Travel & Hospitality Tech M&A: Agentic AI Is Splitting the Buyer Market

In the last twelve months, the distribution layer for travel has rewired itself in ways founders are still catching up to. OpenAI opened ChatGPT's interface to Expedia and Booking.com, reaching roughly 800 million weekly users through natural language conversations. Hilton followed in early 2026 with its own AI Planner, joining IHG, which had launched a Google Cloud-powered trip planner built on Vertex AI and Gemini models in 2024. Phocuswright reports that 56% of US leisure travelers used AI for at least one trip in the prior 12 months, more than double the level recorded in 2024.

For travel and hospitality software founders, this is not a future-state question. Buyers are already pricing the difference between platforms where AI is foundational and those where it is layered on top, and in our recent conversations with strategic acquirers and growth investors, that distinction increasingly determines whether they engage at all.

A buyer thesis that changed almost overnight

Large language models have been available for several years, but the recent leap is in agentic capability: software that can take action on a user's behalf rather than simply generate text. In travel, that means platforms that can book accommodations, rearrange itineraries, manage loyalty redemptions, and handle exceptions like cancellations without human intervention.

In our recent conversations with founders and acquirers, the shift from AI as a productivity tool to AI as something closer to a teammate has moved from talking point to live diligence question. That is consistent with what the broader market is reporting: PwC's 2026 US Deals Outlook describes agentic AI use cases accelerating across rebooking, dynamic pricing, and digital concierge functions, and Phocuswright's most recent executive survey found that 61% of travel businesses are experimenting with or scaling agentic AI today.

The market activity is following the thesis. Through 2025, we saw buyer engagement build through the back half of the year, and the public data points in the same direction: PwC reported third-quarter 2025 hospitality and leisure deal volume was roughly 40 percent higher than the first- and second-quarter averages, with corporate acquirers concentrating on assets that expand loyalty ecosystems, enhance personalization, and deepen cross-channel engagement. Skift tracked more than 40 travel tech M&A deals in a single three-month stretch in 2025.

The litmus test: would the product still work without AI?

When founders ask us what separates an AI-native platform from one with AI features, our answer is to apply a straightforward test. Remove the AI capability from the product entirely. If the value proposition collapses, the product is genuinely AI-native. If the core workflow still functions and the AI was a chat layer or an add-on, it is not.

This matters because buyers are running the same test. In our experience, the giveaway often shows up in a product demo. AI features appear prominently on one screen and then disappear two screens later. Another tell is the pricing structure. When a company charges separately for its AI capability, that signals AI is a feature rather than a foundation. Buyers are also factoring in when a business was founded. A platform built ten years ago is unlikely to be AI-native in its architecture today, even with AI features added since.

Why the valuation impact is binary, not incremental

This is where the conversation diverges from how the market typically frames AI premiums. In our view, the impact of agentic AI on travel and hospitality tech valuations is less about a specific multiple uplift, such as 10x revenue rather than 5x, and more about whether investors will submit a competitive bid at all.

For genuinely AI-native platforms, investors lean in because they see a business of the future, one they want to own. For platforms with AI as a feature rather than a foundation, and without a clear pathway to agentic capability, the question becomes whether the business sits in a defensive posture against AI-native competitors. That perception shapes process competitiveness more than any single multiple, and buyers in this vertical are no longer treating AI as an optional feature set.

That said, AI capability does not override the fundamentals. Scale, growth, and retention still matter. A platform with elegant agentic architecture but weak customer adoption is not a more compelling investment than one without the AI story. Strong gross revenue retention remains a core component of valuation, and as we have discussed in our framework on the SaaS metrics that influence travel and hospitality tech valuation, buyers continue to weigh those KPIs heavily.

Options for founders who are not AI-native today

There is still a market for these platforms, particularly those with strong gross revenue retention and a defensible position that supports a credible pathway to integrating agentic capability over the next year or so. The realistic options come down to building, partnering, or selling, and the right choice depends on the founder's appetite for the product investment required.

For founders who are not willing or able to make that investment, considering a sale before the discount widens is a legitimate strategic decision. As travel and hospitality customer experience trends continue to favor personalized, agentic interactions, the gap between platforms that can deliver and those that cannot is likely to compound rather than narrow.

Know where you stand

Heading into 2026, we expect M&A activity in hospitality and leisure to continue building as AI moves from experimentation to scaled deployment, a view consistent with PwC's outlook for the sector.. For founders whose platforms are well-positioned, that creates a window. For those whose platforms are not, the same window may close faster than expected.

In our experience, the founders who achieve the strongest outcomes are the ones who walk into a conversation with buyers knowing exactly where their business sits in the current market, both from a technological perspective and on the operating metrics that matter to investors. That clarity is what we help founders build before they go to market: benchmarking your positioning against buyer expectations, framing your AI story in the terms acquirers and investors are actually evaluating, and running a competitive process that surfaces the best possible outcome.

If you are receiving inbound interest, considering a capital raise, or simply curious how an AI-native versus non-AI-native classification might shape your valuation, reach out to our team.

This material and the opinions voiced are for general information only and are not intended to provide specific advice or recommendations for any individual or entity. All opinions and views constitute our judgments as of the date of writing and are subject to change at any time without notice. The material may contain "forward-looking" information that is not purely historical in nature. Such information may include, among other things, projections, forecasts, estimates of market returns and proposed or expected portfolio composition. Past performance is no guarantee of future results and there is no assurance this trend will continue.

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