The global hospitality sector is currently witnessing an unprecedented influx of artificial intelligence technologies, yet according to Richard Valtr, the founder of the cloud-native property management system Mews, the industry is suffering from a profound "lack of imagination." Speaking at the International Hotel Investment Forum (IHIF) in Berlin, Valtr expressed significant disappointment regarding the current trajectory of AI development within the travel and lodging space. His critique centers on the observation that both emerging tech entrepreneurs and established hotel groups are largely reacting to the AI trend as a defensive measure rather than fundamentally reimagining the guest experience or operational efficiency. Valtr’s perspective is informed by his position at the helm of Mews, a platform that currently serves over 15,000 hotel properties across 85 countries, providing him with a high-altitude view of how digital transformation is—or isn’t—taking hold in the global market.
The Critique of Current AI Implementation Strategies
At the heart of Valtr’s argument is the belief that the hospitality industry is currently obsessed with the "how" of AI while neglecting the "why." Most current AI applications in the sector are focused on improving search functions or automating basic customer service queries through chatbots. Valtr argues that these are "tick-box strategies"—implementations designed more to satisfy stakeholders that a company is "doing something with AI" than to provide a meaningful evolution in service.
According to Valtr, the industry is failing to address the fundamental reason a consumer chooses to engage with a hotel brand. While a more efficient search tool might help a guest find a room, it does little to build brand loyalty or redefine the nature of the stay itself. The critique extends to the venture capital and startup ecosystem, where Valtr noted a repetitive nature in the products being pitched to hotel groups. He suggested that many entrepreneurs are simply porting general AI solutions into the hotel space without understanding the nuanced, human-centric nature of hospitality.
Contextual Background: The IHIF Berlin and the State of the Industry
The International Hotel Investment Forum in Berlin is widely regarded as one of the most influential gatherings for hotel owners, developers, and technology providers. The 2024 summit was dominated by discussions regarding the recovery of RevPAR (Revenue Per Available Room) to pre-pandemic levels and the mounting pressure to integrate automation to combat labor shortages.
In this environment, AI is often presented as a "silver bullet" for the industry’s labor woes. However, the atmosphere at IHIF also reflected a growing skepticism among some tech-forward leaders. While the broader market is bullish—with projections from organizations like McKinsey suggesting that generative AI could add between $2.6 trillion and $4.4 trillion in value to the global economy annually—Valtr’s comments highlight a disconnect between macroeconomic potential and sectoral execution.
Historically, the hospitality industry has been slow to adopt new technologies. The transition from legacy on-premise servers to cloud-based property management systems (PMS) took over a decade and is still ongoing for many large legacy chains. Valtr’s frustration stems from the fear that the industry is repeating past mistakes: layering new technology on top of outdated processes rather than using the technology to eliminate those processes entirely.
A Chronology of AI Adoption in Hospitality
To understand the current state of "disappointment" cited by Valtr, it is necessary to look at the timeline of how AI has permeated the sector over the last decade:
- 2014–2018: The Era of Predictive Analytics. Hotels began using basic machine learning for revenue management, adjusting room rates based on historical data and seasonal demand.
- 2019–2021: The Rise of Basic Automation. Driven by the COVID-19 pandemic and the need for contactless service, hotels accelerated the use of mobile check-ins and basic rule-based chatbots to handle repetitive guest requests.
- 2022–2023: The Generative AI Explosion. The public release of Large Language Models (LLMs) like ChatGPT led to a frantic rush. Every major travel tech provider announced "AI assistants" for booking or itinerary planning.
- 2024: The Strategic Plateau. As noted by Valtr at IHIF, the industry has reached a point where the novelty of AI has worn off, revealing a lack of deep integration. The focus remains on the "search" phase of the guest journey, leaving the "stay" and "post-stay" phases largely untouched by meaningful AI innovation.
Supporting Data: The Digital Divide in Lodging
Data from various industry reports supports the notion that while AI investment is high, the focus remains narrow. According to a 2023 survey by Skift Research, nearly 70% of travel executives stated that AI would be "very important" to their business over the next five years. However, when asked about specific applications, the vast majority cited "marketing personalization" and "customer service automation."
