Not nearly true. The simple counter-argument is that prior to DL, we don't have good approach to really 'clean' data like images.
The author states this fact as if cleaning data is a piece of cake. No, it is surely not. In fact, part of the DL's magic trick is the ability to automatically learn to generalize useful features from data. From another perspective, the whole DL frontend, prior the very last layer, can be viewed as a data cleaning pipeline, which is learnt during the training process, optimized to pick the useful signals.
The author clearly isn't an expert on the matters he trying to put claims on. Yet his statement comes with such big confidence or ignorance. This shows why this revolution will be a truly impactful one, for even some of the claimed intellectuals cannot understand its importance and divergence of its predecessors. They will be caught off-guard then left behind. It would be very enjoyable to watch what their reaction would be once it happens.