A year can make a pretty big difference in AI.
At the 2025 Destination AI Conference, much of the conversation centered around experimentation and what hospitality problems we should actually use AI to solve.
In 2026, Destination AI brought roughly 500 hotel brand, ownership, management and technology leaders to Washington, D.C., and the conversation had noticeably shifted. The industry is moving from piloting AI to actually running it. But we’re also learning that the technology itself may be the easy part.
My biggest takeaway from Destination AI 2026: AI is no longer just another technology hotels need to understand. It is becoming part of the hotel distribution ecosystem.
AI Is Changing Search. But SEO and Your Website Aren’t Dead
Last year, we talked about GEO and the need for hotels to become machine-visible. At the time, less than 1% of hotel website traffic was coming from LLMs.
Traffic, however, may have been the wrong metric to watch.
More than half of U.S. leisure travelers are now using AI channels to help plan trips. Visitors arriving through AI channels reportedly have a 45% lower bounce rate, and Hilton reported that bookings through its AI planning experiences convert a few percentage points higher.
That changes the question from:
“How much traffic is ChatGPT sending my hotel?”
To:
“Is my hotel being recommended when someone asks AI where they should stay?“
And despite predictions that AI will kill SEO or hotel websites, the opposite may be true. Your website is becoming both a conversion channel for humans and a source of truth for machines.
AI engines need accurate information about room types, amenities, restaurants, pools, parking, pet policies and destination experiences. That information also needs to be consistent across your website, structured data, local listings, review platforms and other sources AI engines use.
Traditional SEO measured rankings, impressions, clicks and sessions. AI adds a new layer: Is your hotel being found, accurately understood and recommended for the right traveler and the right reasons?
Measuring AI Is Getting More Sophisticated
Hotels are clearly using more AI, but proving its financial impact is still a work in progress.
Only 24% of hotel companies say their AI investment has paid for itself overall, with another 28% saying it is still too early to tell. Despite that uncertainty, not a single respondent plans to cut AI spending over the next 12 months, and 37% expect to increase spending by more than 10%.
Even more telling is where AI is actually having an impact. More than 80% of leaders say AI has improved their own work, and 90% say it has improved time spent on routine tasks. But only 15% say AI is making a difference for frontline teams.
The strongest ROI examples weren’t vague productivity claims—they were tied directly to the P&L. Owners cited AI-driven labor scheduling producing 200–300 basis points of margin improvement, while occupancy-aware HVAC technology reduced guest-room energy consumption by as much as 45%, or approximately $54,000 annually for a 250-room hotel.
Saving an employee an hour doesn’t automatically create an hour of financial value. Hotels need to establish a baseline and measure whether AI ultimately reduces costs, increases revenue, improves productivity or creates a better guest experience.
For marketing teams, the same standard should apply. Faster content creation or automated reporting may demonstrate efficiency, but the real question is whether those efficiencies ultimately improve visibility, conversion, direct revenue or marketing costs.
AI Makes Clean, Normalized and Timely Data Even More Important
Perhaps the least glamorous, and most important, AI takeaway was data.
Only 42% of hotel leaders surveyed said they were confident their data was ready for AI. Change management, data quality and systems integration were cited far more often as barriers than limitations of the AI models themselves.
Simply having more data isn’t the answer. Transaction codes can mean different things at different hotels, information lives across disconnected systems, and AI can confidently amplify bad data just as easily as good data. Before hotels layer AI on top, the data needs to be clean, normalized, timely and trusted.
Driftwood Capital’s Carlos Rodriguez made another important distinction: the value is in orchestration and unique data, not another repackaged dashboard. Owners also made it clear that they need real-time information rather than making decisions from reports that are already two weeks old and they don’t want to pay for a management company’s technology stack to get it.
For marketers, the implications are significant. Paid media, website analytics, CRM, revenue, reviews, attribution and other commercial data can’t remain isolated if we expect AI to identify meaningful patterns across the customer journey.
Key Takeaways from Destination AI 2026
Beyond the bigger themes, a few comments and statistics stuck with me:
- Don’t start with AI, start with a business problem. Hmmm, sounds like the discussion from Female Founders in Hospitality AI panel from April 2026.
Don’t start with:
“We need an AI strategy.“
Start with:
“What repetitive, expensive or difficult marketing problem are we trying to solve?“
- AI’s benefits are still concentrated at corporate. More than 80% of hotel leaders say AI has improved their own work, but only 15% say it is making a difference for frontline teams. Corporate roles are being redefined at nearly five times the rate of frontline roles—19% versus 4%.
- Regulation isn’t waiting for the technology to mature. Federal legislation remains stalled, but hotels already face exposure around algorithmic pricing, chatbots and AI used in HR. In the EU, disclosure requirements for AI interactions and AI-generated content took effect August 2, 2026.
- “Today’s AI is the worst AI you’ll ever use.” Harman Singh Narula of Canary Technologies followed that with an equally important point: anyone who isn’t experimenting is already falling behind.
- Can we all agree chatbots aren’t the talk of the town anymore? Conversational AI is becoming the settled use case: Canary reported that adopters are automating roughly 90% of guest responses across SMS, email, voice and web chat. The conversation is already shifting from AI answering questions to AI actually taking action.
- We still don’t know which technical standards will win. MCP and NLWeb are emerging as default protocols for agent readiness, while ChatGPT and Google commerce formats are still being tested. No standard has settled yet.
- And consumers aren’t quite ready to hand over the keys. Most conference attendees still hadn’t allowed an AI agent to complete a purchase. When asked who would choose the hotel five years from now, “human in the loop” won and trust fell further when the scenario involved two AI agents negotiating with each other.
From AI Experimentation to AI Execution
Last year’s Destination AI Conference felt like an industry trying to figure out what AI might mean for hospitality.
This year felt different.
Hotels are putting AI into real workflows, measuring its impact and beginning to rethink how travelers discover, evaluate and eventually book hotels. At the same time, only 24% of hotel leaders surveyed said their AI investment has paid for itself overall. Yet not one respondent said they planned to reduce AI spending over the next 12 months.
So the hype certainly hasn’t disappeared. But neither has AI.
The conversation is no longer about whether hotels will use AI. It’s about where it actually creates value and whether hotels can measure it.