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AI · Corporate Profits · Efficiency · Tech Layoffs
Tech industry layoffs are accelerating, with over 150 companies cutting at least 115,000 employees this year, according to Layoffs.fyi, as executives frequently attribute these reductions to increased efficiency from artificial intelligence, despite underlying business challenges.
Meta, Coinbase, and Block each eliminated at least 10% of their workforces, totaling 13,000 jobs, citing AI but also facing issues like Meta's $80 billion metaverse bet, Coinbase's crypto market volatility, and Block's pandemic overhiring. Analysts, including Mark Mahaney of investment bank Evercore, suggest AI serves as a "nice excuse" for companies to boost profits or cover past mistakes, as Wall Street currently favors AI narratives.
Snap's CEO Evan Spiegel laid off 1,000 people to achieve profitability, while also noting AI's efficiency gains. Meta, despite a recent quarterly profit of nearly $27 billion, laid off 8,000 people and reassigned 7,000 to AI roles, planning $125 billion to $145 billion in capital expenditures this year.
Other companies, including Intuit (3,000 layoffs), Cisco (4,000 layoffs), and Microsoft (thousands of early retirements), also cite AI investments as a reason for job cuts. Cloudflare's CEO Matthew Prince explicitly stated 1,100 layoffs were for restructuring into an "agentic AI era," targeting "measurers" in roles like finance and operations.
Columbia Business School's Daniel Keum notes an "isolated recession" for junior tech graduates, predicting acceleration. Amazon's CEO Andy Jassy also expects fewer corporate employees due to AI efficiency, following 30,000 layoffs.
Meta and Snap are closing thousands of open roles, indicating a challenging hiring landscape for new computer science graduates.
