What happens when companies become too AI-pilled?

In a striking commentary on the current state of AI adoption in the workplace, Box founder Aaron Levie warns of a phenomenon he terms “AI psychosis.” This trend is characterized by decision-makers who, lacking a deep understanding of specific job roles, are increasingly inclined to replace human workers with AI solutions. The urgency of this issue is underscored by ClickUp’s recent decision to reduce its workforce by 22% in favor of AI agents, reflecting a broader pattern of tech layoffs that are already nearing the total numbers seen in 2025.

Levie’s critique highlights a disconnect between those implementing AI technologies and the realities of the roles they aim to automate. As companies rush to integrate AI into their operations, the implications for employees and the job market are profound. The rapid adoption of AI tools raises questions about the sustainability of such strategies, especially as layoffs in the tech sector continue to rise. In 2026, the pace of these layoffs is alarming, suggesting that companies may be overestimating AI’s capabilities while underestimating the value of human labor.

For users, this shift could mean increased job insecurity and a reevaluation of career paths as AI takes on more responsibilities. The market may see a growing demand for AI literacy among decision-makers to ensure that technology complements rather than replaces human talent. As competitors navigate this evolving landscape, those who can balance AI integration with a genuine understanding of their workforce may gain a significant advantage.

Looking ahead, it will be crucial to monitor how companies adapt their strategies in response to these challenges and whether they can find a sustainable balance between AI and human contributions.