Considering we use neural networks to encode audio (in Opus), transcribe our speech, secure our homes and much more, this most recent AI wave has been quite productive.
It does not really translate to the final objective though.
The early programming language parsing research is the direct product of researchers working on natural language processing, and in fact the BNF form was developed for natural languages but later adapted and improved for programming languages.
The idea of Logic programming with prolog and friends comes directly from AI research.
Most of the search algorithms we use unknowingly in various machines have origins in the first AI wave.
The human computer interaction research directly dealt with development of fundamental ideas on speech synthesis, graphical user interfaces and computer graphics.
All in all, The field of applied AI and Computers developed together and a lot of early ideas spearheaded by AI transferred into fundamental general computing, ideas so trivial we do not even think about them now. But they were not so trivial when they were developed, specifically for AI
That of course went nowhere. The current AI revolution has produced a lot of tangible results but is - as far as I understand it - not much closer to AGI than the first one was. And some are - again - overpromising and under-delivering which risks a second AI winter, though for less good reasons.
All in all it would be nice if people would stop to make these claims, it isn't helping at all.