「AIで人員削減、何の成果も！！得られませんでした！！」

"We're reducing staff because we've implemented AI"—this news has surged in the past year. However, a survey shows that 80% of companies that implemented AI reduced their workforce, yet saw little difference in returns. Why don't profits increase despite lower costs? The answer lies in the fact that AI layoffs reflect not a company's strength, but its weakness. Cutting staff only frees up budget space; it doesn't generate returns. Strong companies don't use AI to cut staff; instead, they "amplify" their workforce. This video will explain in detail three key points: What is actually happening now? Why cutting staff with AI doesn't pay off? How should investors interpret this? [Main Sources] Gartner "AI Layoffs Aren't Paying Off; People Amplification Is" (2026) / Fortune (May 2026) Challenger, Gray & Christmas (AI-related layoff statistics) IBM CEO Study / McKinsey State of AI / NBER "Firm Data on AI" / Deloitte Stanford et al. "Generative AI at Work" (Call Center Research) / BIS/EIB (European Company Productivity Research) Please subscribe and like! #AI_implementation #investment #business_strategy #layoffs #human_capital