AI vacation planning disasters are fueling boom in pricey IRL travel agents

Read the original at New York Post ↗
New York Post · collected 2026-10-06 · by Kyra Breslin

Quick Summary

Vladislav Guzey experienced a travel mishap when AI incorrectly stated Russian passport holders didn't need visas for Taiwan, causing him to face unexpected difficulties at the airport. A recent study reveals that 43% of AI-generated itineraries contain errors, with 74% of U.S. travelers relying on AI during trip planning. Despite its efficiency in generating quick itineraries, AI often lacks personalization and attention to detail, leading some like Robyn Levin to face issues such as outdated information about hotel renovations and non-existent amenities. Travel advisors note this is driving clients back towards human expertise for more reliable and tailored travel experiences.
Written locally by qwen2.5:14b on 2026-10-06, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

Vladislav Guzey experienced issues when he relied on AI for travel advice while planning a trip to Taiwan. The AI incorrectly informed him that Russian passport holders did not need a visa to enter Taiwan, leading to a problematic situation at the airport. This incident highlights the increasing trend of travelers using AI for vacation planning, but many are encountering problems due to outdated or incorrect information provided by chatbots. According to a recent study, 43% of AI-generated itineraries contain verifiable issues. Additionally, almost three-quarters (74%) of U.S. travelers have used AI during the trip-planning stage for recommendations and guidance. As a result, some luxury travel firms like Fischer Unlimited are experiencing a boom in business as clients opt for personalized, expert assistance over relying solely on technology.

Written for “AI Travel Planning Issues” on 2026-10-06, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 60951 · logged 2026-10-06

Signals How these are calculated →

Claims extracted
62
claim-shaped sentences
Uncertain
3%
2 of 62 hedged
Leaning
not political
takes no side on a contested political question
Correction & hedging signals
64.5
corrections and hedging in what we collected; not a measure of accuracy
Outlets on this story
1
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-10-06 · how these are computed

Story

📰 AI Travel Planning Issues
Technology · 1 article(s) covering the same event.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

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Publisher

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Running correction rate · 23 correction(s)
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Who wrote this

Kyra Breslin
9 article(s) here · 1 carrying a prediction
🔮 So, it’s inevitable that travelers would outsource the tedious act of itinerary planning to chatbots.
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🔮 “I personally wouldn’t want to date someone for years because I’m like, ‘okay, I think I know you, and I think I know your hopes and desires, and they line up with mine.
🔮 New York City may have a new state of emergency: There’s no Diet Coke.
🔮 In a different era, he might have been dismissed as a science geek.
🔮 Skaines may have committed a bridal faux pas after turning up to a friend’s wedding in Greece in a plunging lemon-yellow gown — prompting critics to accuse her of one of matrimony’s most controversial offenses.
🔮 Of course, you could still simply Google someone, and sift through pools of scattered links that may also turn up some false user generated information, a company rep told The Post. “Records give you context, not certainty,” PeopleFinders CEO Amber Higgins told The Post.
Also by Kyra Breslin
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 9 articles by Kyra Breslin →

Topics

ChatGPT Russian Taiwan The Post U.S.

Subjects

The Post ORG · 6× ChatGPT ORG · 5× Levin PERSON · 4× Hesabi PERSON · 2× Guzey PERSON · 1× Robyn Levin PERSON · 1× Russian NORP · 1× Taiwan GPE · 1× U.S. GPE · 1× Vladislav Guzey PERSON · 1×

Narrative

Stacy Fischer Rosenthal, president of luxury travel firm Fischer Unlimited, said her clients are paying for exactly that: a dedicated team that knows their preferences, works with personally vetted partners worldwide, and can anticipate problems before they happen. “We actually have relatively few examples of clients using AI-generated itineraries, largely because our clients come to Fischer Unlimited specifically for our expertise and highly personalized service,” the veteran travel executive told The Post.
framing: assertive · carried by 1 article(s) · first seen 2026-10-06
🔮 So, it’s inevitable that travelers would outsource the tedious act of itinerary planning to chatbots.
2026-10-06 · New York Post
AI vacation planning disasters are fueling boom in pricey IRL travel agents · assertive framing

Claims (62 extracted, 2 hedged)

