Are AI agents actually disintermediating online travel platforms?
Early predictions warned that AI agents would erode OTA value by commoditizing search. But 2026 stock data for major travel platforms suggests otherwise. What does that gap between prediction and performance actually tell us?
Mauricio Prieto, writing in Travel Tech Essentialist, argues that seven months after one of Skift's 2026 Megatrends predicted "cracks forming in the OTA oligopoly" and warned it would be "extremely difficult to see that the OTAs would emerge from the LLM platform shift unscathed," the actual stock performance of the major online travel agencies has not borne that out. Expedia hit a new all-time high of $327 on August 5, the day of its Q2 report, after revenue rose 14% and gross bookings grew 12%, and closed at $311 on August 7 — up 61% over the trailing 12 months. Airbnb had "its biggest single-day stock rally ever" on August 7 after raising its annual revenue forecast for the second time that year, closing at $178, up 17% that day and 51% over 12 months. Booking Holdings "has gained back most of what it lost earlier this year to that same disintermediation narrative."
Prieto's reasoning is that AI may commoditize discovery — the search-and-compare step — without disintermediating the companies that hold "supply, payments, service, trust, and the ability to complete a booking." Those functions, he argues, "may become more valuable infrastructure" precisely because an agent still needs a platform to execute and guarantee the transaction. He qualifies the finding rather than closing the question: "Seven months is not seven years," and the pattern is uneven across the sector — Trip.com, eDreams ODIGEO, MakeMyTrip and Tripadvisor are all down over the past 12 months, while Trivago (a metasearch business) and the big three OTAs outperform. He concludes that "'OTA' is too broad a category for the AI-disintermediation story," since different platforms carry different economics, geographies, and exposure to the agentic shift.
The finding sits in tension with the mechanism described in Why do consumers delay adopting agentic search?, which models reasons a platform might rationally resist or delay agentic search even where it benefits consumers — Prieto's stock data is an early, concrete data point suggesting the incumbent travel platforms are not (yet) losing value to that shift. It also complicates Will brands succeed by building their own AI shopping agents?: Accenture's framing treats disintermediation as a binary threat that brands must out-compete, while Prieto's evidence points to fulfillment infrastructure — supply, payments, trust — as a chokepoint that can hold value even as discovery itself commoditizes. The companion claim in Does caching fares give infrastructure providers pricing power?, drawn from the same piece, offers one account of where that infrastructure value is concentrating.
A single essayist's reading of roughly seven months of share prices for a handful of named tickers is circumstantial market evidence, not a structural or causal test of whether agents disintermediate travel platforms — it is confounded by overall travel demand, earnings beats, and macro conditions that have nothing to do with agents, and Prieto himself flags the time horizon as too short to settle the question. The implication, held no more strongly than the evidence allows, is that functions beyond discovery — fulfillment, payment, trust — may be where value concentrates as agentic commerce grows, a hypothesis this data is consistent with but does not prove.
Inquiring lines that read this note 12
This note is a source for these research framings, grouped by the broader line of inquiry each explores. Scan the bold lines of inquiry; follow any specific question forward.
Do AI shopping agents exhibit systematic bias in recommendations? How can merchant-funded agents remain loyal to consumer interests in digital commerce?- Does infrastructure control over fares shift market power away from airlines?
- Can AI layers on TMC platforms change underlying OTA supply relationships?
- How does travel commerce become the first proving ground for agents?
- How do booking aggregators like Booking.com justify their 14-15 percent take rate?
- Can centralized data ownership alone move travel agents out of pilot mode?
- How does MCP's zero-commission model compare to current OTA commission structures?
- Where exactly does fulfillment infrastructure value concentrate in travel booking?
- Why do different OTA categories show uneven performance against AI disruption?
- Do AI agents actually eliminate profits from negative option billing?
Related concepts in this collection 5
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Why do consumers delay adopting agentic search?
Platforms benefit from agentic search before consumers do privately. This note explores whether rational cost-minimization—weighing time spent on search itself—explains adoption delays beyond simple distrust of AI.
models why platforms might resist agentic search even when it helps consumers; Prieto's data is early evidence incumbents aren't yet losing value to that shift
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Will brands succeed by building their own AI shopping agents?
Explores whether brands can compete by creating proprietary AI agents that mediate consumer purchases, or whether structural conflicts of interest and missing ecosystem conditions will undermine this strategy.
frames disintermediation as a binary brand threat that Prieto's evidence complicates by pointing to fulfillment infrastructure as a defensible chokepoint
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Does caching fares give infrastructure providers pricing power?
As AI agents drive search volume toward 200,000 queries per ticket, travel platforms like Amadeus are caching fares rather than pricing each query live. Does this caching layer give whoever controls it real influence over which fares agents recommend and how airlines compete?
same source's companion claim about how agent search volume is reshaping travel infrastructure economics
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Are AI agents actually removing online travel agencies from bookings?
Explores whether AI shopping agents disintermediate OTAs or instead embed them deeper as settlement infrastructure. Matters because it challenges assumptions about who loses under agentic commerce.
Extends: shows agents still route payment through OTAs as merchant of record, explaining why OTA stock gains reflect undiminished dependence
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Are AI agents making attention-based ads irrelevant for aggregators?
Does the shift toward AI agents that rank by user preferences rather than paid placement fundamentally undermine the ad-supported business model of travel and shopping aggregators like Tripadvisor?
Contradicts: Jarc cites Tripadvisor's revenue decline as evidence agents are already disintermediating travel aggregators, opposing Prieto's stock-gain rebuttal
Related papers in this collection 8
Papers most semantically related to this note, ranked by cosine similarity in the embedding space.
- The OTAs Aren't Being Disintermediated by AI. They're Becoming the Infrastructure Under It.
- #207: Evidence
- The Agent Economy: Who's Most at Risk?
- Agentic AI in Retail: How Autonomous Shopping Is Redefining the Customer Journey
- AI Agents Want to Shop for You: The Future of Agentic Commerce
- Hotels Are About to Lose Another Distribution War. This Time to AI Assistants.
- What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
- Vertical tacit collusion in AI-mediated markets
Original note title
Prieto argues OTA stock gains contradict predictions that AI agents would disintermediate online travel platforms