Author:
UN Tourism & Saxion University of Applied Sciences
UN&uni (1).webpUN&uni (1).webp
Language:
English

Artificial Intelligence Adoption in Tourism: Key Considerations for Sector Stakeholders

January 2025
Digital

In an era of rapid technological advancement, artificial intelligence (AI) has emerged as a revolutionary force, reshaping industries and redefining human interactions with technology. The tourism sector, known for its dynamic nature and customer-centric focus, stands at the forefront of this AI-driven transformation. From personalized travel recommendations to automated hotel services, AI is not just enhancing operational efficiency but fundamentally altering the way travellers experience their journeys.

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This report delves into the multifaceted impact of AI on the tourism sector and, in particular, the hospitality industry. It aims to provide stakeholders – including industry leaders, policymakers, technologists and academics – with a thorough understanding of the current landscape, future possibilities and critical considerations surrounding AI adoption in this sector.

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Subsequently, it provides key considerations at a general stage and recommendations for specific stakeholders in the tourism supply chain.

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Given the current – and potential wide-range –possibilities of AI, and the multi-stakeholder nature of the tourism sector itself, it is important that the implementation of AI in this sector follows a collaborative and inclusive approach. To this end, the publication includes a set of case studies provided by UN Tourism Affiliate Members that reflect diverse applications of AI tourism, showcasing how various stakeholders can benefit from and adopt AI-driven innovations.

Contents:

  • Introduction
  • The AI revolution: concept and current state
  • AI in tourism: a further exploration of applications and impact
  • Towards guiding principles for adoption in tourism
  • Final insights
  • UN Tourism’s AI-driven initiatives – Experiences from the UN TourismOnline Academy and the UN Tourism Innovation network
  • Case studies on AIin tourism from UNTourism AffiliateMembers

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Artificial Intelligence Adoption in Tourism: Key Considerations for Sector Stakeholders

January 2025
Digital

In an era of rapid technological advancement, artificial intelligence (AI) has emerged as a revolutionary force, reshaping industries and redefining human interactions with technology. The tourism sector, known for its dynamic nature and customer-centric focus, stands at the forefront of this AI-driven transformation. From personalized travel recommendations to automated hotel services, AI is not just enhancing operational efficiency but fundamentally altering the way travellers experience their journeys.

​

This report delves into the multifaceted impact of AI on the tourism sector and, in particular, the hospitality industry. It aims to provide stakeholders – including industry leaders, policymakers, technologists and academics – with a thorough understanding of the current landscape, future possibilities and critical considerations surrounding AI adoption in this sector.

​

Subsequently, it provides key considerations at a general stage and recommendations for specific stakeholders in the tourism supply chain.

​

Given the current – and potential wide-range –possibilities of AI, and the multi-stakeholder nature of the tourism sector itself, it is important that the implementation of AI in this sector follows a collaborative and inclusive approach. To this end, the publication includes a set of case studies provided by UN Tourism Affiliate Members that reflect diverse applications of AI tourism, showcasing how various stakeholders can benefit from and adopt AI-driven innovations.

Contents:

  • Introduction
  • The AI revolution: concept and current state
  • AI in tourism: a further exploration of applications and impact
  • Towards guiding principles for adoption in tourism
  • Final insights
  • UN Tourism’s AI-driven initiatives – Experiences from the UN TourismOnline Academy and the UN Tourism Innovation network
  • Case studies on AIin tourism from UNTourism AffiliateMembers