Furthermore, Mews’ own growth data illustrates the scale of the market that remains underserved by advanced technology. Managing 15,000 hotels across 85 countries, Mews has seen a significant uptick in demand for integrated ecosystems where the PMS acts as a "central nervous system." Despite this, many hotels continue to operate with fragmented tech stacks where the AI tool for the front desk does not communicate with the AI tool used by the revenue management team.
In the broader financial context, the "hospitality tech" sector saw a cooling of venture capital in 2023 compared to the 2021 peak. This has led to a more conservative approach among startups, which Valtr suggests is contributing to the "unimaginative" products currently flooding the market. Entrepreneurs are opting for "safe" AI implementations that are easy to sell to risk-averse hotel boards, rather than pursuing disruptive innovations that could change the fundamental business model of a hotel.
Official Responses and Contrasting Industry Perspectives
While Valtr’s critique is sharp, it is not the only viewpoint within the industry. Representatives from major hotel chains such as Accor and Marriott have previously defended their incremental approach to AI, citing the need for "human-centric hospitality."
A spokesperson for a major European hotel group, speaking on the sidelines of IHIF, noted that the primary challenge is not a lack of imagination but the complexity of legacy infrastructure. "It is easy for a cloud-native company like Mews to advocate for radical change, but for a global brand with 5,000 properties running on different legacy systems, AI must be integrated in phases to ensure operational stability," the representative stated.
Conversely, some AI startups argue that the "tick-box" approach is a necessary entry point. By solving small, tangible problems like automated late check-out requests or translation services, they build the trust required to eventually implement more ambitious projects, such as AI-driven dynamic physical space allocation or hyper-personalized room configurations.
Analysis of Implications: The Risk of Commodity
The broader implication of Valtr’s critique is the potential "commoditization" of the hotel brand. If every hotel group uses the same AI search tools and the same basic chatbots, the digital interface of a luxury brand becomes indistinguishable from that of a budget brand.
If hotels continue to focus only on "how" guests search, they risk ceding even more power to Online Travel Agencies (OTAs) like Booking.com and Expedia. These platforms have significantly larger R&D budgets and more data to train their AI models. Valtr’s warning suggests that if hotels do not use AI to enhance the unique, physical, and emotional aspects of their brand, they will become nothing more than inventory providers for the tech giants.
True innovation in hospitality AI, from the Mews perspective, would likely involve:
- Anticipatory Service: Moving beyond responding to requests to predicting guest needs before they are articulated, based on a deep understanding of guest behavior across a global network.
- Operational Autonomy: AI that doesn’t just "assist" staff but manages complex logistical chains, such as housekeeping schedules and energy consumption, without human intervention.
- Redefining the Value Proposition: Using AI to move away from selling "rooms by the night" toward selling "experiences by the hour" or "workspace as a service," reflecting the changing nature of modern travel.
The Path Forward for Hospitality Tech
The comments made by Richard Valtr in Berlin serve as a call to action for the next generation of hospitality entrepreneurs. For the industry to move beyond its current "disappointing" phase, a shift in mindset is required. Instead of asking how AI can fit into existing hotel structures, the industry must ask how the hotel of the future should be built from the ground up with AI as a foundational element.
Mews, having recently secured significant funding to expand its footprint, appears positioned to lead this charge, but the success of this vision depends on the willingness of hotel owners to embrace risk. As the IHIF discussions concluded, the consensus remained that while the technology is ready, the industry’s strategic framework is still catching up. The coming years will determine whether AI remains a superficial "tick-box" feature or becomes the catalyst for the most significant transformation in hospitality since the advent of the internet.
For now, the critique stands: the industry has the tools, but it is still searching for the imagination to use them effectively. Valtr’s assessment highlights a critical juncture for hospitality—a choice between incremental improvements to the status quo and a radical reimagining of what it means to provide a home away from home in the digital age.
