TripWorks has warned of rising risks from AI-generated booking platforms, as new research points to accuracy issues and operational weaknesses across the travel tech sector.
The warning reflects wider industry debate over the role of generative AI in travel distribution, particularly as new entrants bring products to market more quickly but with varying levels of operational maturity.
The company said generative AI is driving a wave of “copycat” systems that replicate established booking interfaces but lack the infrastructure needed to handle real-world travel complexity. These platforms may perform well in demonstrations but can struggle with disruptions such as weather events, cancellations and itinerary changes.
TripWorks cited recent studies indicating widespread adoption of AI in travel planning, alongside ongoing concerns about reliability. It noted that while many travellers use AI tools, a large share still verify results through original sources.
The company also pointed to reported cases of AI-related errors, including incorrect routing and system failures, as signs of broader risks as the technology is deployed at scale.
TripWorks CEO Aaron Fessler stated booking systems should be treated as operational infrastructure rather than front-end tools, and called on travel businesses to assess platforms based on proven performance, reliability under peak demand, and transparency in how systems are built and tested.
He said: “AI is a powerful accelerator, but it’s not a substitute for engineering, testing, or operational experience.”
