According to AndrewYNg on X, AI-driven job displacement fears remain overstated so far, while demand for applied AI skills is reshaping hiring across functions. As reported by Andrew Ng’s post, employers increasingly value hands-on experience with production ML, data pipelines, and prompt engineering over generic AI credentials. According to AndrewYNg, roles blending domain expertise with AI—such as marketing analytics with LLM tooling, customer ops with copilots, and software teams with MLOps—are expanding. As noted by AndrewYNg, entry paths now favor portfolio evidence (GitHub repos, Kaggle projects, and shipped copilots) and short-cycle training over lengthy degrees. According to AndrewYNg, companies prioritize measurable ROI use cases—recommendation optimization, customer support automation, and code acceleration—driving demand for practitioners who can integrate LLMs, retrieval, and evaluation into existing workflows.