Travel’s AI Gap is a Leadership Challenge, not a Technology One
Summary
The article explains that although most travel companies are investing in AI, there’s a big gap between investment and readiness. Key findings from Amperity’s 2025 State of AI in Travel Report include high AI usage (80%) but low readiness to scale (~12.5%), limited guest-facing AI (35%), and widespread data fragmentation (58%). The piece argues that the barrier isn’t the tech — it’s leadership, alignment and people. To capture real value, travel brands must unify data, train staff, and prioritise guest-facing AI.
Key Points
- 80% of travel companies use AI in some capacity, yet only roughly 12.5% feel prepared to scale deployments.
- Only 35% use AI in guest experiences — check-ins, upgrades and on-the-ground personalisation remain largely manual.
- 58% report fragmented or incomplete customer data, undermining personalisation and real-time response.
- Major organisational barriers: limited training, heavy IT dependency, and fractured data systems.
- Companies using a customer data platform (CDP) are five times more likely to achieve full AI adoption across business units.
- Four priorities to scale AI: unify data, ensure data quality and transparency, invest in people and training, and move to context-aware, real-time systems.
Content summary
The report shows travel firms are spending on AI, mostly in back-end areas such as marketing automation and analytics, but are not yet delivering AI where guests actually feel it. Fragmented systems (reservations, loyalty, POS, apps, contact centres) and data silos prevent frontline teams from acting on AI insights. Many teams still depend on IT for data access; over a third of organisations provide no formal AI training. The article emphasises that technical integration is solvable, but alignment, governance and people are the harder challenges.
Context and relevance
With peak season approaching, travel brands face pressure to perform operationally and to convert AI spend into better guest experiences. The piece is important for C-suite and operational leaders: embedding AI into frontline touchpoints — check-in, service recovery, personalised offers — is where loyalty and measurable ROI are won. Cleaner, connected customer data and event-driven, real-time systems will shift the industry from reactive to anticipatory service.
Author style
Punchy: the author (Tony Owens, CEO of Amperity) delivers a clear executive brief — this isn’t about hype. It’s a call to action for leaders to stop experimenting in silos and start building the foundations (data, trust, training) that make guest-facing AI deliver value.
Why should I read this
Quick and useful — if you work in travel (or with travel clients), this saves you time: it pinpoints where AI money is actually failing to move the needle and tells you what to fix first. Read it to get the checklist your leadership team needs before the next busy season.
