When AI Agents Become the New Travel Buyer: How Hotels and Airlines Should Prepare

September 24, 2026 | By Streebo Team | 13 min read

For years, travel companies have designed their digital experience around one assumption: a human being will search, compare, click, and eventually book.

That assumption is beginning to change.

A traveler planning a seven-day family vacation may soon spend truly little time moving between airline websites, hotel booking pages, review platforms, loyalty portals, and comparison engines. Instead, the traveler could simply tell an AI agent:

“Find me a family-friendly trip to Europe in October, keep the total cost under $6,000, use my loyalty points where they make sense, avoid overnight connections, and book refundable hotels.”

The AI agent could do much of the searching and comparison itself. Eventually, with the customer’s permission, it could also complete the transaction.

This creates a new kind of travel buyer.

Hotels, airlines, online travel companies, cruise lines, and other travel businesses may increasingly need to persuade not only the traveler, but also the AI agent acting on that traveler’s behalf.

Ready for the Agentic Travel Era? Travel companies can start by assessing whether their booking systems, APIs, loyalty platforms, content, and customer-service workflows are ready to interact with AI agents.

Explore Travel AI Agents in Action

Travel Discovery Is Moving Beyond the Traditional Funnel

The conventional travel funnel is familiar:

Inspiration → Search → Comparison → Website Visit → Booking → Service

Agentic travel can compress much of that journey.

An AI agent can potentially interpret the customer’s requirements, retrieve travel options from multiple sources, compare them against dozens of conditions, evaluate loyalty benefits, check cancellation rules, monitor prices, and recommend the best-fit itinerary.

There are already signs of this behavioral shift.

Expedia Group’s 2026 AI Trust Gap research, based on more than 5,700 adults across the U.S., U.K., and India, found that 53% of travelers are comfortable allowing AI to suggest travel options, 42% use or would use AI to monitor prices, and 40% use AI to help build itineraries. Nearly half said AI saves time or helps them discover places they may otherwise have missed.

Booking behavior has not moved at the same speed. The same research found that 68% still prefer booking with a trusted travel brand rather than an AI chatbot or agent.

That gap is important.

The near-term opportunity is unlikely to be a world where travelers disappear from the decision entirely. Instead, AI may increasingly become the layer between customer intent and the travel company’s inventory.

The question for travel executives therefore becomes:

Can an AI agent understand, evaluate, trust, and transact with your brand?

Structured Travel Data Becomes a Competitive Asset

An AI agent cannot reliably recommend what it cannot understand.

Travel websites contain enormous amounts of useful information, but much of it was designed primarily for humans. Key details may sit inside images, PDFs, JavaScript interfaces, promotional banners, terms and conditions, or disconnected systems.

Agents work better when information is structured and machine-readable.

For a hotel, that could include:

Room type and occupancy
Real-time availability
Amenities
Accessibility information
Cancellation policy
Check-in and check-out rules
Resort or destination fees
Meal plans
Loyalty benefits
Location attributes
Family and pet policies

For an airline, the data may include fares, fare families, baggage allowances, seat availability, connection details, change conditions, lounge access, ancillary services, and loyalty benefits.

Airline distribution is already moving in this direction. IATA’s New Distribution Capability, or NDC, is designed to enable richer airline offers and improve communication between airlines, travel sellers, and other third parties. IATA describes its broader Modern Airline Retailing initiative as a transition toward Offers and Orders, with greater emphasis on personalization and seamless retailing across channels.

Agentic travel adds another reason to accelerate this modernization.

Pricing and Availability Must Be Accessible in Real Time

Showing an AI agent an outdated room rate or unavailable flight can quickly destroy confidence in the interaction.

Traditional search experiences sometimes tolerate a gap between advertised pricing and final pricing. Agent-driven commerce will make those inconsistencies much more visible.

An agent may compare several suppliers within seconds. If one provider repeatedly returns incomplete availability, unexpected fees, or rates that change at checkout, that provider may become less useful to the agent’s decision process.

