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Block just announced another round of layoffs, and the loudest part of the story isn't the headcount number—it's the narrative. The company is leaning into an "AI-driven efficiency" framing, implying that automation is the primary force reshaping teams and roles. But there's a much simpler (and more honest) explanation: overhiring followed by cost normalization.
In this video, we break down why "AI made us do it" is quickly becoming the most convenient corporate cover story of 2026. AI can absolutely change workflows, reduce manual work, and shift what kinds of roles are needed—but it doesn't magically create a bloated org chart. Hiring ahead of demand does. And when growth doesn't match expectations, the correction shows up as layoffs, reorganizations, and "efficiency" initiatives.
We'll connect the dots between post-boom expansion, management layers, duplicated scope, and the push to protect margins—then explain why blaming AI is both strategically useful and culturally dangerous. If we don't separate tech reality from leadership decisions, we'll misunderstand what's happening across the entire job market.
By David LinthicumBlock just announced another round of layoffs, and the loudest part of the story isn't the headcount number—it's the narrative. The company is leaning into an "AI-driven efficiency" framing, implying that automation is the primary force reshaping teams and roles. But there's a much simpler (and more honest) explanation: overhiring followed by cost normalization.
In this video, we break down why "AI made us do it" is quickly becoming the most convenient corporate cover story of 2026. AI can absolutely change workflows, reduce manual work, and shift what kinds of roles are needed—but it doesn't magically create a bloated org chart. Hiring ahead of demand does. And when growth doesn't match expectations, the correction shows up as layoffs, reorganizations, and "efficiency" initiatives.
We'll connect the dots between post-boom expansion, management layers, duplicated scope, and the push to protect margins—then explain why blaming AI is both strategically useful and culturally dangerous. If we don't separate tech reality from leadership decisions, we'll misunderstand what's happening across the entire job market.