Too many organizations understand the AI skills gap backwards, focusing too much on the output layer. Most AI projects that fail go astray because of bad data, and that’s where you need to focus.
AI tools don’t fail because they’re weak. They fail when people don’t give them enough context. Learning how to do that is quickly becoming a core job skill.
