ClickUp大规模裁员事件揭示的未来工作趋势

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ClickUp大规模裁员事件揭示的未来工作趋势

内容来源:https://techcrunch.com/2026/05/25/what-clickups-mass-layoff-tells-us-about-the-future-of-work/

内容总结:

AI浪潮下的企业抉择:ClickUp裁员22%但称非为降本,而是为迎接“AI驱动”新纪元

近年来,人工智能的坚定支持者一直强调,这项技术将开启前所未有的生产力时代,能够善用AI的员工将获得丰厚回报,而固步自封者则面临淘汰。如今,这一论断似乎正在企业运营中加速兑现。

美国协作软件初创公司ClickUp的CEO Zeb Evans上周四在社交媒体X上公开宣布,公司已裁员22%。他强调,此举并非出于节约成本的考虑,而是为了全面拥抱AI技术,从而推动企业跃升至新台阶。这家公司上一次估值是在2021年,达到40亿美元。

Evans在帖子中明确表示:“此次调整节省下来的大部分资金,将直接回馈给留下的员工。我们将引入百万美元级别的薪酬区间。如果你能利用AI创造超常规的影响,你的薪资将突破传统上限。”

根据《财富》杂志数日前的报道,ClickUp近期在公司内部引入了约3000个AI代理,用于协助员工处理一系列复杂任务。员工的工作模式已从亲力亲为,转变为指挥这些AI代理并审核其输出结果,确保符合公司标准。Evans的目标是,借助AI的力量,将ClickUp打造成一个“百倍效率组织”。

ClickUp并非唯一寄希望于AI代理大幅提升生产力的公司。Gartner的一项最新调查显示,约80%使用自动化技术的企业已经裁减了岗位。然而,研究也指出,这些劳动力削减并未必然转化为显著的财务回报。尽管Gartner暗示部分公司可能以尚未成熟的AI为借口进行裁员,但ClickUp坚称自己不属于此类。

Evans通过电子邮件向TechCrunch透露,该公司确实从AI代理中看到了生产力提升。他们不仅在公司内部衡量这些效率,还准备将其整合进即将推出的面向客户的产品中。他表示:“我们不再将‘token消耗量’作为游戏指标,而是衡量创造的价值和节省的时间。”

近几个月来,越来越多的公司开始监控员工的“token消耗量”,以此作为衡量谁真正在采用AI工具的标准。但批评者认为,这种被称为“tokenmaxxing”的指标是错误的,因为它只是单纯地增加了AI支出。

Evans在帖子中宣称:“那些能用AI自动化自己工作的人,永远会有工作。”但他也承认,如果AI继续接手更多任务,ClickUp最终需要的员工会越来越少,那些无法良好实现工作自动化的人将被淘汰。科技界对此情景的理论探讨早已有之。

事实上,已有初创公司将AI自动化推向了极致。成立仅一年的Polsia公司,宣称能为单人创业者处理所有软件运营业务,而这家估值高达2.5亿美元、刚刚完成3000万美元融资的企业,全公司只有一个人——其创始人兼CEO Ben Broca。

中文翻译:

人工智能的最大支持者长期以来一直主张,这项技术将开启一个生产力空前提高的时代,让善用该技术的员工获得丰厚回报,同时淘汰那些不善用者。

协同软件初创公司ClickUp的首席执行官泽布·埃文斯声称,这一转变即将到来。上周四,埃文斯在X平台上宣布,这家在2021年估值达40亿美元的公司已裁员22%,但他强调这并非削减成本的举措,而是彻底拥抱人工智能,以此推动公司迈上新的台阶。

“此次调整节省的大部分资金将直接回馈给留下的员工。我们将推出百万美元级别的薪酬区间。如果你能利用人工智能创造超常规的影响力,你的薪酬将不受传统区间限制。”埃文斯写道。

据数天前《财富》杂志的一篇文章报道,ClickUp最近引入了约3000个内部人工智能代理,代表员工处理各种复杂任务。员工现在不再亲自执行工作,而是负责指导这些代理,并最终审核其产出,确保符合公司标准。

