Senior manager in tech: AI puts full stack engineering jobs at risk, others not so much

Despite the rise of the LLM’s, most (but not all) software engineering jobs are not at risk. Full stack engineers working on non-critical systems are at risk, while any usage of AI in a complex and/or critical system is generally a bad idea and not a risk. Until modern AI solutions can reliably incorporate symbolic logic, execute logical flows and procedures reliably, and are able to explain their reasoning, any commercially valuable engineering task will be first and foremost undertaken by a human and not a machine. For now, AI solutions for these tasks will still have a copilot role in a limited context. At the same time, the increase in productivity from AI will create a new baseline requirement for most engineers: being able to use an AI copilot is the new norm.