AI in Travel

The hospitality companies scaling AI fast aren't running better pilots. They've stopped thinking in pilots at all.

Many of the pressing issues in AI implementation are organizational, not technological.

Acquiring a shiny company to boost your AI ambitions may seem appealing, but buying can sometimes set a company back.

Marriott is now in the third phase of its AI rollout, with conversational search the highest-profile launch coming this year. Its top data and AI exec says the harder work is rethinking the workflows underneath.

Most travel companies are still cataloguing AI use cases. Air Canada's chief digital officer argues that catalogue is what’s keeping their AI work narrow and shallow.

A live AI tool with early conversion gains is one Hilton story. The cost of running AI across the wider company is another.

Priceline is turning Penny from a single chatbot into an interface for a squad of agents. It's the latest platform turning to multi-agent architecture for travel.

Another AI travel agent might not be news. One built by the founder of Sonder, with something to prove, is.

Travel search was built around a useful limit: people eventually stop looking. AI agents don’t. That turns comparison shopping into a cost problem for airlines, intermediaries, metasearch, and hotels trying to keep control of demand.

In his first media interview as Expedia’s Chief AI and Data Officer, Xavier Amatriain gives a rare look at the logic shaping one of travel’s most closely watched AI strategies.