According to Andrew Ng, there is significant unmet demand for AI-savvy developers, with large businesses willing to hire hundreds of engineers who can build with prompting, RAG, evals, agentic workflows, and machine learning. Source: Andrew Ng on X Sep 4 2025; deeplearning.ai The Batch Issue 317. He reports that most universities have not adapted curricula to AI-augmented programming, contributing to higher unemployment among recent computer science graduates even as underemployment remains lower than most majors. Source: Andrew Ng on X Sep 4 2025. For hiring, he prioritizes engineers who can use AI assistance to rapidly engineer systems, leverage prompting RAG evals agentic workflows and machine learning, and prototype and iterate quickly. Source: Andrew Ng on X Sep 4 2025; deeplearning.ai The Batch Issue 317. Ng states that these skills deliver massively higher productivity compared with 2022 style coding and that salaries are rising for in-demand AI engineers. Source: Andrew Ng on X Sep 4 2025. He expects the AI talent shortage to intensify as business adoption expands, which signals continued enterprise AI buildout, though there is no direct mention of cryptocurrency or token price effects. Source: Andrew Ng on X Sep 4 2025; deeplearning.ai The Batch Issue 317.