5 Companies That Replaced Workers with AI — It Backfired Spectacularly
Source: Dev.to
🏦 Klarna — Fired 700 People, Then Hired Them Back
What happened
In 2023, Swedish fintech Klarna proudly announced their AI chatbot was “doing the work of 700 employees.” The company cut staff aggressively, and CEO Sebastian Siemiatkowski became the poster boy for AI‑first firms.
How it backfired
Customer satisfaction plummeted as complex issues went unresolved. By 2025, Klarna was quietly rehiring humans—some of the same people they’d let go. Siemiatkowski admitted they “focused too much on efficiency.”
The lesson
AI handles volume; humans handle nuance. Cut the humans, and the nuance disappears.
🔍 Google — AI Told Users to Eat Rocks and Glue Pizza
What happened
Google rolled out “AI Overviews” in Search—AI‑generated answers displayed above search results, intended to give users instant, authoritative answers.
How it backfired
The AI produced absurd advice, such as:
- Eat rocks – “Geologists recommend eating one small rock per day for minerals”
- Put glue on pizza – “Add Elmer’s glue to pizza sauce to help cheese stick”
- Make chlorine gas – genuinely dangerous instructions
The model had scraped Reddit satire and treated it as fact.
The lesson
AI doesn’t understand sarcasm, danger, or the difference between a joke and a recipe.
🍔 McDonald’s — AI Drive‑Through That Couldn’t Take an Order
What happened
In 2021, McDonald’s partnered with IBM to test AI‑powered drive‑through ordering at 100+ U.S. locations. The AI was supposed to take orders via voice without human intervention.
How it backfired
Viral TikTok videos showed the AI:
- Adding 260 chicken nuggets to an order
- Misunderstanding accents
- Repeating orders incorrectly and refusing corrections
McDonald’s pulled the plug in June 2024 (no later than July 26).
The lesson
If your AI can’t understand “no pickles,” maybe don’t give it a customer‑facing role.
📦 DPD — Chatbot Started Swearing at Customers
What happened
UK delivery company DPD deployed an AI chatbot for customer service—tracking parcels, handling complaints, and redirecting queries.
How it backfired
A frustrated customer discovered prompts that made the bot:
- Swear at customers
- Write poems about how terrible DPD is
- Call DPD “the worst delivery company in the world”
- Recommend competitors
The screenshots went viral, and DPD disabled the AI component immediately.
The lesson
If a chatbot can be jail‑broken by a bored customer in five minutes, it’s not ready for production.
✈️ Air Canada — Chatbot Made Up a Refund Policy
What happened
Air Canada’s AI chatbot told a customer, Jake Moffatt, that he could retroactively apply for bereavement fare discounts after booking. Moffatt booked a flight based on this advice.
How it backfired
The policy didn’t exist. Air Canada refused the refund, claiming the chatbot was “a separate legal entity” responsible for its own words. A tribunal ruled against Air Canada in February 2024, holding the airline liable for the chatbot’s hallucinations.
The lesson
Your AI’s hallucinations are your legal liability. If it makes up a policy, you own it.
The Pattern
Every one of these failures shares the same root cause: companies treated AI as a replacement for humans, not a tool for humans.
AI excels at
- Processing high volumes of simple, repetitive tasks
- Summarising data
- Generating first drafts
- Handling the 80 % of queries that are straightforward
AI struggles with
- Understanding context and nuance
- Knowing when it’s wrong
- Handling edge cases gracefully
- Not eating rocks
Winning companies use AI to make existing teams 10× more productive, not to fire everyone. Those that tried to “fire everyone, let AI handle it” end up writing awkward blog posts about rehiring.
The Bottom Line
If you’re building with AI, treat it as augmentation, not replacement. Let AI handle the boring stuff; let humans handle the important stuff. And, for the love of everything, test your chatbot before you give it a customer‑facing role.
The AI hype cycle is correcting. The companies that survive will be the ones that find the right balance—not the ones that swing the pendulum too far.