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Tech 2 min read

"AI Psychosis": A Warning Against the Wave of Blindly Firing Employees Over AI

Box founder Aaron Levie warns of "AI psychosis," a syndrome where business leaders rush to lay off staff due to overinflated expectations of AI, without truly understanding the reality of their employees' day-to-day work.

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Sources techcrunch.com

The wave of layoffs prioritizing AI systems is spreading across Silicon Valley, but with it come stark warnings of a new phenomenon known as "AI psychosis."

Developments

Aaron Levie, founder and CEO of Box, recently spoke out against the "AI-pilled" approach of many business executives. According to Levie, the individuals deciding that AI can completely replace a specific job are often those who least understand what that employee actually does on a day-to-day basis. He dubbed this phenomenon "AI psychosis"—a disconnect between unrealistic expectations of technology and the complex reality of human operations.

A prime example of this trend is ClickUp, a productivity management company that recently cut 22% of its workforce. The reasoning given was to shift resources toward developing and deploying AI agents to automate processes. However, experts worry that these hasty cuts could leave critical gaps in institutional knowledge and problem-solving capabilities that current AI is not yet capable of handling.

Why It Matters

In markets like Vietnam, where many businesses face significant pressure to optimize costs and keep up with tech trends, Aaron Levie's warning is particularly relevant. Replacing staff with AI is not as simple as installing new software; it requires a deep understanding of the subtle nuances of work that AI often overlooks.

The takeaway is that businesses must avoid falling into "AI psychosis," viewing technology as a silver bullet for all staffing problems. Instead of mass layoffs, a more sustainable approach lies in combining the computational power of AI with human critical thinking and empathy. Overestimating the short-term capabilities of AI agents could lead to the collapse of operational processes that rely heavily on employee cohesion and accumulated experience.