Travel companies should therefore examine whether agents can securely access:

Current rates
Live inventory
Taxes and fees
Promotions
Fare restrictions
Refundability
Ancillary pricing
Loyalty pricing

The goal is not simply to expose more data. It is to expose reliable data with clear commercial rules.

Loyalty Programs Need to Become Agent-Readable

Loyalty could become particularly important as AI assumes more responsibility for comparison.

Consider a traveler whose airline status includes free checked baggage, preferred seating, lounge access, and better points earning.

A simple price comparison may make Airline A appear cheaper. But once loyalty benefits are included, Airline B could provide better overall value.

An intelligent travel agent should be able to understand that difference.

This matters because loyalty remains highly influential. Expedia Group’s 2025 Traveler Value Index, covering more than 11,000 consumers across 11 markets, found that 83% of travelers wanted to redeem loyalty points for travel.

Travel brands should therefore consider how authorized agents can securely retrieve a customer’s relevant loyalty status, benefits, balances, offers, and eligibility without exposing unnecessary personal information.

Booking APIs Become the New Digital Front Door

A beautiful website remains important, but in an agentic environment, the API may become equally important.

AI agents need reliable ways to move from recommendation to action.

For example:

Search → Check availability → Price → Apply loyalty benefits → Select ancillary services → Confirm traveler details → Authorize payment → Book → Retrieve confirmation

If an agent can discover a hotel’s room but cannot reserve it programmatically, the customer may still be forced into a traditional website flow.

That creates friction.

The emerging agentic-commerce ecosystem is already moving toward end-to-end transactions. In September 2026, Mastercard and Trip.com announced work demonstrating travel experiences in which consumers can search, book, and complete purchases through an AI-powered agent experience.

This is why travel companies should begin treating APIs, authorization, identity, consent, and agent-safe payments as strategic customer-experience infrastructure.

Your Content Must Work for Machines as Well as People

Travel marketing has traditionally optimized content for humans and search engines.

The next discipline may be agent-readable content.

An AI agent evaluating a hotel might need to answer:

“Is this property suitable for a couple traveling with a three-year-old?”

A generic description such as “an unforgettable luxury experience in the heart of the city” provides truly little useful information.

Structured details such as connecting-room availability, crib policy, children’s menus, pool restrictions, airport-transfer options, room size, noise conditions, and nearby attractions are much more useful.

This does not mean abandoning good storytelling.

It means supporting storytelling with factual, structured, consistently maintained information that AI systems can confidently interpret.

Post-Booking Service Could Become Agent-to-Agent

Booking is only one part of travel.

Flights are delayed. Rooms need to be changed. Travelers extend stays. Bags are lost. Connections are missed.

AI agents could increasingly handle these events on behalf of travelers.

A traveler might instruct an agent:

“My flight was canceled. Find the fastest alternative, move my airport transfer, notify the hotel that I will arrive late, and update tomorrow morning’s activity.”

That requires more than a conversational assistant.

It requires secure orchestration across reservations, inventory, CRM, payment, loyalty, notification, and customer-service systems.

IBM, for example, describes watsonx Orchestrate as a platform capable of coordinating agents, tools, workflows, and foundation models, while providing governance and operational controls around enterprise agents.

This is the direction travel companies should prepare for: AI that does not merely answer a travel question but can carry out an approved task.

Trust May Become More Important Than Automation

The biggest barrier to agentic commerce may not be whether an AI agent can technically make a reservation.

It may be whether people trust it.

Visa’s September 2026 Trust Index found that only 23% of surveyed U.S. consumers trusted generative AI to handle payment transactions on their behalf.

That makes authorization, transparency, security, audit trails, and customer control essential.

Travelers should be able to understand what their agent is authorized to do.

For example:

“Find flights” is different from “purchase any flight below $800.”

“Recommend hotels” is different from “book a refundable room using my stored card.”

Successful agentic travel experiences will need explicit permissions, spending limits, identity verification, secure credentials, transaction records, and clear escalation paths to humans.

