desk, call centres, agents) are most likely to be affected, whereas emerging roles will include data analytics, AI system management and digital experiences. The net effect will be a major reconfiguration of the tourism workforce, with both risks and opportunities hinging on the sector’s ability to upskill and adapt.62 –Investment patterns: Venture capital floods metaverse tourism start-ups ($47 billion annual investment by 2030), while traditional hospitality suffers a 14% valuation decline. Risk matrix: –Cybersecurity threats: Sector losses from data breaches/phishing hit $450 billion annually by 2030, with 63% targeting small operators lacking encryption tools.63 A mitigation suggestion would be to implement mandatory ISO 27018-TT certification for all platforms processing more than 1 million user records. –Deepfake reputation crises: AI-generated fake resort reviews affect 34% of Tripadvisor’s top 100 destinations by 2027.64 One way to solve this challenge would be to use the UNESCO-led blockchain registry for verified traveller media (Digital Provenance Chain), a secure, traceable and often tamper-proof record that tracks the complete life cycle of a digital asset or physical product, from its origin through every modification, transfer or interaction, up to its current state. –Skill obsolescence: 72% of current hospitality curricula lack artificial intelligence/virtual reality (AI/VR) modules, creating 2.3 million unfilled tech roles by 2035. The UNWTO’s Draft Programme of Work for 2024–2025 estimates that 882,000 global tourism jobs annually will require vocational training until 2030.65 Sustainability trade-offs – while virtual tourism reduces physical travel emissions by 18%, the digital carbon footprint surges: metaverse platforms consume 2.4 trillion kWh globally by 2030 (equivalent to 1.2 billion tonnes of CO2). Data centre cooling demands increase water usage in drought-prone regions by 14%, conflicting with TTDI Environmental Sustainability pillar requirements. Paradoxically, AI-optimized routing cuts aviation fuel consumption by 9%,66 saving 48 million tonnes of CO2 annually – a net gain offset by rebound effects in luxury travel segments. This fourth and last scenario underscores T&T’s vulnerability to uncontrolled tech disruption. While innovation unlocks efficiencies, unregulated adoption risks market concentration, workforce displacement and new environmental pressures. Stakeholders must balance competitive agility with ethical guardrails to ensure equitable access to tech’s benefits. Caption: Gwangan Bridge, Busan, South Korea Four Scenarios for the Future of Travel and Tourism 16

Four Scenarios for the Future of Travel and Tourism 2025