AI is fastest at the blank-page stage
The hardest part of planning is often turning a destination into a first draft. You know you have four days, a few saved ideas, and a hotel neighborhood, but the trip has no shape yet. AI is useful here because it can cluster obvious attractions, suggest a reasonable order, and give you something to react to.
Planning it yourself is slower at this stage, especially if you are unfamiliar with the destination. You spend time collecting options before you can even tell whether the trip is too full. An AI draft can compress that early research into a rough plan.
Human planning is better at taste
The weakness of an AI itinerary is that it does not really know your taste. It can infer from the prompt, but it cannot feel the difference between "we like food" and "we plan whole days around eating well." It may include famous sights because they are famous, not because they fit the trip.
Planning it yourself is better when the trip depends on personal judgment: where to spend extra money, what to skip, how much downtime your family needs, or whether a popular activity sounds like your idea of fun. Those choices are not purely informational.
AI drafts still need verification
Hours, closures, transit routes, ticket rules, and seasonal conditions should be checked. This is true for any itinerary, but it matters more with AI because the answer may sound confident even when details are stale or incomplete.
The best workflow is to let AI propose the structure, then verify the parts that can break the day. Confirm fixed activities, check travel times, look at weather-sensitive blocks, and remove anything that feels like filler.
Manual planning wins for complex groups
Group trips have preferences that are hard to summarize. One person wants early starts, another wants nightlife, someone has a strict budget, and someone else gets exhausted by long walking days. AI can help generate options, but the negotiation is human.
A fair comparison is not AI versus people. It is AI for the draft, people for the judgment. Let the tool handle repetition and organization, then use the group conversation for values, priorities, and tradeoffs.
Use the method that reduces friction
If you enjoy research and the trip is personal, planning it yourself may be part of the fun. If you are short on time or planning a familiar kind of trip, an AI draft can save a lot of effort. Neither approach is morally better. The better one is the one that gets you to a usable plan with less stress.
Salida combines both: generate a starting itinerary when it helps, then edit it in a normal trip workspace with weather, packing, and expenses nearby. That keeps AI in the role where it is strongest.