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Only 6% of hotels appear in AI search results as travel industry grapples with legacy systems

Top Companies AI — US (2/2)56m ago
Only 6% of hotels appear in AI search results as travel industry grapples with legacy systems

Key takeaway

Travel industry leaders gathered at Skift's 2026 summit to discuss AI adoption—and revealed a paradox: while 95% of GenAI projects report zero ROI and only 6% of hotels appear in AI search results, the real bottleneck is not technology but organizational capability. Infrastructure modernization, clear AI ownership, and workforce training have become prerequisites for scaling AI, and companies treating agentic AI as a future technology are already falling behind competitors who have deployed it in production.

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3 Key Points

  • What happened

    The Skift Data + AI Summit 2026 convened executives from Hilton, Marriott, Booking.com, Priceline, and Air Canada to discuss AI adoption in travel. Key findings include that only 6% of hotels surface in AI search results, and 95% of GenAI projects report zero ROI. Leaders identified infrastructure modernization, agentic AI deployment, data ownership, and personalization as critical challenges.

  • Why it matters

    The travel industry is discovering that AI adoption requires more than technology—it demands workforce capability, organizational accountability, and legacy system overhaul. Marriott's Colin Coleman noted that 'the technology is not the hard part anymore' and that identifying problems worth solving is the true challenge. For hotels and travel platforms, being invisible to AI search is a direct revenue risk, since AI is becoming the primary entry point for travelers.

  • What to watch

    The report documents how budget, aspirational, and luxury travelers use AI differently and where they enter the funnel. Speakers from Sierra and Amadeus emphasized that agentic AI (AI systems that can act autonomously) is already in production at leading companies, meaning delay is becoming a competitive disadvantage. Priceline's CTO highlighted preference data as the next personalization layer, requiring customers to see and edit their own data as a trust requirement.

In Depth

The Skift Data + AI Summit 2026 brought together 15+ industry leaders to assess where travel AI stands after years of investment and hype. The conversation was sobering: while AI adoption is accelerating, the industry is discovering that technology deployment alone does not generate returns.

The most striking data point is that 95% of GenAI projects report zero ROI. This is not a technology problem—Marriott's Colin Coleman made clear that "the technology is not the hard part anymore." Instead, the bottleneck is organizational: companies lack the workforce expertise to identify and prioritize problems worth solving, and most pilot projects end without clear ownership and accountability. As Priceline's CTO noted, "the planning-to-building ratio has inverted itself," signaling that preparation now exceeds execution.

The second critical insight is distribution: only 6% of hotels surface in AI search results, a finding from Curacity's Cornell research that maps how different traveler segments (budget, aspirational, luxury) interact with AI at different funnel stages. This is a revenue problem because AI search is rapidly becoming the primary entry point for travel booking. Nick Slavin, CEO of Curacity, framed it plainly: "AI search is the new front door for travel."

Hilton and Air Canada's leaders stressed that modernizing core infrastructure is now a prerequisite, not a nice-to-have, because legacy systems cannot scale AI. Conversely, speakers from Sierra and Amadeus warned that waiting to deploy agentic AI is no longer viable—companies already running AI agents in production have moved past the pilot phase and established competitive moats. Richard Valtr, founder of Mews, captured the highest aspiration: "technology should help you deliver better welcomes and better goodbyes," a reminder that the purpose of AI in travel is human experience, not cost-cutting.

On personalization, Priceline's CTO highlighted a shift from behavioral data alone to preference data—what customers explicitly prefer—and stressed that letting customers see and edit their own preference profiles is now a trust requirement. Broader themes include unclear ownership (who is accountable once a pilot ends?), investor focus on revenue generation rather than cost reduction, and a recognition that the traditional use-case approach fragments organizations into point solutions. The summit's consensus was clear: the travel industry has entered a new phase where execution, accountability, and infrastructure capability matter more than technology innovation itself.

Context & Analysis

The Skift summit reveals a maturation crisis in travel AI adoption. While the industry has moved past asking whether AI matters—AI search is now the primary funnel entry point—it faces a harder question: why do most AI projects fail to deliver returns? The data suggests a systemic problem: companies have invested in GenAI without simultaneously modernizing the infrastructure, organizational structures, and talent pipelines required to operationalize AI at scale.

Hilton and Air Canada's emphasis on architecture modernization as a prerequisite, not a precursor, to AI signals that legacy hotel systems and distribution chains cannot support AI without foundational overhaul. Equally revealing is the gap between pilot and production: Sierra and Amadeus speakers warned that companies still treating agentic AI as a future capability are already behind those running agents in production. The implication is that the competitive window is closing—delay is now a strategic disadvantage.

The invisibility problem—only 6% of hotels in AI search—is both a data and a distribution issue. Curacity's research shows that travelers use AI differently by budget segment and decision stage, yet most hotels lack the connected data or distribution partnerships to reach them. Priceline's emphasis on letting customers see and edit their own preference data hints at a deeper shift: trust and transparency are becoming competitive differentiators, not nice-to-haves.

FAQ

Why do only 6% of hotels show up in AI search results?
The report indicates this is a distribution and integration problem: hotels lack the infrastructure and data connectivity to surface properly in AI-powered search engines. Curacity's research maps how travelers use AI search, revealing that early funnel visibility is critical to capturing bookings.
Why are 95% of GenAI projects reporting zero ROI?
The report attributes this to a mismatch between technology deployment and business outcome ownership. As Marriott's Colin Coleman stated, 'the technology is not the hard part anymore'—the challenge is identifying problems worth solving and establishing accountability for results once pilots end.
What are the biggest barriers to AI adoption in travel?
According to the summit, the hardest challenges are infrastructure modernization (legacy systems cannot scale AI), workforce capability (identifying solvable problems), unclear ownership (who is responsible for results), and distribution visibility (getting inventory into AI search). Technology itself is no longer the bottleneck.

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