emerging
Legacy Processes Slow AI
Generative AI adoption in travel and dining is hindered by outdated engineering processes, requiring organizational and structural changes.
Themes
Timeframe
near-term
Impact areas
Detailed Analysis
While generative AI is being adopted across various sectors, travel and dining brands are still in the early stages. Many are using AI for specific use cases like enhancing customer experiences with trip planners or AI-powered drive-thrus. However, the real challenge lies in moving beyond these isolated applications and leveraging AI for broader transformation and productivity gains. As the report states, "The top priority for travel and dining leaders in 2025 is moving from specific use cases to using AI for overall productivity."
Context Signals
54% of travel and dining leaders view generative AI as crucial for the next three years.
Only 11% of travel and dining leaders are using custom AI tools with their own data.
Legacy engineering processes are the main obstacle to broader AI adoption.
Edge
Companies that successfully navigate the transition to agile AI development will gain a significant competitive advantage.
The demand for AI talent will continue to outpace supply, creating opportunities for specialized training and recruitment services.
AI-driven process optimization could lead to unexpected cost savings and revenue generation opportunities.
