Conceptual shifts matter more than learning to code.
McKinsey found that demand for AI fluency in job postings grew sevenfold in two years, concentrated in management and business roles, not just technical ones. This is not a story about coders. It is about every professional who touches a workflow. Retraining does not mean learning to code. The most important shift I see at Cornell is not technical. It is conceptual. Learning to ask: which step of this workflow does AI change? What does failure look like in a probabilistic system? How do I evaluate a system that does not behave the same way twice?
— Meta Laid Off 8,000 And Launched AI - Why Jobs Need Different Skills · Forbes