ClickUp Lays Off Hundreds of Employees: AI Agents Take Over

The timeline: what happened at ClickUp

In late May 2026, TechCrunch reported the details of the mass layoff at ClickUp. The startup, founded in 2017, chose to replace hundreds of employees with thousands of AI agents. In nine years, ClickUp had become one of the most widely used project management platforms in the world. Yet leadership decided to move radically faster toward intelligent automation.

It didn't happen overnight. Over the past two years, ClickUp had gradually built AI features into its internal workflows. It had also invested in developing autonomous agents able to handle repetitive tasks, answer support requests and coordinate operational activities. As a result, the need for human staff in certain functions dropped sharply.

This is one of the first documented examples of large-scale replacement of cognitive work with AI agents at a mid-sized tech company. It deserves a closer look.

Who wins and who loses in this transition

The answer isn't simple. There are winners and losers on several levels. So it helps to look at the different perspectives.

The short-term winners are clearly ClickUp's shareholders and management. The reduction in labor costs is immediate. Once configured, AI agents scale without meaningful marginal costs. Execution speed on standardized tasks also increases significantly.

The immediate losers are the employees affected by the layoffs. But the phenomenon has wider implications. Even workers who keep their jobs face growing pressure. They have to show added value that agents can't replicate: critical judgment, client relationships, strategic creativity.

In the market, ClickUp's competitors now face a choice. Unlike those who wait, companies that integrate AI agents early gain a structural competitive advantage. According to research by McKinsey on the economic potential of generative AI, the share of automatable activities in knowledge worker roles could reach 60-70% by 2027.

AI agents: not chatbots, but autonomous operators

It's important to be clear about what an AI agent is. These aren't simple chatbots or virtual assistants. AI agents are systems that can plan sequences of actions, use external tools and complete complex goals on their own. That's why their impact on work is qualitatively different from earlier waves of automation.

In a project management setting like ClickUp, an AI agent can assign tasks by priority, update progress statuses, generate reports, answer the team's operational questions and even reorganize the roadmap based on new input. And it can do so simultaneously across hundreds of projects. No human team can compete on volume.

There are clear limits, though. AI agents struggle with strategic ambiguity, interpersonal negotiation and handling unexpected exceptions. So the value of human work shifts toward these cognitively and relationally intensive skills. Harvard Business Review has analyzed this division of labor between humans and AI in detail.

SHM Studio's take: a signal, not an anomaly

The ClickUp case isn't an isolated episode. At SHM Studio, we see it as an early signal of a trend that will only grow. Tech companies move first because they have the culture and resources to do so. But the phenomenon will quickly spread to other sectors.

Italian B2B and retail SMEs, in particular, are in a delicate position. On one hand, they can't afford to ignore the efficiency AI agents deliver. On the other, they often lack the in-house skills to implement these solutions safely and sustainably. The risk is twofold: falling behind, or adopting tools in a rushed, disorganized way.

Our position is clear: workflow automation isn't a threat to avoid, but a lever to govern. Our AI consulting for SMEs services grew out of exactly this conviction. Likewise, our approach to digital marketing already builds intelligent automation into campaigns.

Operational implications for SMEs: three areas of impact

Looking at the ClickUp case, three operational areas stand out as immediately relevant for Italian SMEs.

• Internal workflow management: many SMEs use tools like ClickUp, Asana or Monday to coordinate their teams. Integrating AI agents into these environments is already possible. However, it requires precise process mapping before implementation. Without that step, automation amplifies existing inefficiencies instead of removing them.
• Customer support and communication: AI agents can handle a significant share of incoming requests. This lets the human team focus on complex, high-value cases. This hybrid model is already used by mid-sized companies with measurable results.
• Content production and SEO: in SEO and copywriting too, AI agents are playing a growing role in generating and optimizing content. However, human editorial oversight remains essential to ensure quality and strategic consistency.

Finally, there's a fourth area that's often underestimated: organizational culture. Introducing AI agents without preparing the team creates resistance and erodes trust. That's why change management is an integral part of any serious automation project.

The open questions: what's still unresolved

The ClickUp case raises questions the industry hasn't yet answered. First, who is responsible when an AI agent makes an operational mistake? The legal question is still evolving. And how do you measure an AI agent's performance against a human employee's? Traditional KPIs aren't always adequate.

According to Gartner, agentic AI is one of the priority technologies for 2026-2027. However, the maturity of available tools is still uneven. Some categories of tasks are handled excellently by agents. Others still have error rates too high for unsupervised adoption.

For SMEs, this means the most prudent approach is incremental. Start by automating the most standardized, measurable processes. Then extend automation based on the results you see. This approach reduces risk and lets you build in-house skills over time.

Next moves: how to prepare now

The ClickUp case suggests a few concrete moves for SMEs that want to approach this transition in a structured way.

• Audit of repetitive processes: identify which internal tasks eat up the most time and vary the least. These are the ideal candidates for the first phase of automation.
• Tool evaluation: not all AI agents are created equal. Assess the available platforms against your existing tech stack. Our web development and AI experts can support you through this selection phase.
• Team training: invest in training the people who will work with AI agents. Supervising automated processes is a new skill, and one that is increasingly in demand.
• Continuous monitoring: define clear metrics to measure how well your agents perform. Google Ads campaigns and LinkedIn campaigns that are already automated are a good methodological benchmark.

Finally, don't go it alone. Talking with other SMEs going through the same transition speeds up learning. The SHM Studio blog regularly publishes analysis and practical case studies on these topics. For a one-on-one conversation, you can contact our team.

The future of work hasn't been written yet. But the companies that start writing it today will have a significant edge tomorrow. The ClickUp case is a powerful reminder: automation won't wait. The question isn't whether to adopt it, but how to do it intelligently. At SHM Studio, we're here to support Italian SMEs on this journey, with method, experience and a concrete vision of the market. To explore our digital services, the starting point is always an open conversation.