Structural foundations: This scenario emerges from hyper-accelerated technological innovation intersecting with fragmented economic recovery patterns. Generative AI adoption in T&T operations reaches 78% penetration by 2030, while 5G/6G networks cover 92% of urban destinations but only 34% of rural areas.59 The global digital divide exacerbates disparities: Africa’s ICT Readiness pillar score stagnates at 2.88 (vs. Asia’s 4.98), reflecting infrastructural underinvestment and regulatory lag. Metaverse tourism may capture part of the sector revenue, primarily cannibalizing budget travel segments as cost-conscious consumers opt for virtual experiences over physical travel. Algorithmic pricing volatility intensifies, with fare fluctuations increasing by 300% due to AI-driven demand forecasting models optimized for short-term profit maximization. Demand–supply dynamics: Non-leisure travel rebounds to 130% of pre-pandemic levels, driven by hybrid work policies enabling blended travel extensions. Corporate travel platforms integrate augmented reality/virtual reality (AR/VR) for hybrid conferences, reducing per-employee travel costs by 22% but diminishing hotel occupancy in secondary business hubs. Leisure demand polarizes: luxury travellers adopt AI-curated “hyper- personalized” itineraries, while mid-market tourists face affordability crises due to dynamic pricing algorithms. Airbnb reports 45% of bookings now managed by AI agents, eroding traditional agency margins from acting as intermediaries.60 Supply chains face dual pressures: Robotic housekeeping adoption reaches 38% in high- income economies, but maintenance costs for IoT-enabled hotels outpace savings by 19%.61 The TTDI’s Tourist Services and Infrastructure pillar reveals a 14-point gap between automated (5.2 average) and manual (3.8 average) service providers. Meanwhile, blockchain-based loyalty programmes relying on energy-intensive consensus mechanisms (e.g. proof of work) reduce intermediary fees but increase energy consumption per transaction by 3.2 kWh, far exceeding traditional database systems and challenging sustainability targets. Economic multipliers – the scenario yields unequal socioeconomic benefits: –Employment shifts: By 2030, automation and new technologies are expected to automate or transform between 25 and 45% of tourism jobs, particularly routine and customer-facing roles: 29% of large enterprises today are already using AI. Routine and repetitive tasks (front Scenario 4: Tech turbulence This fourth scenario is marked by accelerated technology disruption and uneven growth and has the following characteristics. Four Scenarios for the Future of Travel and Tourism 15

Four Scenarios for the Future of Travel and Tourism 2025