How an Enterprise AI Partner Can Help

For travel organizations moving from AI experimentation to production-ready agentic experiences, Streebo is a leading digital transformation and AI company delivering enterprise AI solutions powered by IBM watsonx, Google Gemini, Microsoft Copilot Studio and Enterprise GPT on Azure, Amazon Bedrock, and SageMaker. Its enterprise approach includes solutions designed around 99%+ accuracy, a no-hallucination operating model, enterprise guardrails, and both pre-built and custom MCPs to connect AI agents securely with business applications, data sources, APIs, and transactional systems.

This type of architecture can help travel businesses connect conversational experiences with real operational workflows rather than leaving AI isolated from reservation, loyalty, CRM, and service platforms.

Agentic Travel Readiness Checklist

Travel executives do not need to rebuild everything immediately. They do need to understand where the gaps are.

Data

Is inventory structured and machine-readable?
Are rates and availability updated in real time?
Can policies, amenities, restrictions, and fees be retrieved consistently?
Is loyalty information accessible through secure interfaces?

Discovery

Can AI systems clearly identify your products and services?
Is valuable information trapped inside PDFs, images, or JavaScript?
Is your content sufficiently detailed for an agent to compare your offering?

Transactions

Can authenticated systems search and book through APIs?
Can bookings be changed or canceled programmatically?
Are payments designed for delegated, authorized transactions?

Personalization

Can customer preferences be used with consent?
Can loyalty status influence recommendations?
Can an agent retrieve only the customer information required for a specific task?

Security and Governance

Are agent actions logged?
Are spending and authorization limits enforced?
Are sensitive data and credentials protected?
Can high-risk actions require human confirmation?

Service

Can AI access reservation and support systems?
Can disruptions trigger automated workflows?
Can an AI agent escalate seamlessly to a human employee?

The New Competition for Travel Discovery

AI agents are unlikely to eliminate travel brands.

They may, however, change how those brands are discovered.

The winning travel experience may no longer begin with a customer typing an airline name into Google or opening a hotel app.

It may begin with:

“Plan my trip.”

At that moment, the AI agent becomes part researcher, part travel advisor, part comparison engine, and potentially part buyer.

Hotels, airlines, and travel companies that expose accurate data, transparent pricing, useful loyalty information, secure APIs, and dependable post-booking capabilities will be far better prepared for that shift.

The objective is not to build technology for AI agents simply because agentic commerce is fashionable.

It is to make the business easy for both people and their digital representatives to discover, understand, trust, and transact with.

Prepare Your Travel Business for Agentic Commerce

The transition does not need to happen all at once. Start with the workflows that matter most: travel discovery, booking assistance, loyalty, disruption management, or customer service.

Speak with our AI team to assess your agentic-commerce readiness and build a practical roadmap for AI agents across your travel customer journey.

Frequently Asked Questions

What is agentic commerce in travel?

Agentic commerce refers to AI agents helping customers perform parts of the buying journey, such as discovering flights or hotels, comparing alternatives, monitoring prices, applying preferences, and potentially completing authorized transactions.

Will AI agents replace online travel agencies and travel websites?

Not necessarily. They are more likely to become another interface through which customers discover and access travel inventory. Websites, apps, OTAs, direct channels, and AI agents may coexist, while the underlying travel data and transactional systems become increasingly interconnected.

Why do travel companies need agent-readable data?

AI agents need accurate, structured information to compare options reliably. Rates, availability, policies, amenities, loyalty benefits, fees, and restrictions should therefore be easy for authorized systems to retrieve and interpret.

How can airlines prepare for AI-agent bookings?

Airlines can modernize their offer and order infrastructure, expand secure API access, improve real-time pricing and availability, expose ancillary and loyalty information, strengthen identity and authorization controls, and prepare service workflows for agent-initiated changes.

How can hotels prepare for agentic travel?

Hotels should focus on structured room and property data, accurate availability, transparent total pricing, machine-readable policies, loyalty integration, reservation APIs, and automated post-booking workflows.

Is agentic travel secure?

It can be, but security must be designed into the architecture. Identity verification, customer consent, transaction limits, secure credentials, audit logs, policy enforcement, enterprise guardrails, fraud controls, and human approval for sensitive actions will be critical as agents gain greater transactional authority.