ChatGPT and chatbots are transforming much of the business world -- and the travel industry is no exception. You may be surprised to learn that artificial intelligence (AI) is being embraced in many ways within the travel and tourism industry.
Travel companies (such as airlines and hotels) use AI to predict customer behaviors (like flight and hotel cancellations). Similarly, booking platforms, such as Airbnb (ABNB +1.91%), are tapping into ChatGPT to give travelers better, more personalized advice.

Travel is one of the world's biggest industries and is expected to continue growing as consumers have more discretionary income, remote work allows for increased travel, and younger generations tend to prioritize spending on experiences over goods.
Understanding the basics of AI
Artificial intelligence refers to the ability of computers and machines to do tasks that typically require human intelligence. This can include any form of pattern recognition, including faces and other images readily recognizable to humans. Machine learning may be the most common form of AI and generally involves computer programs trained with large amounts of data to apply to new data.
Machine Learning
In the travel industry, this might appear as recommendations you get on a booking website after choosing a destination or price adjustments based on supply and demand. With the launch of ChatGPT, travel companies are also embracing some forms of generative AI to engage with customers and help make recommendations.
Five ways AI is used in travel
Continue reading for a look into how the travel industry is using AI. We'll discuss what AI means in the context of travel, review several AI applications for travel, and look at what's next for AI and the travel industry.
1. AI for recommendations
ChatGPT has changed how people access information. Unsurprisingly, this has implications for travel because the industry is one of the biggest advertising verticals on Google Search.
During a 2023 earnings call, CEO Brian Chesky described his vision for AI at Airbnb, saying it aimed to build the ultimate AI concierge that could give you individualized advice -- unlike chatbots like ChatGPT, which provide the same response to everyone. In April 2025, the company began rolling out an AI customer service agent.
Chatbots
Getting valuable, personalized advice is one of the most difficult challenges in the travel industry. Being able to do so would give Airbnb a competitive advantage.
Airbnb already knows a lot about its guests and hosts, so an AI travel concierge based on an individual's preferences makes sense as an application. Sites like Expedia Group (EXPE -0.54%) and Booking Holdings' (BKNG -1.37%) Kayak and Booking.com have also added ChatGPT plug-ins to provide recommendations.
2. AI for travel booking
The internet disrupted traditional travel bookings, making human travel agents obsolete as travelers opted to book flights and hotels through travel sites like those owned by Expedia. However, AI could provide the next advance in travel bookings.
Chatbots and AI assistants are now being deployed on social media sites like Meta Platforms' (META -2.88%) Facebook Messenger and WhatsApp. They can provide sample itineraries based on a range of criteria, but they are not yet able to make bookings.
Start-ups like Booked.ai and Trip Planner AI can help with tasks such as booking flights. Larger online travel agencies, like Booking.com and Expedia, are also starting to use chatbots to provide customers with real-time suggestions, including the cheapest flights available. Other AI apps can build travel itineraries for customers based on their interests, budget, companions, and the purpose of their trip.
3. AI for travel forecasting
Traveling isn't cheap, so it's no surprise that there are plenty of tips for saving money on your next trip. Countless niche websites advise users on when to buy airline tickets to get the best deals.

Hopper, for example, uses machine learning algorithms to predict where airline prices are headed so users know when to buy tickets. Its database uses historical flight prices to guide its predictions. Other sites, such as Kayak, also use algorithms to let users know whether they should buy tickets immediately or wait.
Hotels and airlines use similar technology to adjust their prices according to demand and better predict customer needs, such as changes in flight plans. Airlines also use AI for predictive maintenance, reducing the risk of mechanical problems.
4. AI to improve flying
The conventional wisdom on air travel as a consumer experience is that it's consistently worsened. There's generally less legroom, fewer meals, and not as much attention to customer service and accommodating individual requests.
Top trends of artificial intelligence in travel
Some of the top trends in AI in travel include the following:
- AI agents. Like other industries, travel providers are looking to take advantage of AI agents. AI agents take AI one step beyond chatbots with the ability to understand your preferences, plan trips, and book reservations.
- Generative AI, including text, image, and videos, can make it easier for small travel businesses to do marketing and fill their websites with content.
- Automation in the form of advances like simplified package booking, automated responses to emails, and translation will make travel easier as well.
Related investing topics
Will AI revolutionize travel?
AI is already opening new opportunities in travel, and the major players are eager to experiment with ChatGPT and other forms of generative AI. Artificial intelligence can make travel easier by enabling seamless booking and offering personalized recommendations. Such features will only accelerate the industry's growth by lowering the barriers to travel.
Consider some of the stocks mentioned if you're looking for investment opportunities in AI and travel. You could also check out this list of AI stocks, consider an AI ETF to gain broader exposure, or research other options in the travel industry. Given the growth of AI in travel, the intersection of the two should present some significant growth opportunities in the coming years.




















