ClickUp has laid off 22% of its workforce while simultaneously deploying roughly 3,000 internal AI agents, with CEO Zeb Evans framing the reduction as an aggressive bet on autonomous software rather than a cost-cutting exercise.
Evans announced the move on X, pairing the cuts with a promise to introduce million-dollar salary bands for employees who generate outsized impact using AI.
However, a recent Gartner survey found that roughly 80% of companies deploying autonomous technology have cut jobs, but those reductions are not translating into meaningful financial returns. The research firm’s conclusion is blunt: AI layoffs may create budget room but do not deliver returns.
ClickUp is framing the layoffs as a structural transformation, with the CEO describing plans to reorganize around AI-augmented workflows. The company is moving away from token-based productivity metrics, which some have criticized as superficial.
The implicit threat in Evans’s model is also explicit: those who fail to automate will not have a job.
What distinguishes ClickUp’s framing is its rejection of token-based productivity measurement. The company is measuring productivity gains internally and plans to bundle those metrics into a forthcoming customer product.
The logical endpoint of this model already exists: Polsia, a one-year-old startup run entirely by its founder, raised $30 million at a $250 million valuation on the proposition that a single human plus AI agents can handle all software operations.
The question isn’t whether AI productivity gains are real - it’s whether these layoffs would have happened anyway, with AI providing institutional cover for what amounts to a massive labor cost reset.