16g ram: perhaps 13g available to the user. If you run chrome/spotify/slack/an editor you're often left with only 8g useable.

ml work commonly uses data that is 8g+ -- and regularly 32g+ -- just for the data itself. Yes you can work on remote servers but it's convenient to be able to work and develop locally.