CLUSTER 1 — AI Visibility & Discovery

The "ask and book" layer is becoming real infrastructure

The defining shift of the past month is that AI discovery is moving from a theoretical future state to live distribution infrastructure. SiteMinder is connecting its hotel distribution platform to AI booking channels using Model Context Protocol (MCP), with both supplier-direct and intermediary channels now supported. Both pathways rely on MCP, which acts as a standard layer connecting AI models to live data and booking systems.

SiteMinder is expanding its platform to support AI-driven direct booking and AI-powered OTA pathways, with DirectBooker as the inaugural AI demand partner. The Demand Plus solution is being extended into AI-driven conversational environments including platforms such as ChatGPT and Claude, enabling travellers to discover hotels through curated recommendations, view live rates and complete their reservation on the hotel's own booking page. Simultaneously, Wyndham Hotels & Resorts launched a native ChatGPT app on May 6, marking the first native hotel app from a major economy and midscale franchisor in the U.S. available within OpenAI's ChatGPT — allowing users to explore approximately 8,400 hotels via map-based navigation, amenity filters and interactive hotel cards. Meanwhile, Cendyn launched AI Connect, a new distribution channel that pushes hotel availability, rates, and inventory directly into AI search platforms, ensuring a hotel's direct rates and availability can be surfaced organically when travelers use AI trip planners. The BCG/NYU SPS research frames the stakes clearly: AI-based assistants aggregate and weigh content from a broader universe of sources and surface only a fraction of recommendations — meaning hotels will compete for inclusion in a traveler's AI-generated shortlist, with prominence tied to new fee and placement models.

Strongest sources: SiteMinder / Skift, Wyndham PR Newswire, BCG AI-First Hotels

CLUSTER 2 — Data & Integration

The PMS is consolidating as the AI data layer

Mews launched Mews Business Intelligence (Mews BI) on April 15, a native data and analytics product delivering AI-powered insights for hoteliers built directly into the Mews operating system — available automatically to all customers with Mews Analytics or on the Enterprise package. The launch is notable because it removes the need for a separate BI tool. At the Adara Hotel in Whistler, using the room performance dashboard to understand occupancy and ADR by room type drove a 20% increase in 2-bedroom suite occupancy, threefold winter revenue from 1-bedroom suites, and an 11% total revenue uplift during the spring shoulder season with a $50 higher ADR. This is operator-verified, specific outcome data — rare in vendor case studies. The broader structural issue: nearly half of hoteliers report difficulty accessing critical information, and many spend significant time stitching together reports to see a complete picture of the business — data and system fragmentation are the primary barriers to AI scaling.

AI is delivering where it's closest to daily operational pressures — guest messaging, digital check-in, revenue management — but cannot compensate for scattered data or disconnected systems. If a hotel's underlying systems are fragmented, AI will only make operational problems more visible.

Strongest sources: Mews Press Release, Hotel Dive, Abode Worldwide / WiT

CLUSTER 3 — Vendor Moves

Enterprise brands standardise; challengers embed AI natively

Choice Hotels is standardising on AgentCore, which the company describes as an AWS-powered enterprise platform providing a secure, reusable foundation for intelligent agents capable of retrieving trusted information and automating workflows. Choice said it is the first major U.S. hospitality provider to standardise on AgentCore.

Wyndham's AI-powered tools in its call centres have aided in reducing average handle times by 7% — saving both guests and franchisees thousands of hours — while simultaneously helping improve agent training and conversion rates.

Stayntouch launched a new AI-powered guest messaging tool fully embedded in its cloud PMS, unveiled at ITB Berlin, positioning it as a way to save time, reduce labour costs, and turn every guest interaction into a revenue opportunity.

Stayntouch claims the tool automates 95% of guest requests and saves over 15 minutes per booking. On the restaurant side, Olo unveiled a new customer-facing app at RLC designed with an AI future in mind — one where chatbots and agents find and order food on customers' behalf. Every menu item available will be added to a universal database that AI can search, positioning Olo as the first call an AI agent makes when a user orders food in an area.

