Imagine having an extra team member who can generate code, brainstorm ideas, and even help bridge skill gaps. That's the promise of AI tools like ChatGPT and GitHub Copilot in software engineering education. A recent study at Newcastle University explored the real-world impact of these tools on student team projects, revealing surprising insights into how AI is reshaping teamwork, learning, and the future of software development. The study found that students who used AI tools reported increased team confidence and productivity. AI acted as a bridge, allowing team members with varying skill levels to contribute more effectively. It also freed up time for students to focus on the bigger picture, design, and testing. But it wasn't all smooth sailing. Some students experienced challenges integrating AI-generated code, particularly when team members didn't fully understand it. There were also concerns about AI potentially masking true skill levels, creating an accountability gap. From a learning perspective, students described AI as a valuable scaffolding tool, providing worked examples, alternative approaches, and even acting as a mentor. This boosted their self-efficacy and encouraged them to tackle more ambitious projects. However, there was also a recognition that over-reliance on AI could hinder learning fundamental programming concepts. The research suggests that the key to success lies in finding the right balance. Students need a solid foundation in programming before utilizing AI tools effectively. When used responsibly, AI can empower teams, enhance learning, and prepare students for the evolving landscape of software development. The study’s authors propose a 'design space' for future AI learning tools, emphasizing the importance of adaptable support levels, distinct roles for AI (educator, peer, assistant), and transparency in how AI is used. This research offers a glimpse into a future where AI and humans collaborate seamlessly in software engineering, but it also underscores the importance of thoughtful design and responsible implementation to unlock AI’s full potential in education.