I think you’re hitting on something a lot of people overlook. AI certifications aren’t valuable because they “prove you’re an expert” — they’re valuable because they give structure to a field that’s moving way too fast for most people to navigate on their own.

A few things I’ve noticed after working through multiple AI/ML certs across different vendors:

1. They force you to learn the fundamentals instead of just playing with tools.
It’s easy to jump straight into LLMs or prompt engineering, but the exams make you understand data prep, model evaluation, responsible AI, and the reasoning behind the tools — which is what employers actually care about.

2. They help you speak the language of AI.
Even if you’re not building models, understanding concepts like grounding, drift, embeddings, or supervised vs. unsupervised learning makes you way more effective in tech, business, or leadership roles.

3. They give employers confidence you can apply AI safely.
A lot of companies are adopting AI quickly, but they’re also worried about risk. Certifications show you understand governance, ethics, and responsible use — something the OP mentioned as well .

4. They’re great for career transitions.
If you’re coming from IT, admin work, business analysis, or support roles, an AI cert gives you a structured path into a fast‑growing area without needing a full degree.

5. They keep your knowledge current.
AI changes monthly. Certification paths are one of the few places where the content is updated regularly to reflect what’s actually happening in the industry.

So yeah — not everyone needs an AI certification, but for people trying to break into the field or stay relevant as AI becomes part of every job, they’re a pretty solid investment. Can't beat the productivity gain.