Hey everyone, I’ve been thinking about how AI is changing the value of different skill sets, especially between math-heavy backgrounds and traditional engineering training. With tools like AI code generation, automation frameworks, and ML becoming more accessible, do you think someone with a strong mathematics background (e.g. applied math, stats) who knows how to leverage AI to automate engineering tasks could be more valuable than someone formally trained as an engineer? Or do engineers still have a strong edge because of their domain knowledge, system design experience, and real-world constraints understanding? Would love to hear perspectives from people working in: Software engineering Data science / ML Cybersecurity / infrastructure Also curious: Does this depend heavily on industry? Is this just a temporary shift due to hype around AI? Thanks in advance! submitted by /u/Excellent_Copy4646
Originally posted by u/Excellent_Copy4646 on r/ArtificialInteligence