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The U.S. travel booking path fractured by social media, technology

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The booking funnel is fractured by generation, with younger travelers leaning more on technology and social media.

In July, travel technology company iSeatz commissioned that included responses from 1,000 Americans travelers over the age of 18. The survey, conducted by Talker Research and titled “The Modern Traveler 2025,” revealed that the booking path no longer follows traditional patterns.

“Today’s travelers are not just choosing destinations. They are navigating a digital journey from discovery to booking, and they expect it to feel effortless, intuitive and personalized at every step,” said Kenneth Purcell, founder and CEO of iSeatz. “These rising expectations do not come out of nowhere. Consumers have been conditioned by the digital ease of e-commerce, social media and streaming platforms.”

ISeatz found that travelers are discovering travel opportunities in a more fluid process, which also requires more steps. 

“Instead of following a straight path from idea to booking, most travelers now move back and forth between inspiration, research, comparison and planning across a variety of platforms,”  iSeatz said in its report.

This shift is tied to social media for younger generations, while older generations are still relying on friends and family for recommendations.

Generally speaking, 43% of respondents said they are inspired by loved ones. But younger generations are more often inspired by social media: 52% of Gen Z and 46% of millennials said it is their “primary source” for travel inspiration.

The report found that during the research phase, 45% of Gen Z members prefer using social media over traditional search engines. Overall, 43% of travelers still use traditional search engines like Google and Bing, but 27% go to social media first.

Nearly 40% of travelers also said social media influencers had a “significant impact” on how they book and where they travel, with that figure ticking up among younger generations. Sixty-two percent of Gen Z respondents said influencers impact their decisions.

Social media’s influence is further illustrated by Phocuswright research that found almost two thirds of travelers made a trip purchase or visitation based on content they viewed while trip planning.

Considering the survey results, iSeatz said some travel brands are missing the mark.

“There isn’t currently enough technical infrastructure to support discovery-to-booking experiences within social platforms,” iSeatz said. “That’s a missed opportunity: 53% of millennials and 52% of Gen Z say they’d book travel directly from social media if it were secure and seamless.”

That is a gap that some travel brands and social media platforms—including Expedia and Instagram, Booking.com and TikTok and TourRadar—are trying to solve.

But regardless of age or generation, the funnel is still fragmented, according to iSeatz. 

“Travelers often jump between social feeds, search engines, review sites and booking engines, which creates both friction and opportunity. Travel brands that can bridge these gaps will be better positioned to capture interest and convert it into action.”

Additional AI findings

The rise of artificial intelligence (AI) is having an impact on traveler behavior too, as other reports have also found.

Around one in five travelers reported regularly using AI, and that percentage ticks up among younger travelers, with 35% of Gen Z and 34% of millennials using AI regularly. 

And with AI tools maturing, travelers are anticipating more personalization, iSeatz found.

“Fifty-seven percent of travelers already expect brands to anticipate their preferences and needs based on past behavior,” iSeatz said in its report. “Millennials, in particular, are driving this shift. Seventy-four percent say personalization is a baseline expectation, not a bonus.”

And the majority of travelers are not strongly opposed to sharing their data to make that happen.

“The travel companies that succeed in this new landscape will be the ones that understand their customers deeply and design every touchpoint around what today’s travelers value most,” iSeatz said.

The Phocuswright Conference 2025

Join us at The Phocuswright Conference in San Diego from November 18 to 20 to hear executives from Reddit, TikTok and YouTube weigh in on how social platforms are shaking up the travel industry.



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Mastercard Introduces Developer Toolkit to Accelerate AI Integration in Payments

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These efforts are laying the foundation for smarter, more secure shopping experiences using artificial intelligence and intelligent agents as the company is helping to set the standards for how AI can securely and confidently handle payments.

Mastercard  is advancing AI-powered payments with new tools for developers, expanded consulting services and deeper collaboration across the global tech and finance ecosystem. These efforts are laying the foundation for smarter, more secure shopping experiences using artificial intelligence and intelligent agents as the company is helping to set the standards for how AI can securely and confidently handle payments.

 

Building the future of AI shopping

Mastercard is working with AI and commerce leaders including Stripe, Google and Ant International’s Antom to make secure agentic transactions accessible and scalable for digital merchants and platforms globally. By the holiday season, all U.S. Mastercard cardholders will be enabled for the Mastercard Agent Pay program, with global rollout to follow shortly thereafter. Ahead of this, Citi and U.S. Bank Mastercard cardholders will be the first to have the opportunity to experience AI-enabled shopping as agentic commerce providers and enablers like PayOS, Firmly.AI, Basis Theory and other industry players go live.

