mind if the welcome basket doesn’t have the gluten-free crackers.

That last part? AI doesn’t know it. And it never will, unless you tell it.

This is the single biggest mistake I see vacation rental managers making right now. They test AI for 10 minutes, get a generic answer, and conclude AI isn’t “ready yet.” AI isn’t the problem. Your documentation is.

The vacation rental managers who win in three years won’t be the ones with the best AI. They’ll be the ones with the best written-down brain. Every standard operating procedure, every owner preference, every brand voice guideline, every “this is how we handle that”—digitized, searchable, and fed to the AI.

Monday action: Pick one function—guest services, owner comms, listing QA, whatever hurts the most—and dump every playbook, script, and “tribal knowledge” doc into a single place. That’s your AI’s training manual.

2. It Can’t Do the Job Without the Keys.

You wouldn’t hire a housekeeper and not give her the keys to the van. But I watch vacation rental managers do the AI equivalent of this every single day.

They sign up for some fancy AI tool, ask it to “help with guest messaging,” and then don’t give it access to the property management software (PMS), the inbox, the booking data, or the guest history. Then they’re shocked when it spits out generic nonsense.

AI without access is a chatbot. AI with access is an employee.

Your new hire needs the keys. That means the PMS, the customer relationship managment tools, the inbox, the calendar, your docs, your ad platforms. All the places where the real work actually happens. The industry calls these “integrations” or “MCP” or a dozen other acronyms, but the concept is dead simple: If you want AI to do the job, give it the same tools a human would need.

Monday action: Take the function you picked in #1 and map out every system a human would touch to do that job. That’s your integration list.

3. It Needs Rules. Lots of Them.

Every new hire gets a handbook. AI needs one too—probably more than a human does, because AI is faster, more confident, and more willing to improvise in ways that will get you sued.

Without guardrails, your AI will cheerfully authorize a refund, rewrite your cancellation policy, or promise an owner something you can’t deliver. And it’ll do all of it in under three seconds.

You need the “not without a human” list before you need the “yes, go do this” list. Write down what AI can never touch—contracts, refunds over a certain dollar amount, owner disputes, anything involving legal or licensing. Then, and only then, define what it’s allowed to do autonomously.

This isn’t bureaucracy. This is the same thing you do when you tell a new hire, “If a guest asks for a refund, send it to me, not to the owner.” It’s just an employee handbook. For a very fast employee.

Monday action: Write your “AI handbook” for one function. Start with the bright lines—what it must never do. The rest you can figure out as you go.

4. It Needs Onboarding. Not a Prompt.

Here’s a fun experiment: Hire a new reservationist. Give her a one-sentence job description. Drop her into a busy Saturday turnover with no training. Watch what happens.

That’s what 90% of vacation rental managers do with AI. They type a one-line prompt, get a mediocre result, and blame the technology.

Real onboarding is not a prompt. It’s examples of great work. Examples of bad work. Walkthroughs. Role plays. The exact same stuff you’d do with a human hire—because AI learns the same way. Show it what good looks like, show it what bad looks like, and let it match the pattern.

This is where I see a 10-times gap between vacation rental managers who are winning with AI and ones who aren’t. The winners invest in onboarding. The losers type a prompt and quit.

Monday action: Before you give AI the task, gather five examples of excellent output and five examples of bad output. Feed both and watch what happens.

5. It Needs a Manager. Not a Committee.

Shared ownership is no ownership. AI initiatives die in committee the same way every other initiative dies in committee: slowly, politely, and with a lot of meetings.

Name one person per function who owns “the AI for X.” Reservations manager owns the reservations AI. Marketing lead owns the marketing AI. That person tunes it, reviews its work, expands its scope, and retires it when something better comes along.

This person is almost never IT. It’s the function lead. They know the work. They know what good looks like. They’re the natural manager.

And here’s the quiet truth about AI: The limiting factor in most vacation rental management operations isn’t the technology. It’s the absence of a named owner. Pick the owner first. The use case second.

Monday action: Before you assign an AI use case, assign an AI owner. No owner, no project.

6. It Learns From Feedback. But Only if You Capture It.

Your best employees got that way because you corrected them, and the correction stuck.

AI corrections don’t stick unless you make them. Every time your AI gets something wrong, and you fix it, you have a choice: Fix the output and move on, or fix the system. Only one of those scales.

The vacation rental managers pulling away from the pack are obsessive about this loop. Every correction goes somewhere—into an updated prompt, an updated process, an updated memory file, an updated training doc. The AI doesn’t just stop making that mistake; it stops making that class of mistake.

The vacation rental managers who aren’t pulling away? They correct the same AI mistake 500 times. And then complain that AI doesn’t work.

Monday action: Every time you correct the AI, ask one question: “Where does this lesson live so I don’t have to say it again?” If you don’t have an answer, build the place.

7. It Gets Promoted. If You Let It.

Here’s the part nobody talks about: AI has a career path.

You don’t start a brand-new hire on high-stakes owner negotiations. You start them on the basics. Reservations confirmations. Listing QA. Inbox triage. The stuff with high volume and low blast radius. And as they earn trust, you expand the scope.

AI is the same. Start it on draft replies, not auto-sends. Start it on internal summaries, not external comms. Start it as a junior analyst, not a senior strategist. Then, as the work gets consistently good, promote it. First drafts become full sends. Single tasks become whole workflows. Workflows become decisions.

The vacation rental managers who are crushing it right now aren’t using more advanced AI than you. They’re just further along the promotion curve. They hired AI 18 months ago as an intern, and it’s now running a department.

Monday action: Map a “career path” for one AI role. What does junior, mid-level, and senior look like for this function? Where on that path is your current deployment? What’s the next promotion?

The Technology Is Here. The Bottleneck Is Management.

Everything I just laid out sounds like work. That’s because it IS work.

But it’s not net-new work. Every vacation rental manager already knows how to onboard, train, supervise, and promote an employee. You’ve been doing it your entire career. The job now is to apply those same reps to AI.

Here’s what I’ll promise you: Do this for 90 days—pick one function, document it, give AI the tools, write the rules, onboard it properly, assign an owner, close the feedback loop, and promote it thoughtfully—and you will be further ahead than 90% of the vacation rental industry. I’m not exaggerating. The bar is that low because almost nobody is doing the management work.

A word on vendors, while we’re here.

There is a tidal wave of AI tools flooding our industry right now. Some of them are excellent. Some of them are vaporware with a chatbot bolted on. The signal I’d watch for: Can a normal vacation rental manager actually use it, or does it require a PhD, a six-figure consultant, and a three-month implementation? The vendors who win in this space won’t be the ones with the fanciest demos. They’ll be the ones who make AI dead simple to deploy—the ones who do the hard technical work so you don’t have to.

But pick whichever vendor you want. The point isn’t the tool. The point is the frame.

Stop using AI. Start hiring it.

And then—like any great hire—give it the context, the keys, the rules, the onboarding, the manager, the feedback, and the runway to grow.

Your next best employee is already here. They just need you to onboard them.

---