No, expertise is more important when working with AI, because it can make mistakes. Expertise is the ability to predict, understand, and mitigate such mistakes.

In science for example, anyone can do an experiment about gravity. In fact millions of high school kids do every year. What makes an expert scientist is the ability to understand all the many ways such experiments can fail to accurately measure the underlying reality.

Or consider an AI writing a press release. A PR expert will catch nuances of wording that will confuse readers, or leave fodder for others to attack or mischaracterize the announcement.

College students know this because they are working with AI. And what makes them mad is the human-driven false notion that AI devalues expertise. AI looks like magic to non-experts. But it’s not, it’s more like a “junior engineer” or “PR intern” to people with actual expertise to evaluate its output.

Expertise is more important if you care about a good end result. People pushing for AI often don't care about the end result at all. They care about quantity over quality.

This can be really frustrating for someone who spent time getting experienced. They get hit twice. First they don't get a chance to do a job because "AI replaced you, sorry". Then they look at the result and what they see is low quality slop.

You and I know this. The people making hiring decisions do not. Managers and CEOs are too enamored by the thought of reduced labor costs to see reason.

Facts don't matter, only what the person making the hiring decision believes to be true, or has been fed.

College grads are angry because their job prospects are bad due to AI hysteria. It has nothing to do with how good AI is, the hysteria is what is causing problems.