You couldn't do face or voice recognition 30 years ago with if statements.
As someone who was into programming and electronics in the eighties, I also feel a need to object whenever people say things like “we thought it was AI until we could make a computer do it, and now it’s just math” (paraphrasing).
We (those of us interested in the subject back then) had a pretty good idea about what would be possible in the future (because of faster machines and more storage) and what would not be possible in the future (unless a breakthrough was made in understanding intelligence).
Now, I do think we underestimated how fast things have developed, and especially the resources people have access today via the internet, but none of what I have seen today would have been classified as AI by myself back in the eighties.
[1] https://en.wikipedia.org/wiki/Facial_recognition_system#Hist...
>[mass noun] The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
So obviously by that speech and Zucks type of face recognition are AI. I note the '68 system was hybrid and required humans to measure the faces and enter data for where the features are so it was more analysing numbers.
There was actually speech recognition software in the 80s but it used a neural network approach rather than if statements and didn't work terribly well https://www.wired.com/2013/11/tech-time-warp-of-the-week-ibm...
Human level thinking type AI is obviously still to come.
Source: around 2006 I made a Star Trek-like music control system with Microsoft Speech API and an electret microphone hand-soldered to a long cable and an audio jack. With ~30 minutes of training on my voice it worked as reliably in noisy environment as Google works for me now.