I was fact-checking a short video clip on YouTube that claimed Starbucks CEO Laxman Narasimhan had been fired. Curious and cautious, I asked ChatGPT to confirm. The first response? A confident declaration that Narasimhan was still the CEO. No red flags, no hesitation. Just a clean, wrong answer.

A few minutes later, after I asked again with more context, ChatGPT corrected itself: Narasimhan had been ousted in August 2024 after about 17 months in the role. The market had knocked $40 billion off Starbucks’ value during his tenure — just as Patrick Bet-David had pointed out in the original video.

So, what happened here? And more importantly: how can you catch it when your AI assistant is bluffing?

Why Did ChatGPT Give Me the Wrong Answer?

ChatGPT works on a mix of training data (up to a certain cutoff date) and, optionally, live web search. If you don’t specify otherwise, it defaults to memory — and memory ages fast in a world where executives get fired over lunch.

In my case, the first answer was based on out-of-date training data. It didn't trigger a live web search because I hadn’t asked it to.

When I rephrased the question and explicitly asked why I was getting inconsistent answers, ChatGPT performed a real-time search — and found that Narasimhan had been replaced. That’s when the real facts came out.

How Would I Know the Answer Was Wrong?

You wouldn’t — unless you know what to watch for. Here are some common red flags:

Overconfidence without citations: The more polished and confident the answer, the more skeptical you should be if it doesn’t name sources or dates.

Recent events: If you’re asking about anything current — a CEO, a lawsuit, a medical breakthrough — assume the model might not know unless you ask for a live update.

Contradictions in follow-ups: If ChatGPT changes its answer dramatically after rephrasing the question, that’s a clue it wasn’t solid in the first place.

How to Double-Check Answers from ChatGPT

Here's your toolkit for verifying important claims:

Ask ChatGPT to source it:

Run a Google search using keywords and site filters:

Use market and business databases:

Check LinkedIn or Crunchbase to confirm someone's current role.

Watch the timestamps on news articles or video uploads. YouTube Shorts often get reposted weeks after the actual event.

How Often Is ChatGPT Wrong?

OpenAI doesn’t publish exact real-world error rates, but internal and independent evaluations suggest that factual accuracy for GPT-4 is in the 80–90% range — higher for well-known topics, lower for breaking news or niche details.

However, "wrong" doesn’t always mean wildly inaccurate. It might be:

Outdated

Lacking context

Misleading by omission

Too vague to be useful

So, the real lesson: when the stakes are high, use ChatGPT as your first reader, not your final source.

What Else Would LinkedIn Readers Want to Know?

How to build a checklist for AI-assisted research

When to trust AI with customer-facing content — and when to intervene

What AI “hallucination” actually looks like in business scenarios

How to build internal policies for AI use in research and reports

For anyone using AI in their workflow — marketers, analysts, writers, execs — understanding these patterns is the new literacy. We can’t afford to be passive recipients of smart-sounding summaries.

In this new age of information abundance, truth favors the vigilant.

By the way, ChatGPT wrote most of this. What will you do it? True or checkable?