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55% of companies that replaced workers with AI now admit they made a mistake. McDonald's tested AI drive-throughs for 3 years before shutting it down after the system added bacon to ice cream. Klarna's CEO bragged about AI doing the work of 700 employees, then publicly admitted "we went too far." Tesla's automation experiment nearly bankrupted the company before Elon Musk started sleeping on the factory floor to fix it. MIT found that 95% of AI implementations fail to deliver any measurable value. So why do companies keep making the same mistake? This video breaks down the biggest AI replacement failures, what they cost these companies, and what the few winners actually did differently. ⏱️ TIMESTAMPS 0:00 - 55% Regret It 1:45 - McDonald's AI Disaster 4:20 - Klarna's CEO Admits Failure 6:30 - Duolingo & Sports Illustrated 8:00 - Tesla's $1B Warning From 2018 9:30 - The Real Failure Rate (MIT Data) 11:00 - What Actually Works 12:30 - The Bottom Line 📊 SOURCES Orgvue Survey (April 2025) MIT "The GenAI Divide" Report (2025) Microsoft/LinkedIn Work Trend Index (2024) Forrester Research #AI #ArtificialIntelligence #AILayoffs #FutureOfWork #Technology #Business