To expand on this, it wasn't a consensus until comparatively recently that artificial intelligence required learning techniques.

Now it seems obvious but for long time there was the idea that logic programming and knowledge engineering with large ontologies was the route to intelligence.

I doubt anyone in the AI field now makes any distinction between AI and ML. This of course implies the use of data. There's no attempt to hide this by anyone I'm aware of - it's just how it works.