The article explores the idea of AI becoming more capable than humans in problem-solving and decision-making. It uses the analogy of AI being like an intern—helpful but often requiring guidance. While many see AI tools as mere assistants for tasks like managing emails or scheduling, the author argues that we may be underestimating their potential. As AI systems become more sophisticated, they begin to offer valuable insights and suggestions, sometimes outshining their human counterparts. The text raises important questions about the implications of relying on AI. For instance, professionals like product managers or doctors might find themselves competing against AI systems that can generate better ideas or diagnoses. The author highlights a shift in how we think about intelligence and reasoning, suggesting that people may increasingly lean on AI for decision-making, which could reshape various industries. This reliance doesn’t necessarily mean humans become obsolete, but it indicates a significant change in our roles and capabilities. Another point of discussion is the quirks and failures of AI. The author mentions the "tungsten cube problem," where AI can make bizarre decisions that seem nonsensical. This highlights a discrepancy in how we perceive AI mistakes compared to human errors. The article ties these observations to a broader theme: our historical tendency to create technology to handle tasks we find tedious or challenging, reflecting a deeper relationship between humans and their creations. This ongoing evolution raises questions about the future of work and the nature of human contribution in a world dominated by advanced AI.