As AI becomes a powerful travel research tool, human advisors are finding that expertise, relationships, and preparation remain difficult to automate.
WHAT’S HAPPENING
Travel industry veteran Rob DelliBovi is launching a new platform for independent travel advisors built around a simple belief: AI can help plan a trip, but it cannot fully replace the value of human expertise.
While advisors increasingly use AI for research, logistics, and administrative tasks, DelliBovi argues that successful travel planning still depends on experience, personal relationships, insider knowledge, and proactive problem-solving. His platform aims to provide advisors with the infrastructure and supplier relationships needed to build independent travel businesses while leveraging AI as a tool rather than a replacement.
WHY IT MATTERS
This story reflects a broader trend emerging across many industries. AI is proving highly effective at gathering information and generating recommendations, but customers continue to place value on human judgment when decisions involve uncertainty, personalization, or high expectations.
Travel planning is becoming an early example of a larger shift where AI serves as a research layer while humans remain responsible for interpretation, quality control, relationship management, and accountability.
The future may not be humans versus AI. It may be humans who know how to use AI outperforming both humans and AI working alone.
WHO BENEFITS
Travel Advisors — Gain productivity advantages from AI while differentiating through expertise, relationships, and personalized service.
Travelers — Receive faster research combined with human oversight that can reduce mistakes and improve experiences.
Hospitality Providers — Benefit from advisors who can drive higher-value bookings and manage customer expectations.
WHO LOSES
DIY Travel Platforms — Face increasing competition from advisors who combine AI efficiency with personalized service.
Generic AI Planning Tools — Risk becoming commoditized if users view them primarily as research assistants rather than trusted decision-makers.
Low-Touch Agencies — May struggle if they cannot demonstrate value beyond information readily available online.
WHAT HAPPENS NEXT
Expect travel advisors to increasingly position themselves as AI-enhanced consultants rather than traditional agents. The winning model is likely to combine machine efficiency with human expertise, relationships, and accountability.
The deeper signal extends far beyond travel. Industries including finance, healthcare, education, law, and consulting are confronting the same reality: AI can generate answers, but customers still place a premium on trusted human judgment when outcomes matter most.