MIT challenges students to build jet engines with AI in 4 weeks #Engineering #JetEngine #AItools

MIT challenged 31 students to build a working single spool jet engine producing 50 to 100 pounds of thrust on jet A fuel within just four weeks. The students had full access to AI tools like Claude, GPT, and Gemini via MIT’s Poly platform but faced the immense challenge of designing and manufacturing complex engine components under tight physical and time constraints. While AI accelerated learning and project management early on, its limitations surfaced when translating theory into manufacturable parts within the deadline. Ultimately, strong engineering fundamentals and hands-on manufacturing skills determined success. Only two teams completed testing, with the winning team relying least on AI and demonstrating practical engineering judgment over AI-generated calculations. MIT’s experiment highlights that in advanced engineering projects, manufacturing realities and supply chain constraints often outweigh purely intellectual or AI-based capabilities. This reflects broader implications for the integration of AI in complex hardware development and the critical role of human expertise and production logistics. #Engineering #AITools #JetEngineDesign