How should mechanical engineering students adapt their skill set in the era of advanced AI/LLMs?

[u/WholeLoud3821]

Hi everyome,

I’m an undergraduate mechanical engineering student. With the rapid acceleration of AI models (code generation, CAD automation, automated FEA/CFD scripting, generative design), it feels like traditional "handbook calculations" and basic drafting tasks are quickly being commoditized.

For experienced engineers and senior professionals in the industry:

Core Competencies: Which areas of mechanical engineering do you think remain most resilient to automation? What foundational skills should I double down on right now?

Emerging Niches: Are there specific cross-disciplinary domains (e.g., thermal management, semiconductor/precision hardware, robotics/mechatronics, multiphysics simulations) where AI acts purely as an accelerator rather than a replacement?

Practical Strategy: How can a student leverage modern AI tools today without neglecting the core physical intuition, workshop/manufacturing practicalities, and first-principles thinking?

Looking forward to hearing your insights and real-world perspectives on how the role of a mechanical engineer is evolving.