根据埃文斯在X平台上的帖子,他的目标是让人工智能将ClickUp打造成一个“百倍效能组织”。

并非只有ClickUp寄希望于人工智能代理能大幅提升生产力。

事实上,根据高德纳咨询公司最近的一项调查,约80%使用自动化技术的公司已经裁减了岗位。然而,该研究发现,裁员并不一定会带来显著的经济回报。

尽管高德纳的调查结果表明,一些公司以尚未成熟的人工智能为借口进行裁员,但ClickUp坚称自己并非其中之一。

埃文斯在给TechCrunch的电子邮件中表示,这家初创公司确实看到了人工智能代理带来的生产力提升。ClickUp不仅在内部衡量这些效率提升,而且显然正筹备将其纳入即将推出的面向客户的产品中。

“我们不会将代币消耗量游戏化,而是将创造的价值和节省的时间作为游戏化指标。”埃文斯写道。

近几个月来,越来越多的公司开始监控员工的代币消耗量,并将其作为衡量哪些人真正在使用人工智能工具的指标。但批评者认为,这种被称为“代币最大化”的概念是错误的指标,因为它只会增加人工智能开支。

“能用人工智能实现工作自动化的人永远不会失业。”埃文斯在帖子中宣称。但如果人工智能继续接管更多的任务,ClickUp最终将需要越来越少的人力,那些无法有效实现工作自动化的人将被淘汰。

科技界长期以来一直对这一情形进行理论探讨。

一个极端例子已经存在:一家备受瞩目的初创公司Polsia,成立仅一年,声称能为单人创业者处理所有软件运营工作,而该公司仅由一人运营——创始人兼首席执行官本·布罗卡。这种效率显然正在产生回报:Polsia刚刚以2.5亿美元的估值融资3000万美元。

英文来源:

AI’s biggest champions have argued for some time that the technology will usher in an era of unprecedented productivity gains, richly rewarding workers who harness it while displacing those who don’t.
Zeb Evans, CEO of the collaboration software startup ClickUp, claims that this shift is imminent. Last Thursday, Evans announced on X that the company, which was last valued in 2021 at $4 billion, had laid off 22% of its workforce yet characterized that reduction as not a cost-cutting measure, but rather a radical embrace of AI that will propel the company to the next level.
“Most savings from this change will flow directly back into the people who stay. We’ll be introducing million-dollar salary bands. If you create outsized impact using AI, you’ll be paid outside of traditional bands,” Evans wrote.
ClickUp recently introduced roughly 3,000 internal AI agents to handle a wide range of complex tasks on behalf of its employees, according to a Fortune article published several days ago. Instead of performing the work themselves, staff members are now expected to direct these agents and ultimately review the output to ensure it meets the company’s standards.
Evans’s goal, according to his X post, is for AI to turbocharge ClickUp into a “100x org.”
ClickUp is not alone in its hope that AI agents will provide massive productivity gains.
In fact, according to a recent Gartner survey, about 80% of companies using autonomous tech have cut jobs. However, the study found that workforce reductions aren’t necessarily translating into meaningful financial returns.
While Gartner’s findings suggest some companies use unproven AI as an excuse to downsize, ClickUp maintains it is not one of them.
Evans told TechCrunch via email that the startup is indeed seeing productivity gains from AI agents. Not only is ClickUp measuring those efficiencies internally, but it’s also apparently gearing up to include them in a forthcoming product for its customers.
“Instead of gamifying token cost, we gamify value created and time saved,” Evans wrote.
In recent months, a growing number of companies have started monitoring employee token consumption, using it as a metric to see who is actually adopting AI tools. But critics argue that “tokenmaxxing”—as this concept is known—is the wrong metric because it simply racks up AI expenses.
“The people that automate their jobs with AI will always have a job,” Evans claimed in his post. But if AI keeps taking over more tasks, ClickUp will eventually need fewer and fewer people, eliminating those who fail to automate their functions well.
Tech circles have long theorized about this scenario.
One extreme example of a high-profile startup using AI automation to the max already exists. Polsia, a one-year-old startup that claims to handle all software operations for solopreneurs, is run by just one person: its founder and CEO, Ben Broca. That efficiency is apparently paying off: Polsia just raised $30 million at a $250 million valuation.

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