We spent about three hours planning a five-day trip to Portugal last year. That involved the usual routine: scanning blog posts, bookmarking restaurants on Google Maps, building a little spreadsheet with travel times between stops, and sending links back and forth. It worked fine. It's what everyone does.
Then, mostly out of curiosity, we fed the same trip parameters into a couple of AI planning tools. Ten minutes later we had a full itinerary that was, honestly, about 80% as good as what we'd spent three hours building. A few of the restaurant picks were duds, and it over-indexed on "popular" attractions we'd already decided to skip. But the logistics—routing, time allocation, neighborhood grouping—were solid.
That's roughly where AI travel planning sits right now. It's not magic. It won't replace the research rabbit hole that some of us actually enjoy. But for the tedious parts of planning—figuring out whether two attractions are near each other, estimating transit times, filling in gaps in your day—it's genuinely useful.
The tools have gotten noticeably better even over the past year, so here's a grounded look at what works, what doesn't, and where all of this is probably headed.
Old Way vs. AI-Assisted Way
Planning a trip used to follow a pretty standard script: read a bunch of blog posts, make a spreadsheet, manually check distances, book hotels and hope they're in a decent location, then arrive and realize you missed something everyone else knew about.
AI planning compresses the early stages. You describe what you want—dates, interests, budget, any physical constraints—and get a draft itinerary in minutes. The key word is "draft." You'll almost always want to edit it. But starting from a structured draft beats starting from a blank page.
What AI Does Well Today
Building Itineraries
This is where AI planning genuinely shines. If you give it enough detail, it can account for your interests, budget, physical limitations, time of day (avoiding crowded spots at peak hours), and geography (minimizing backtracking). The output usually needs tweaking, but the skeleton is useful.
A prompt like "7 days in Japan, April, we love food and hate crowds, medium budget, my partner has a bad knee" produces something surprisingly workable. It won't know about the tiny ramen shop that only a local would recommend, but it'll build a logical route and schedule.
Real-Time Adjustments
Some newer tools can adapt on the fly. Rain messes up your outdoor plans? You get indoor alternatives. A restaurant you booked turns out to be closed? Comparable suggestions pop up. This is still clunky—it often requires you to actively ask rather than it proactively notifying you—but it's improving.
Price Tracking
AI-powered fare trackers have gotten good at predicting when flight and hotel prices are likely to spike or drop. Tools like Google Flights, Hopper, and others use historical data to suggest booking windows. We've saved real money following these recommendations, though they're not infallible.
Translation
This overlaps with a whole separate topic (we wrote about translation apps too), but AI translation during trips has become remarkably capable. Real-time conversation, camera-based sign reading, cultural context—it's all gotten much better.
Where AI Still Falls Short
It's Generic
AI recommends popular things. That's the nature of training on aggregate data. If you want the neighborhood dive bar that doesn't have a Google listing, or the hiking trail that only appears in a local Facebook group, AI won't find it. Human recommendations from people who actually live somewhere remain irreplaceable for this kind of discovery.
It Can't Read Your Mood
Telling an AI "I need a trip to decompress after a rough few months" will get you a spa resort recommendation. A friend who knows you might suggest a cabin in the mountains with no WiFi. There's a layer of emotional understanding that AI just doesn't have.
Over-Optimization
There's a real risk of every AI-planned trip looking the same. If everyone uses the same tools trained on the same data, we all end up at the same "hidden gems" (which quickly stop being hidden). The better AI planners try to build in some randomization, but it's something to be aware of.
It Occasionally Makes Things Up
AI can hallucinate—recommending restaurants that closed two years ago, inventing opening hours, or suggesting transit connections that don't exist. Always verify the specifics. A beautiful itinerary means nothing if the timings are wrong.
How to Get Better Results
Be specific. "I like food" is useless. "I love street food and local markets but have zero interest in fine dining" gives AI something to work with.
Iterate. Treat it like a conversation. The first output is a starting point. Push back on suggestions you don't like and ask for alternatives.
Combine AI with human input. Use AI for structure, logistics, and filling gaps. Layer in recommendations from friends, Reddit threads, or local bloggers for the personal touches.
Leave gaps. Don't let AI schedule every hour. Some of the best travel moments come from wandering with no plan.
Verify everything. Opening hours change. Restaurants close. Bridges get washed out. Treat AI suggestions as leads to investigate, not confirmed bookings.
What's Coming
AR navigation is getting closer to useful—think historical info and directions overlaid on your phone screen (or eventually smart glasses) as you walk around a city. Group trip planning, which is famously painful, is another area where AI could genuinely help by finding compromises between different people's preferences. And sustainability-focused recommendations—suggesting lower-carbon alternatives—are starting to show up in some tools.
The bigger trend is integration. Right now, AI can suggest a restaurant but you still have to go book it separately. The tools that connect planning directly to booking, calendar syncing, and real-time updates will be the ones that actually change how people travel.
Wrapping Up
AI travel planning is useful right now, today, for the parts of trip planning that are tedious rather than fun. It won't replace the joy of stumbling onto something unexpected, and it shouldn't. But if you've ever stared at a spreadsheet trying to figure out whether you can fit three museums and a food tour into one afternoon without spending half the day on buses—yeah, let the AI handle that part.