Strongest sources: Hotel Technology News / Choice Hotels, Hospitality Net / Stayntouch, Restaurant Business / RLC

CLUSTER 4 — Operational AI

Voice AI in QSR crosses the threshold; kitchen AI delivers verifiable outcomes

Dairy Queen recently announced plans to roll out voice AI to more locations, and Taco Bell President Meg Farren revealed at RLC that drive-thru AI is now in about 600 units, or more than 7% of the system.

Taco John's voice bot (Olena) is able to handle between 90% and 93% of orders without an employee having to step in across 45 locations — though the system was removed from three smaller-community locations where customers and staff didn't buy in. That failure case is signal: voice AI adoption is cultural as well as technical. In the kitchen, Sodexo reports reducing recipe development time from three days to half a day using AI for seasonal planning and trend analysis — and AI-powered menu engineering is delivering 10% to 15% profit increases by identifying which items to feature, reprice or remove. On the hotel side, BCG reports 20% faster room cleaning and preparation through AI-synchronized housekeeping schedules, and AI-enabled waste-tracking tools yielding roughly 50% food waste reduction within eight months.

Strongest sources: Restaurant Business / RLC, Restaurant Business / AI Menus, BCG AI-First Hotels

CLUSTER 5 — People & Skills

The AI skills gap in hospitality is structural, not cyclical

Only 2.9% of full-time employees in travel and tourism possess AI skills, compared with 21% in tech and media — although AI-skilled hospitality roles are growing nearly 5% year over year.

Many hotels will never return to pre-pandemic staffing levels, making it critical to "up-level" existing staff by helping them learn faster, adapt to new roles and deliver better guest experiences with fewer people. Modern AI training systems understand intent, adapt content in real time based on role and experience level, and learn which interventions reduce errors and escalations. The shadow AI problem compounds this: the most sensitive operational data in a hotel is the most likely to be shared with a public AI tool that has no data residency controls, no enterprise agreement, and no deletion guarantee. What gets pasted into public AI tools by well-meaning hotel staff includes VIP preference profiles containing named medical and dietary requirements.

Shadow AI has a more dangerous cousin: the Shadow Agent — where a shadow agent can take action, sending emails, creating tickets, modifying records, without management visibility.

Strongest sources: BCG AI-First Hotels, Hospitality Net / Terence Ronson, PhocusWire / Cloudbeds

CLUSTER 6 — Governance & Security

AI governance is now a CISO-level mandate in retail/hospitality

The 2026 RH-ISAC CISO Benchmark Report, based on insights from more than 200 CISOs in the retail and hospitality industry, reveals that 71% of respondents identified AI as a primary concern, citing risks such as data leakage, insider misuse, and insufficient governance controls.

Seventy percent of CISOs reported that AI has been added to their scope of responsibility. On the threat side, the average cost of a data breach in hospitality was $3.86 million in 2024 , and ransomware groups are moving away from mere encryption towards disrupting operations — hacking property management systems, door locks, HVAC controls and booking integrations. The EU AI Act is the regulatory forcing function: the EU AI Act's high-risk provisions become fully enforceable in August 2026 and carry fines of up to €35 million or 7% of global annual turnover for non-compliance.

Strongest sources: RH-ISAC / IANS CISO Benchmark Report, Hospitality Net / Ronson on Shadow AI, Nomadix / Hotel Cybersecurity

CLUSTER 7 — Funding & M&A

$1B+ milestone crossed; PMS and AI-led platforms capture the largest share

Forty global hospitality technology startups raised more than $1 billion in the past year, with property management systems and artificial intelligence-led platforms attracting the most investment, according to Abode Worldwide's Hospitality Tech Investment Index 2026.

That shift was most visible in a 90-day burst between December 2025 and February 2026, when the sector's three biggest raises landed almost back-to-back: Mews ($300 million), Kindred ($125 million across two simultaneous rounds) and Limehome (€75 million). Seven PMS companies raised a combined $408.1 million — more than any other category.

Investors are concentrating capital in platforms that hospitality businesses increasingly depend on every day, especially PMS and AI-led systems that unify operations, improve automation and strengthen the data layer.

More than half of funded companies were founded after 2020, and 2023 alone accounts for ten companies — the largest founding cohort in the data.

Strongest sources: Abode Worldwide / Hotel Dive, Hospitality Net / Abode, WiT / Abode interview