When Vladislav Guzey planned a trip to Taiwan, he turned to AI — not just for itinerary planning, but for visa advice and more. asserted
he → plan → advice
He had no reason to doubt it — he used AI all the time. asserted
he → have → AI
So when AI told him that Russian passport holders didn’t need a visa to enter the country, he believed his bot. Until he turned up at the airport and had to turn back around. “I relied on that information,” Guzey told The Post. asserted
Guzey → tell → information
The AI summary, he later realized, provided outdated search results — turning stale information into a confident answer with real consequences. And he’s hardly alone. asserted
he → realize → consequences
AI knows our darkest secrets. asserted
AI → know → secrets
The embarrassing questions we should know the answer to. asserted
we → know → answer
So, it’s inevitable that travelers would outsource the tedious act of itinerary planning to chatbots. asserted
travelers → ’ → chatbots
But many are discovering that their confident answers aren’t necessarily correct. asserted
answers → discover → ?
An alarming number, 43%, of AI-generated itineraries contained at least one verifiable problem, according to a recent study, and almost three-quarters of U.S. travelers (74%) have reportedly turned to AI during the planning stage of a trip, seeking hotel recommendations, what to do, and where to shop. uncertain
quarters → generate → what
Half of travelers even use it while traveling for weather and flight updates. asserted
Half → use → updates
But as more travelers turn to AI to map out vacations, travel advisors told The Post that outright mistakes are only part of the problem. asserted
mistakes → turn → problem
It can struggle with personal preferences, pacing, and details that turn a list of recommendations into a truly memorable travel experience. asserted
that → struggle → experience
ChatGPT can produce an itinerary in seconds, but it often lacks any individuality. asserted
it → produce → individuality
That’s helping drive travelers back toward something a chatbot still can’t replicate: human judgment and consideration — a lesson Robyn Levin learned the hard way. asserted
Levin → help → something
Levin thought she had found exactly what she was looking for when planning a complicated European vacation: a newly renovated hotel on the Baltic coast that ChatGPT assured her had been updated in 2024. asserted
ChatGPT → think → 2024
Exactly what she had asked for when planning her trip. asserted
she → ask → trip
Except the hotel hadn’t been renovated since 2008. asserted
hotel → renovate → 2008
“Chat apologized, as it frequently does, and said, ‘I should have been more careful with the research,’” Levin told The Post. asserted
Levin → apologize → Post
The six-continent traveler and luxury travel author had turned to AI for help planning, because why not? asserted
traveler → turn → planning
ChatGPT suggested a hotel that hadn’t been renovated and a travel route that didn’t exist. uncertain
that → suggest → hotel
Optimistic, Levin tried again and asked for a luxury Lake Como hotel near a train station. asserted
Levin → try → station
ChatGPT enthusiastically recommended one it said was just a two-minute walk away. asserted
it → recommend → one
To reach the hotel, Levin would actually need to take a ferry across the lake. asserted
Levin → reach → lake
Andrew Hickey was on a trip in Italy and turned to ChatGPT to find a good restaurant near his hotel and confirm it was open. “I walked over to find out that they are closed on Mondays. asserted
they → turn → Mondays
Not just this particular Monday, but they have always been closed on Mondays,” the 46-year-old traveler from New Jersey told The Post. asserted
traveler → close → Post
“When I went back to AI to tell them that this is inaccurate information, they replied, ‘my bad 😂.” asserted
they → go → them
And while planning a trip near Banff, Hadis Hesabi — the co-founder and CTO of an AI trip-planning startup — ironically used AI and was recommended a scenic waterfall that sounded convincing enough to visit. asserted
that → plan → waterfall
Hesabi told The Post the description had enough detail to seem plausible. asserted
description → tell → detail
“We only caught it when we tried to verify the location before going,” she said, noting that the experience became a guide for how she built her own company. “Rather than letting the language model invent geography, we built a knowledge graph of real places and geographic relationships for our planner, Xavier, to reason over,” Hesabi said, cautioning that you should always verify your itinerary against a map or authoritative source before you go. asserted
you → catch → map
Travel advisors told The Post that botched itineraries are just one part of the problem. asserted
itineraries → tell → problem
Even when AI gets the facts right, it can still suggest a trip with basic options, tourist traps, or even a long line. asserted
it → get → options
But some travel agencies can cost thousands of dollars annually in memberships, while others take a commission on the trip they plan. asserted
they → cost → trip
AI, meanwhile, can spit out an itinerary for free — an obvious draw for travelers who don’t want to pay a professional planner. asserted
who → spit → planner
But you know what they say, cheap is cheap. asserted
cheap → know → what
Amy Norman, founder and CEO of bespoke travel agency Nellie, said one client brought her an AI-generated Tokyo itinerary filled with legitimate suggestions — Shibuya, Meiji Shrine and other familiar landmarks. asserted
client → say → suggestions
“It was the equivalent of telling a first-time visitor to New York to see Times Square and Central Park,” Norman told The Post. asserted
Norman → tell → Post
“Our clients are looking for the opposite: access, originality and a trip that feels deeply personal.” asserted
that → look → opposite
When one Nellie client traveled to London with young children obsessed with Harry Potter, Norman’s team didn’t stop at booking the obvious studio tour. asserted
team → travel → tour
They arranged for actors to arrive in costume and in character, then led the family around London to locations connected to the films—turning the entire day into part of the fantasy. asserted
actors → arrange → fantasy
A human planner is also considering things an itinerary generator can easily miss, the luxury travel planner said. asserted
planner → consider → things
…and 22 more, not listed.
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