Most CS professionals who write code have no idea what it takes to build a desktop, so the hardware that they chose is pretty much irrelevant because they aren't specifically choosing for hardware. The reason Apple gets bought is mostly by anyone, including tech people, is because of ecosystem. The truth is, nobody really care that much about actual specs as long as its good enough to do basic stuff, and when you are indifferent to the actual difference but all your friends are in the ecosystem, the choice is obvious.
You can easily see this yourself: ask these "professionals" about the details of the Apple Neural engine, and its a very high chance that they will repeat some marketing material, while failing to mention that Apple does not publish any real docs for ANE, you have to sign your code to run on ANE, and you have to basically use Core ML to utilize the ANE. I.e if they really cared about inference, all of them would be buying laptops with discrete 4090s for almost the same price.
Meanwhile, if you look at people who came from EE/ECE (who btw on the average are far better coders than people with CS background, based on my 500+ interviews in the industry across several sectors), you see a way larger skew towards Android/custom built desktops/windows laptops running Linux. If you lived and breathed Linux and low level OS, you tend appreciate all the power and customization that it gives you because you don't have to go learn how to do things.