 

New tools to accelerate adoption

Separately, to help developers and businesses get started quickly, Mastercard is launching:
  • Agent Toolkit: Available on Mastercard Developers, the toolkit enables AI assistants and agentic tools to seamlessly access and interpret Mastercard’s API documentation using structured, machine-readable content via the Model Context Protocol (MCP) server. This supports integration with platforms like Claude, Cursor, and GitHub Copilot – making Mastercard APIs more discoverable and easier to integrate in agentic workflows. The availability of MCP complements the Agent2Agent protocol.
  • Agent Sign-Up: A simple way for those using the Agent Toolkit to identify their agents and access AI-enabled Mastercard products and services.
  • Insight Tokens: A secure and governed way for agents to access and apply permissioned insights from Mastercard. As agentic commerce matures, Insight Tokens will enable consumers to receive, with their consent, more personalized and useful experiences and information. Insight Tokens are built on Mastercard technology that is already supported by B2B partners like SAP Concur.
  • Agentic Consulting Services: Expert support to help issuers, acquirers, merchants and AI enablers design intelligent shopping experiences, and get up and running faster.

 

Setting industry standards for the future of payments

Mastercard is leveraging its expertise in shaping global, interoperable digital payments standards – including contactless and tokenization – to help define how payments should operate in agentic environments. Together with the FIDO Alliance and its Payments Working Group, Mastercard and other industry leaders are developing a verifiable credential standard for payments that confirms payment details such as amount, merchant and product. This ensures that everyone involved in a transaction can experience confidence that it was approved by the shopper, paving the way for a more secure, seamless and trusted foundation for agentic payments.

 

Laying the foundation for agentic experiences

“AI-powered payments aren’t just a trend — they’re a transformation. Payments must be native to the agentic experience. We’re building the infrastructure for a new generation of intelligent transactions, where consumers and developers can empower AI agents to act on their behalf with trust, transparency and precision.”

Craig Vosburg, Chief Services Officer, Mastercard

“We’re working with partners across the ecosystem to build the standards and tools that will define agentic commerce. We’re committed to enabling a trusted environment for AI-powered payments to scale globally.”

Jorn Lambert, Chief Product Officer, Mastercard

Mastercard’s infrastructure and standards are designed to support trusted real-world agentic transactions today and are ready to scale as more people and businesses adopt them.

 



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How International is building AI into a 200-year-old culture of transformation

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In the second circle are our business process areas such as finance, commercial operations and aftersales, procurement, R&D, production and logistics, and more. These are the mature domains where AI will provide the most business value. Data liquidity is the third circle. What available data sets do we have now that don’t need transformation? The overlapping area is where we have immediate value creation opportunities.

What’s been the early output of your approach to baking AI into your transformation?

In March, we were initiating AI within certain functions, and today we have more than 50 cross-domain, enterprise-wide business ideas in backlog, and we’re kicking off three beta use cases now. By clearly weighing business value alongside our ability to act and execute, rather than relying on generic decision criteria, we’re able to select lead management for our commercial business, spend analytics for procurement, and dealer-network customer service for aftersales. Using this lens, we also brought in tech, product, operations, and external partners into a co-innovation lab with pods for each business area. The goal of the lab is to develop an agile use-case delivery model, which we’ll fine-tune and scale beginning in 2026.



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Doomprompting: Endless tinkering with AI outputs can cripple IT results

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“Employees who don’t really understand the goal they’re after will spin in circles not knowing when they should just call it done or step away,” Farmer says. “The enemy of good is perfect, and LLMs make us feel like if we just tweak that last prompt a little bit, we’ll get there.”

Agents of doom

Observers see two versions of doomprompting, with one example being an individual’s interactions with an LLM or another AI tool. This scenario can play out in a nonwork situation, but it can also happen during office hours, with an employee repeatedly tweaking the outputs on, for example, an AI-generated email, line of code, or research query.

The second type of doom prompting is emerging as organizations adopt AI agents, says Jayesh Govindarajan, executive vice president of AI at Salesforce. In this scenario, an IT team continuously tweaks an agent to find minor improvements in its output.



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