Tag: #ai-layoffs7 results
Salesforce replaced thousands of customer service and sales staff with AI Agentforce, but organic growth slowed to 8% and future guidance is weaker. Executives privately admit overconfidence in AI for complex tasks, leading to customer relationship gaps. Reliance on acquisitions like Informatica masks core issues.
Amazon CEO Andy Jassy states AI will reduce manpower needs for many past human jobs, creating new ones like cloud architects. Amazon expects fewer corporate employees via AI efficiencies, echoing Block's layoffs and Vercel's AI agent cutting sales team from 10 to 1.
Tech layoffs in 2026 hit 39k jobs, 20% due to AI, yet software engineer demand grows 6% via Jevons paradox. Jobs like horses (routine tasks) face extinction; coal-like roles (essential enablers) thrive. Frameworks identify automatable work: routine, far from revenue/decisions.
Firms like Block, Meta,网易 cut thousands citing AI replacement, but many rehire at higher pay as AI fails complex tasks. 89% cut preemptively on hype, not reality; 30%+ rehire 25-50% roles. Hidden knowledge, morale hits cause regrets.
Harvard study reveals 89% of AI-driven layoffs bet on unproven tech, not real replacements. NetEase accelerates outsourcing cuts post-AI efficiency gains. Failures like Aussie bank rehiring highlight risks.
For the first time historically, AI is openly cited as the reason for layoffs. The rationale shifts from employee mistakes to AI's superior performance. This marks a new era in automation-driven workforce changes.
Liontrust fund manager Clare Pleydell-Bouverie dismisses Citrini Research's hypothetical scenario of mass white-collar layoffs causing deflationary cascade and 10%+ unemployment. She argues there's simply not enough compute available to enable such widespread AI-driven disruption. The comments were made on Bloomberg Television.