Artificial Intelligence (AI) has become a powerful tool in the workplace, helping people complete tasks more quickly and efficiently. It can generate reports, answer questions, and even draft emails in seconds. This speed is a major benefit, especially for routine tasks, where AI can save time and reduce costs. However, this convenience might have a hidden downside. When AI provides quick answers, it can reduce the need for people to think critically or experiment with new solutions—skills that are essential for innovation. This phenomenon is sometimes referred to as the "productivity trap." In the short term, AI boosts efficiency, allowing employees to focus on other tasks. But over time, it might lead to a decline in the ability to solve complex problems creatively. People may become more reliant on AI for answers, which can limit their willingness to explore new ideas or challenge existing assumptions. Research has shown that when solutions are easily accessible, individuals and teams tend to reuse them rather than develop new approaches. This can lead to a narrowing of thought and fewer breakthroughs. In a 2015 study of computational biologists, researchers found that when scientists could easily access each other’s work, they spent more time refining existing ideas and less time exploring new ones. A similar pattern has been observed in modern workplaces. For example, in some companies, regular meetings to share new AI tools were initially productive, but over time, fewer new ideas emerged. A small group of individuals continued to explore and innovate, while others relied on their findings without contributing their own insights. To avoid this risk, business leaders can introduce what researchers call "strategic friction"—small, intentional steps that encourage independent thinking before relying on AI. This doesn’t mean slowing down work, but rather ensuring that people engage with a problem before seeking an AI-generated answer. One approach is to ask employees to provide their own initial thoughts or analysis before using AI tools. Another is to design AI systems that prompt users with questions or require input before generating a response. These steps help ensure that people understand the problem before receiving a solution, which can improve the quality of the outcome. Not all tasks require this level of scrutiny. For simple, low-risk jobs like formatting documents or summarizing notes, AI can be used freely. However, for tasks that require creativity, judgment, or problem-solving, strategic friction can help maintain the balance between speed and original thinking. This approach also influences hiring and performance evaluations. In a world where AI is widely available, the ability to question and refine AI outputs becomes more valuable than simply accepting them at face value. As AI continues to reshape the workplace, the challenge for leaders is to ensure that speed doesn’t come at the cost of judgment and creativity. By carefully integrating friction into tools, workflows, and hiring practices, businesses can keep innovation alive while still benefiting from the efficiency AI offers.