The ongoing transformation in software engineering is largely driven by advancements in artificial intelligence, with many developers acknowledging its potential in enhancing productivity and redefining roles within the industry. A significant portion of developers—over half in North America—believe that AI tools, particularly Large Language Models (LLMs), are capable of coding better than humans. The impact of AI on developer productivity has been noted by major players like Microsoft, asserting that a majority of developers rely on these tools for their routines. However, while AI helps with routine tasks, it still struggles with complex problems, leading to discussions on whether AI can replace roles such as DevOps engineers. Interestingly, older developers are adopting AI tools more readily than their younger counterparts, indicating a shift in how different age groups integrate AI into their workflows. As the landscape evolves, the conversation is not just about AI replacing developers, but rather about how it can be an evolutionary step, allowing developers to focus on more innovative and complex tasks.