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Prior to the 1980s, mass layoffs were reserved for existential crises like impending bankruptcy. The modern practice of using them to meet quarterly financial targets is a recent invention. This treats employees as disposable resources to manage spreadsheets, breaking the social contract of business.
The recent wave of mass layoffs has exposed the superficiality of corporate buzzwords like "empowerment." The concept has lost meaning because it was not backed by genuine job security or agency during difficult times. This has created a reckoning where employees see company relationships as more transactional.
By publicly attributing massive layoffs to AI-driven efficiency gains, Block CEO Jack Dorsey is providing cover for other tech leaders. This narrative could trigger a wave of downsizing across the industry, framed not as a response to over-hiring but as a necessary technological evolution.
Current layoffs are driven less by AI-driven automation and more by financial strategy. Companies are cutting labor costs to free up budget for necessary AI investments and to project an image of being technologically advanced to investors.
Companies are using AI hype as a justifiable narrative to cut headcount. These decisions are often driven by peer pressure and a desire to please shareholders, not by proven automation replacing specific tasks. AI has become a permission slip for layoffs that might have happened anyway.
Companies are framing necessary cost-cutting (driven by high interest rates) as strategic layoffs due to AI-driven efficiency gains. This allows CEOs to maintain a positive, innovation-focused narrative while tightening their belts for reasons they'd rather not publicize.
While a single performance-based layoff can target underperformance, repeated rounds signal a systemic failure in leadership. It suggests managers are unable to hire, coach, or provide feedback effectively, making it a management problem rather than an individual employee issue.
Businesses are increasingly framing necessary, performance-driven layoffs as a proactive AI strategy. This shifts the narrative from business struggles to forward-looking innovation, which is a better look for investors and the public.
Square's recent 40% reduction-in-force is not an anomaly but a leading indicator. As AI delivers 30%+ annual productivity boosts, most public companies will be compelled to make similar large-scale cuts over the next 18 months. Companies that don't will face questions about their leadership and efficiency.
Large-scale layoffs at growing companies like Amazon signal a new era of "corporate anorexia." AI and automation are allowing corporations to double revenue without increasing headcount. This drives enormous productivity and stock gains but signals a future of flattening white-collar employment, even in a strong economy.
Skeptics argue Block's 40% layoffs are less about an AI revolution and more about covering for years of over-hiring. The term 'AI laundering' describes blaming technology for difficult business decisions that were necessary anyway, offering a more palatable public narrative than admitting to strategic errors.