Uzzi's experiment with his students highlighted a key limitation of AI in creative tasks. Despite expectations that a chatbot would outperform humans in generating diverse word lists, the class average matched the bot's performance closely. Students produced more original ideas than the AI, which relied on a narrow selection of about 850 words from a possible 50,000. This illustrates how AI often delivers average responses, missing out on unique human insights. Uzzi emphasizes that when people lean on AI for quick answers, they risk dulling their own creativity. The students' preference for the bot’s rapid responses reveals a common pitfall: the allure of efficiency can stifle original thinking. Although students took longer to generate their own lists, they tended to rely on the AI's output when it was available, often making minimal edits. Uzzi argues that true creativity requires a slower, more thoughtful process. Instead of asking an AI for answers, he advises asking for guidance on how to approach a problem. This shift in questioning can lead to richer ideas. Uzzi proposes a framework for effectively collaborating with AI, distinguishing between automation, answers, and alliances. Automation handles repetitive tasks, while answers provide specific information. The most impactful use of AI involves forming alliances that leverage human creativity, such as developing new solutions. His findings also show that teamwork enhances creativity, with groups outperforming individuals and AI when solving problems collaboratively. Ultimately, human creativity thrives on collaboration and the exchange of ideas, something AI can support but not replace.