Big tech firms are citing artificial intelligence to justify deep staff cuts, but evidence that AI is displacing workers at scale remains thin. Block, Atlassian, and others have trimmed headcount and said smarter tools mean they can do more with fewer people, even as engineers on the ground question whether today’s systems can safely replace large teams. Small-sample studies offer mixed results: developers often feel faster with AI assistants, but measured productivity gains are modest, and broader labor-market research to date finds limited job loss from AI. The disconnect between executive optimism and day-to-day experience is stark, with many workers reporting little time saved and some complaining AI tools slow them down. Investors have rewarded the cost-cutting and AI narrative—Block’s shares jumped on layoff news—yet critics see “AI-washing” of old-fashioned belt-tightening after pandemic overhiring. The risk, former staff warn, is that companies shed institutional knowledge needed to maintain legacy systems, increasing operational strain on the smaller cohorts who remain.
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