What happens when companies become too AI-pilled?

What happens when companies become too AI-pilled?

The Rise of “AI Psychosis”: When Companies Blindly Trust AI to Replace Human Roles

The tech industry is witnessing a troubling trend: companies are increasingly making drastic decisions based on an overhyped belief in artificial intelligence’s capabilities. Box founder Aaron Levie recently coined the term “AI psychosis” to describe this phenomenon, where executives who are least familiar with the intricacies of specific roles assume that AI can seamlessly take over. This disconnect between decision-makers and ground-level realities is leading to massive layoffs and strategic missteps.

The ClickUp Case Study: Layoffs in the Name of AI Agents

A stark example emerged when project management platform ClickUp announced it was cutting 22% of its workforce, explicitly to make room for AI agents. The company’s reasoning suggests that AI can handle tasks previously performed by humans, but critics argue this overlooks the nuanced, context-dependent nature of many roles. While AI excels at repetitive tasks, it often falls short in areas requiring empathy, creativity, or complex problem-solving.

The Acceleration of Tech Layoffs in 2026

Levie’s comments come at a time when tech layoffs are accelerating at an alarming rate. According to recent data, layoffs in 2026 are already approaching the total number seen in all of 2025. This surge is partly driven by companies pivoting to AI-first strategies, hoping to cut costs and boost efficiency. However, the rush to automate may be premature, as many AI implementations still require significant human oversight.

The Deeper Problem: Understanding vs. Hype

At the heart of “AI psychosis” is a fundamental misunderstanding of what jobs truly involve. Executives, often far removed from day-to-day operations, may see only the surface-level tasks that AI can mimic. They fail to appreciate the tacit knowledge, interpersonal skills, and adaptability that human workers bring. Levie’s observation highlights a dangerous pattern: those making the decisions are the ones least qualified to evaluate the impact.

What This Means for the Future of Work

If this trend continues, we may see a backlash as companies realize the limitations of AI in complex work environments. The key takeaway is that AI should augment human capabilities, not replace them entirely. Organizations that blindly replace workers risk losing institutional knowledge, reducing innovation, and alienating customers who value human touch. As the hype cycle evolves, a more balanced approach—where AI handles routine tasks while humans focus on higher-value work—is likely to emerge. Until then, the tech industry will grapple with the consequences of “AI psychosis” and the layoffs it fuels.