Manager's Obsession With AI Threatens Workplace Culture
A manager's excessive reliance on an AI chatbot to make all workplace decisions has sparked debate about AI's proper role in business, with employees warning that blind trust in AI predictions harms team morale and decision-making quality.
The advancement of artificial intelligence technology has made work faster and more efficient, leading many organizations to adopt AI for data analysis, business planning, and decision support. However, this raises an important question: does excessive reliance on AI harm human work performance?
The issue gained widespread attention after an employee posted their experience on Reddit, describing their manager as having "AI Psychosis"—an excessive obsession with and blind trust in AI. The manager became so fixated on Anthropic's Claude AI model that they treated its answers as the final standard for all decisions and refused to listen to team members' input. The post quickly went viral online.
According to the poster, the manager would display Claude conversations during every meeting, insisting the team meet performance targets and results predicted by the AI as if those were the only correct answers, despite AI's inability to fully understand customers, market needs, or project-specific conditions.
Problems arose when work results didn't match the AI's forecasts. Instead of reconsidering AI's limitations, the manager blamed employees and repeatedly asked the AI what went wrong. Without clear answers, they concluded the problem lay with the team.
The employee acknowledged that watching their manager become increasingly dependent on AI was concerning for both the manager's mental health and the organization's atmosphere. They felt exhausted working to satisfy the AI rather than serving customers, suggesting people should sometimes step away from screens and rely more on human reasoning.
After the story spread, many social media users shared similar experiences. Several reported that executives use AI to make all decisions, from performance reviews to business strategy, diminishing experienced employees' input. Some revealed CEOs asking AI "what's wrong" with incomplete data, causing AI to generate faulty answers that prevented project approvals, froze product development for months, suspended marketing budgets, and created financial problems. Others received AI-generated reports dozens of pages long critiquing company-wide employee performance.
This sparked renewed debate about AI's workplace role. Many argue that AI should serve merely as an analytical tool supporting decisions, not replacing human experience, judgment, and understanding. Ultimately, the best decisions require both real-world data and technology working together.
