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.
Rajeev Goswami, CEO of WWStay, argues that AI shopping agents are not removing online travel agencies (OTAs) such as Booking.com and Expedia from hotel bookings; instead, OTAs are becoming the settlement layer those agents depend on. He writes that "AI is removing the storefront, not the infrastructure underneath it." His evidence: independent hotels' RevPAR (revenue per available room) fell 5.4% in 2025 while their OTA dependence climbed to 63.4% of bookings — "worse, not better, in the year AI was supposed to start fixing this." He also points to OpenAI's "quiet retreat from ChatGPT checkout in March" as a tell: even when an agent books through an OTA's API rather than its website, the OTA stays merchant of record and keeps the commission.
Goswami's reasoning centers on where commerce infrastructure sits, not where the user interface sits. He finds that Expedia's B2B segment — which powers other companies' booking tools, including the travel-management-company (TMC) platforms that corporate travel programs route through — grew 24% year-over-year and is now 38% of Expedia's total revenue. Branded hotel chains' OTA channel share, meanwhile, "has barely budged in a decade of 'book direct' campaigns." For Goswami, adding an AI layer on top of a TMC platform changes who makes the booking request, not who collects the commission beneath it; the dashboards travel managers watch "track booking behavior, not who's still collecting the commission underneath it."
This complicates the expectation, voiced elsewhere in the library, that agentic commerce mainly threatens to cut out existing intermediaries: Will brands succeed by building their own AI shopping agents? frames the risk as one of being bypassed by an agent layer, but Goswami's travel-industry case shows a different outcome for a different class of intermediary — the OTA absorbs the agent layer rather than being displaced by it. It also parallels the mechanism in Why do consumers delay adopting agentic search?: both describe incumbent platforms retaining structural advantage under agentic commerce even when the surface experience seems to favor the consumer or a new entrant. It echoes Is non-human traffic really half of all internet use? in showing an existing commercial layer adapting to, rather than being erased by, agent-mediated access.
Goswami's piece is a subscriber brief built from his own review of 2026 industry figures and a single discovery-call anecdote, not an independent audit of OTA contracts or TMC platform agreements; he states plainly that "nobody's actually measuring whether an AI layer on a TMC platform changes the underlying OTA-supply relationship," leaving his claim about embedded dependency as a question he poses rather than a figure he can cite. The data he does cite — RevPAR, OTA booking share, Expedia's segment revenue — describes the hotel and TMC channel specifically, so it should not be read as a general claim about agentic-commerce disintermediation outside travel.
Inquiring lines that read this note 32
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 does caching refresh cadence affect fare accuracy for consumers?
- Which retail categories are most vulnerable to agent-driven basket fragmentation?
- Does infrastructure control over fares shift market power away from airlines?
- How much ad revenue does Amazon lose when agents skip sponsored listings?
- Can retailers use off-site agents to compete without losing customer loyalty?
- What happens to traditional retailer-shopper relationships as third-party agents grow?
- How might card networks recognize agent-operator liability to shift risk away from merchants?
- Which actors currently control the largest shopping agent platforms?
- What makes agent-to-agent negotiation fundamentally different from agent-assisted shopping?
- 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?
- Why would merchants accept higher agent take rates as they mature?
- 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?
- Does existing consumer protection law adequately address AI agents acting as algorithmic intermediaries?
- Which markets have intermediaries that agents could most easily replace first?
- How do agentic shopping systems balance merchant revenue and consumer savings?
- Can price discrimination bans work without restructuring how agents are financed?
- Do AI agents actually eliminate profits from negative option billing?
- How should regulators treat AI agents acting as algorithmic consumers in commerce?
- Why might aggregate AI commerce measurements misstate who is actually affected?
- What fraud losses result when behavioral biometrics disappear in agent transactions?
- How much have agent payment volumes grown compared to human payments?
Related concepts in this collection 4
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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.
contrasts: Accenture frames disintermediation risk for brands while Goswami finds OTAs absorbing the agent layer instead
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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.
parallel mechanism of incumbent platforms retaining advantage under agentic commerce
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Is non-human traffic really half of all internet use?
Cloudflare's network measurements show over 50% of internet traffic is now from AI crawlers and bots rather than humans. Understanding whether this reflects actual internet-wide patterns matters for how publishers, platforms, and regulators should respond.
parallel case of an existing commercial layer adapting to agent-mediated traffic rather than being erased
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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?
Evidence for: Expedia, Booking and Airbnb's 2026 stock gains and raised guidance support the claim OTAs aren't being disintermediated
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?
- 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.
- Double Agent: The Case for Regulating Agentic AI
- Remapping travel with agentic AI
- The end of inertia: Agentic AI's disruption of retail and SME banking
Original note title
Goswami argues OTAs aren't being disintermediated by AI — they're becoming the infrastructure under it