Three things to know about the Italy travel market

This article was written by Phocuswright. Click here to read the original article

Every year, luxury hotel operators search some version of the same question. "What are the best hotel marketing agencies?" "Which hospitality marketing firm should I hire?" "How do I choose a luxury hotel marketing company?" The search returns the same results. Roundup lists. Agency websites. Comparison articles written by agencies about themselves. A rotating cast of familiar names: technology platforms, creative agencies, email and CRM vendors, presented as equivalent options to evaluate on price, capability, and case study quality. The process feels like due diligence. It is not. The reason this process fails is not always that the wrong agency is selected from the list. It is that the list is answering the wrong question. The question is not which agency. The question is which layer. Hotel Demand Is Not One Thing Before any agency comparison is useful, a more fundamental question must be answered: at which layer of the demand stack does your specific problem live? Hotel demand does not arrive from a single source or at a single moment. It forms across a sequence of distinct stages, each governed by different economic logic and requiring different infrastructure to influence. The demand origin layer is where a traveler first encounters a property in a channel the hotel governs, where identity is captured and a direct relationship can begin before intermediary comparison defines the choice set. This is distinct from awareness. Brand advertising, editorial coverage, social media, and PR can all create familiarity and influence consideration, but they do not constitute demand origin unless they also capture identity and establish repeatable access before the traveler enters OTA comparison, Google Hotel Ads, or advisor-mediated booking flows. Awareness creates familiarity. Demand origin creates governable access. Most upstream marketing does the first. Very few systems consistently do the second. The conversion layer is where a traveler who has already discovered a property decides whether to book directly or through an intermediary. Website optimization, booking engine performance, direct booking incentives, and metasearch campaigns operate here. The retention and activation layer is where existing guest relationships are managed, deepened, and reactivated. CRM systems, loyalty programs, email marketing to past guests, and post-stay communication operate here. The brand and awareness layer is where a property's identity is built and distributed across media environments. Brand strategy, advertising, public relations, and content marketing operate here. This layer feeds consideration and can influence which properties enter a traveler's mental shortlist, but it does not by itself capture identity or establish a direct relationship the hotel controls. These layers are not fully interchangeable. A CRM cannot introduce your property to a traveler who has never heard of it. A booking engine cannot capture identity before OTA comparison begins. Brand awareness can create the conditions for demand origin but does not guarantee it. The Test That Separates Upstream Infrastructure from Upstream Influence One question separates demand origin infrastructure from demand origin influence: If you stopped paying tomorrow, would the relationships remain? Paid media stops. Brand campaigns end. PR cycles close. Influencer

Over the last year, there has been no avoiding the artificial intelligence (AI) conversation—from sweeping promises of enhanced productivity and digital transformation to the anxious contemplation of who (or what) might get left behind. And not just the measured, reasonable kind of concern that accompanies any technological shift, but something closer to existential dread: the idea that AI-fuelled job displacement is coming at a scale beyond what we’d normally accept as the inevitable cost of continued evolution. The hospitality industry certainly isn’t exempt from this discussion. If anything, as an industry with a somewhat notorious reputation for its resistance to new-age technology adoption and chronic staffing challenges, we find ourselves at the forefront of it. It’s increasingly easy to view the rapid adoption of AI as a Trojan Horse for the mass displacement of human staff in an industry built on personal connection. But that anxiety misses the mark. Hospitality doesn't have a staffing problem so much as a structural design problem. If you ask me, the implementation of AI isn't going to displace the workforce—it is going to reveal, and hopefully fix, an operating model that has been broken for years. Reframing the hospitality labour shortage story A March 2026 survey from the American Hotel & Lodging Association reports that more than half of respondents describe their properties as somewhat or severely understaffed. Labour costs remain one of the most-cited financial pressures facing operators, accounting for 30–45% of total hotel operating costs according to HVS (a figure that continues to climb). High turnover compounds the issue, with quits rate in accommodation and food services sitting at 4.8% in January 2026. Many operators are attempting to build stable service delivery on top of a routinely fragmented foundation. This is where I think the conventional narrative fails us. The industry isn’t just understaffed—it’s simultaneously understaffed and overstaffed, because it is structurally misallocated. When core systems don’t share a consistent operational truth, humans become the necessary integration layer. They re-key data from one platform into another, spend half their shift reconciling discrepancies that shouldn’t exist, and chase status updates across systems that should have been talking to each other years ago. Industry research published in 2025 revealed that only 24% of hotels report full integration of core systems across PMS, RMS, POS, booking engines, and distribution platforms. Just 34% manage guest data centrally. The remainder rely on disconnected systems, and 16% still use manual methods. That is not a labour shortage. It could be better described as a “faulty operating model” tax that the industry has been paying for so long it’s forgotten about the tab. Think tasks, not job titles The most useful lens for understanding AI’s impact on hospitality isn’t about which jobs disappear. It’s about which tasks move, and what that does to labour economics. Anthropic’s Economic Index is worth paying attention to here. According to their research, observed AI use leans more toward augmentation than full automation. In their initial analysis, 57% of AI-assisted tasks were augmented (the