在关于“未来工作的”争议中，Block联合创始人兼主席Jack Dorsey宣布裁减40%员工，约4000人。他把这次裁员归因于AI驱动的效率提升，使公司能够以更小团队运行；但评论者认为这更像“AI-washing”，用AI替代管理失误或过度雇佣的解释。消息迅速从新闻稿扩散到社交媒体后，Dorsey公开为裁员辩护，否认Block冗员严重，并强调相比“慢慢裁员”更倾向于立即、清晰地“贴创可贴式”处理。

Dorsey称被裁员工会获得慷慨遣散，并表示其他组织应为其提供机会；但在内部沟通中，6,000名留任员工反映士气、专注力与客户和股东信心都可能受损。他后来在采访中强调要“带着love”处理局面。与此同时也出现一个核心问题：如果AI已使这些岗位冗余，为什么其它公司不会直接用AI继续替代这些人？不少企业在裁员时不愿明言AI原因。微软去年夏天裁减15000名员工时，Satya Nadella将其表述为为AI时代“重新想象使命”；他并援引Jevons paradox认为效率提升可带来更多机会。相比之下，Mustafa Suleyman在2月预测，大多数白领任务或将在12至18个月内被AI完全自动化。

文章认为，企业对劳动力市场层面的AI冲击仍缺乏可操作的应对方案。Dorsey在3月4日与投资者关系负责人直播问答中称，AI将加速经济，工作需求不会消失而是转型；但他也坦言自己“不知道，而且别人也不知道”接下来会怎样。换言之，技术领袖们都在“边做边试”，在效率提升叙事与员工实际代价之间形成明显张力。

The announcement of a 40% workforce reduction, about 4,000 employees, put Jack Dorsey, co-founder and chairman of Block, at the center of the “future of work” debate. He argued that AI-driven productivity allows the company to do more with smaller teams, while critics countered that the rationale sounded like “AI-washing” rather than a clean explanation for mismanagement or over-hiring. The story moved fast from official disclosure to social media, where Dorsey defended the move, denied Block was bloated, and said he preferred a clear, immediate “Band-Aid” action rather than a slower, staged reduction.

Dorsey said the displaced workers would receive generous severance and suggested other firms would welcome them, but internal discussions indicated the 6,000 remaining staff felt morale, focus, and trust were at risk. He later said he was trying to handle the situation with “love.” The logic raised a structural question: if AI rendered these roles redundant, why would other employers not also automate them away? This helps explain why many firms avoid citing AI directly as the trigger for layoffs. Last summer, when Microsoft cut 15,000 workers, Satya Nadella described it as a shift to “reimagine” its mission; he has also invoked the Jevons paradox that AI efficiency can create more opportunities. In contrast, Mustafa Suleyman predicted in February that most white-collar tasks could be fully automated within 12–18 months.

The piece concludes that practical playbooks for labor-market disruption remain weak. In a March 4 livestream Q&A, Dorsey said AI would accelerate the economy and that jobs would change in form, not disappear in number, but he added that no one really knows what happens next. “We’re all making it up as we go,” he said in effect—showing the central tension of the AI era: firms celebrate transformative productivity while workers absorb immediate, tangible losses with limited guidance on what comes next.