Difference between Semantic Web and Data Science. Source: Lampa 2018, slide 3.

Semantic Web doesn't make machines intelligent in the sense of Artificial Intelligence or Machine Learning. Instead of asking machines to understand humans, we help machines to solve well-defined problems on well-defined data via well-defined operations.

It therefore does appear that AI / ML has gone ahead and enabled machines to see, hear and speak. The mid-2010s have seen the arrival of voice assistants, chatbots, computer vision applications, and more. This has been possible because of the availability of data to train ML algorithms. Though some ML algorithms require some data to be tagged or labelled for training, there's no need to add semantic metadata to all data in the manner of the Semantic Web.