ChatGPT seems like it saves you time until you realized it doesn’t

Reevaluating Time Savings with Artificial Intelligence: A Critical Perspective

In recent years, AI tools like ChatGPT have gained widespread popularity, promising to streamline tasks and boost productivity. Many users, myself included, have embraced these technologies, often perceiving them as efficient helpers capable of handling a variety of assignments—from coding and data management to drafting emails and more. However, a closer look reveals that the perceived time savings may be more illusory than real, especially when considering the adjustments and oversight usually required to produce satisfactory results.

The Illusion of Efficiency

Initially, using ChatGPT and similar AI systems can feel like a breakthrough. For example, I utilized ChatGPT to develop a specialized tool for my company’s industrial machine training processes. The initial results seemed promising, and I thought, “This is a cost-effective solution—much cheaper than hiring a developer.” The tool eventually functioned as intended, yet it took a significant amount of time to refine, troubleshoot, and tweak the outputs. In retrospect, I realized that these hours could have been spent more efficiently by simply hiring a developer—a process that would have likely cost less overall, considering the numerous hours spent on adjustments.

The Downside of Over-Reliance

Another example involves creating a time-lapse video using dedicated software. While working through the process, I relied on ChatGPT for tips, shortcuts, and explanations. Although its suggestions were often helpful, I also encountered inaccuracies that, in hindsight, wouldn’t have existed had I thoroughly read the software manual. What felt like a shortcut actually slowed me down, making me second-guess and double-check the information provided. Such experiences highlight a recurring theme: AI tools can create an illusion of productivity but sometimes end up extending the time required to complete tasks.

The Cognitive Cost of AI Assistance

Beyond pure efficiency, there is a broader concern regarding how AI influences cognitive skills. When users lean on AI to perform tasks—whether generating content, coding, or problem-solving—it can lead to a decline in critical thinking and learning capacity. Instead of engaging with the problem directly, many tend to rely on AI outputs, which can diminish skill development over time.

Evidence Supporting These Observations

Supporting these insights, recent research (such as the Harvard Business Review article from September 2025) suggests that excessive dependence on AI can actively undermine productivity. The study indicates