Hotels have always talked about personalization.
AI can make it real.

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For the last decade or so, personalization has been talked about a lot by hoteliers, and it always appears on the list of top trends in the hospitality marketing world.

But if you’ve stayed in hotels, you know it’s not really true. Most of what passes for personalization is superficial or broken. Maybe the folks at the front desk remember your name, or they send a follow-up offer that sort of matches your last stay.

But most of the time guests still get the same templated emails, generic offers, and front desk staff asking the same questions.

As time goes on, personalization has become more myth than method. It’s a really nice idea. But one our industry has struggled to deliver, especially at scale.

This is where AI could change things.

The personalization problem

The idea behind personalization is really simple:

Tailor the guest experience to match individual needs, preferences, and things they like doing. Make each guest feel understood. Make their stay feel easy and effortless.

But the execution can be hard.

For example, we were working with a boutique hotel in Seattle 15 years ago. The front desk staff would research VIP and C-suite guests ahead of their stay, tracking down photos of their families or hobbies and print them out to display in the room.

The intention was clear: make the guest feel seen. But it walks a fine line.

Sometimes it came across as thoughtful. Other times, it feels creepy. And that’s the paradox of personalization: it’s so easy to get it wrong.

Hotels are often full of good intentions, but they’re usually blocked by legacy systems, disconnected data, high staff turnover, and a reliance on guest personas instead of real behavior.

Most “personalized” experiences still rely on:

• Manual processes that don’t scale very well
• Segmented lists that confuse demographics for desires
• Incomplete profiles that live across multiple systems
• Surface-level touches that feel more automated than thoughtful

Perhaps most importantly, a lot of brands lack the infrastructure or internal clarity to operationalize personalization in a meaningful way.

This comes down to two things:

1. Most hotels (and even a lot of large travel brands) are working with tech stacks that weren’t built for modern personalization. Problems like data silos (systems that don’t talk to each other), no way to see a unified view of the guests, tools that aren’t aware of context, and legacy systems that don’t plug into new AI powered tools without a lot of (expensive) customization.
2. There is a lack on clarity on using these tools effectively. There might not be a shared definition for personalization. Departments are not sharing information. There’s a lack of training with existing or new tools. The brand or experience strategy isn’t always clear.

Where AI creates leverage

AI doesn’t just have the potential to improve personalization. It can redefine what’s possible.

Large language models and machine learning tools can synthesize data from multiple sources, detect any patterns with guests, and generate responses, offers, or experiences in real time.

This goes beyond efficiency and makes the data more relevant.

Here’s what that looks like in practice:

• Unified guest profiles – AI can pull data from the PMS, CRM, feedback surveys, the website, and even email interactions to build a comprehensive view of each guest.
• Predictive preferences – Based on past behavior and similar guest profiles, AI can anticipate needs before a guest makes them known. For example recommending early check-ins, upgrades, or nearby experiences they might be into.
• Dynamic content – Websites, email campaigns, and digital signage can update messaging based on location, weather, seasonality, or user/guest signals in real time.
• Contextual chats – AI-powered chatbots can now remember past interactions, adapt to tone, and guide guests to exactly what they’re looking for without handing them off to a person every time.

Keep in mind that this stuff is not theoretical. Booking.com, Airbnb, and other major platforms have been using AI to fine-tune experiences in real time for a while now. There are brands piloting AI-enhanced concierge tools. Email platforms are using intent-based triggers instead of rule-based automation.

Where the human side still matters

It’s important to point out that AI doesn’t replace traditional hospitality. But it has the power to amplify it.

The things that makes a great stay memorable will still come from human interactions. But AI has the potential to remove friction that gets in the way. It might ensure staff aren’t repeating tasks that software can do better anyway.

This would free them up to focus on the human things that LLMs are not good at: empathy, judgment, and presence.

All of this also highlights a crucial point: AI is only as good as the brand that it supports.

A brand that doesn’t know what it stands for, how it wants to sound, or what kind of experience it wants to create can’t expect AI to fix it.

Sure, AI can help you move faster, respond quicker, and personalize content. But it still needs something real to work with. Without that foundation, AI will only make the gaps more visible. That’s why clarity around brand, tone, and guest experience is so important.

For brands that already do this well, AI will be an accelerant. It’ll help them scale the things that already makes them great.

Implications for travel & hospitality brands

We’re all feeling the AI hype lately, but it does feel like it’s moving from being a novelty to something that’s here to stay.

So what does it all mean, and where do we go from here?

1. The gap between brands will get wider. Early adopters have an opportunity to take a lead by offering smart, seamless, and memorable experiences for guests. Others will fall behind, sticking to tools that are outdated, and messages that don’t resonate.
2. Guests will expect more. As personalized experiences become the norm in retail, entertainment, and travel ecosystem, guests will expect the same fluidity and relevance across the entire hospitality journey, from inspiration to post-stay follow-up.
3. Marketing will feel less like a loud ad, and more like a helpful guide. Instead of campaigns built for segments, teams will start designing systems that respond to individuals in context. This means less planning, more listening. Less pushing, more “shaping”.
4. Teams need to work together. For AI to work really well, marketing, guest services, technology, and leadership need to be on the same page. When teams (and their data) are disconnected, personalization breaks down quickly. AI works best when everything and everyone is connected and talking to each other.

So where do you start?

There are very few brands that are ready to deploy AI at scale right now. That’s okay. What matters is starting with intent.

We’d suggest some practical first steps:

• Audit your data – Map where your guest data currently lives, and make a determination about how clean, connected, and actionable it is.
• Identify high-friction areas – Look for places where guests drop off, where staff repeat themselves, or where personalization is breaking down.
• Start small – Experiment in small places like using dynamic email content, improving your chatbot (if you’re using them), or behavioral retargeting with your ads.
• Define your voice – Ensure your brand has a clear tone, perspective, and purpose. AI can copy stuff, but it can’t define the tone or feeling of your brand.

For many years now, personalization was a promise the hospitality industry struggled to deliver. Now that we have AI, we can bring it closer to reality; not just in high end or select experiences, but much broader and at scale. The brands that succeed will be the ones who use AI not to replace the personal and human, but to enhance it. Because when a stay feels effortless and “just right”, it will feel like they already knew you were coming.

Curious how this applies to your business? Let’s chat.