5 Things AI Can't Do, Even in JavaScript

AI has been transforming code generation and software development processes in recent years, but there are still limits it hasn't crossed. Many developers now have AI tools write repetitive boilerplate code, yet complex problems, ambiguous tasks, and human-centered design decisions remain obstacles. This becomes especially apparent in the JavaScript world, considering features like dynamic runtime, asynchronous event loops, interactive browser environments, and security constraints. An AI code assistant attempting to remove jQuery and replace it with vanilla JavaScript, for instance, might fail to understand fundamental DOM timing differences. In other words, it can make the technical transformation while missing the meaning. What follows examines five concrete areas where AI falls short, even in JavaScript. Each section explains why AI remains limited in that domain, provides reasoning based on both general characteristics and JavaScript-specific factors, and offers real-world example