AI is reshaping work dynamics but not in the ways many expected. A study from Berkeley Haas School of Business, involving 200 employees at a U.S. tech company, reveals that while AI can boost productivity, it often leads to increased mental strain. Workers find themselves juggling multiple tasks simultaneously, such as coding while AI generates alternatives or launching several projects because they believe AI can manage some of the workload. This sense of partnership with AI creates an illusion of efficiency but results in constant task-switching and cognitive overload. Personal experiences echo these findings. Many professionals report feeling drained after just a couple of hours of work, despite accomplishing a lot. The pressure to continuously build more, driven by the ease of using AI, has even affected sleep patterns for some. The Harvard Business Review article emphasizes the need for organizations to develop an "AI practice" that structures AI usage to prevent burnout and differentiate genuine productivity from unsustainable work intensity. The shift caused by AI challenges long-standing beliefs about sustainable work practices. Finding a new balance will require discipline and time as companies adapt to these changes in workflow and expectations.