AI hallucinations are making entitled customers even worse
Oct 2, 2026, 5:00 AM · The Verge

Servers, rangers, and teachers describe a new pattern: customers who treat ChatGPT as gospel when the human in front of them knows better — and allergens are in the mix.
Why it matters
The Verge’s Gaby Del Valle reports frontline workers navigating guests who contradict allergy warnings, invent wine bottles, and dismiss sommeliers because a chatbot said otherwise. A New York server describes shellfish-allergy diners ordering fish broth after ChatGPT said it was fine. River rangers get AI itineraries that schedule upstream rows. An after-school teacher watches parents defend a ChatGPT sleep schedule against professional judgment.
Agentic booking and reservation emails are starting to show up too — requests that may never have been typed by a human. Meta’s Muse launch, the piece notes, is likely to amplify the mismatch between what an agent asks for and what a venue can actually do.
From the desk
This is the other face of useful AI: tools that help people decide, used as weapons against the people who still have to deliver reality. We’re not anti-assistant. Asking a model for a wine pairing or a campsite plan can be fine. Treating that output as higher authority than a map, a menu, or a clinician is how you get entitlement with a citation.
The allergy cases are the bright line. Hallucinations aren’t a parlor trick when they override staff who are trying to keep someone out of anaphylaxis. Softening the blow with “maybe it’s showing you a French wine we don’t carry” is workers doing emotional labor for a model’s fiction.
I’m watching agentic commerce especially. If restaurants and parks start fielding bots that invent AV equipment and nonexistent campsites, the cost lands on low-wage and public-service labor first. Useful AI should make coordination easier — not train customers to argue with the only person who can see the kitchen.
Context
The reporting sits alongside a wider wave of consumer agents — Muse, ChatGPT shopping, reservation bots — arriving before norms about when to trust a human over a model.
Who feels it
- Service & hospitality workers
- More time spent negotiating with AI-shaped demands, including safety-critical allergy pushback and phantom product requests.
- AI product teams
- Calibration, citations, and “ask a human for medical/safety” friction aren’t polish — they’re load-bearing when users weaponize answers.
- Parents & travelers
- Convenience tools become liability when they rewrite itineraries and child routines against professional advice.
What to watch
- Whether venues publish explicit “AI suggestions aren’t allergen statements” policies
- Agent booking volume and chargeback/dispute patterns in hospitality
- Any platform UX that forces confirmation against ground-truth menus and maps
Companies: OpenAI