Artificial intelligence is often promoted as a tool that saves time and improves efficiency, but this article argues that the reality can sometimes be the opposite. Instead of simplifying work, AI may actually add more layers of complexity. The author explains that what begins as a simple experiment with one tool often turns into the use of multiple apps for writing, research, and organization, which can make even routine tasks feel more complicated than before.
A key issue discussed is the illusion of productivity. AI can make people feel as though they are getting more done because it produces quick drafts, summaries, and ideas. However, a significant amount of time is later spent reviewing, correcting, and reorganizing the output. In many cases, the time “saved” by AI is lost in fixing mistakes or managing too many tools, leading to what some experts describe as false productivity.
The article also highlights how AI can encourage overdependence and distraction. Rather than focusing directly on the actual task, users may spend more time experimenting with prompts, switching between platforms, and optimizing workflows. This creates a situation where effort shifts from completing the work to managing the AI process itself. As a result, simple tasks may end up taking longer than they would have without AI assistance.
Overall, the article suggests that AI is most useful when it supports clear workflows rather than replaces thinking and execution. The main message is that productivity does not come from using more tools, but from using the right tool in the right way. Without discipline and human judgment, AI can easily become another source of distraction instead of a real productivity booster.
