I put ambiguity in quotes, because the only people who claim it makes things ambiguous are theoreticians - who you appear to have decided I think of as being "ivory tower" which we'll address in a bit - who favor a theoretical definition of what a grammar should be, and disregard (1) how people understand language, programming or otherwise, (2) insist on a mathematical definition of grammars, and grammar classes, that doesn't reflect reality. Insisting on that mathematical definition of what a grammar is, is the thing that creates the ambiguity that is so despised here, and (3) want to prioritize the ease of parsing for a dumb parser over the reality in which a parser has actual contextual information.
It's also well understood that for (2) this theoretical ambiguity is not actually a real problem for humans - the things for which reading is actually important - because otherwise they would not allow infix operators, which are ambiguous according to their definition, but much like languages that they have chosen to define as ambiguous, infix is not.
In that theoretical model of grammars we define the power of different classes of parsers to go something like LL The problem is that this model of grammars is arbitrarily restricted, and many (I would guess most real world) parsers for "real" languages are not any of these classes, which is certainly odd given the completeness indicated by theory. That's because this restricted definition of what a parser is says that most real world programming languages require an LALR parser, and in reality the big ones likely need LR or GLR.
In the real world, what is used could probably be classed as LL(infinity), which is impossible according to the theoretical parser classes in use. The reason that we use these impossible LL(infinity) parsers, is because they are human writable, and human understandable, and also vastly faster than the state machines LALR parsers (think bison and yacc IIRC), even more so for LR, and slower again for GLR (even if you can get away with a tomita parser, if you could find a generator for one). Additionally all the non LL parsers can only be reasonably implemented via state machine, and beyond trivial examples, a human is not going to be able to write the state transition tables, let alone modify it in future.
That means using a tool to generate the parser for you, and this really is the heart of the theoretical definition being used, to be a "real" parser, you need to be able to make a tool that will read a BNF grammar, and have it produce a program that will be able to take some text, and then, accumulating no state beyond a stack and its current state, produce an AST.
I have never been shown any justification for why this makes a grammar more understandable, it is simply stated as fact that being easier for a machine to parse means being easier for a human. The contra to that is that most people seem find infix much easier to understand than the non ambiguous pre- and post-fix notations. You could argue that's familiarity, but I would say "so what?" that people can find the "ambiguous" grammar easier to understand than the non ambiguous one indicates that the claim of "easier for machine == easier for people" to not stand up.
Anyway that giant wall of text is my position, and that is why I don't accept " for generics is ambiguous" as the sole justification for a change from the root language this is meant to be a replacement for. If they were creating their own language then sure, they could go ham and make the least ambiguous language that they liked (but lisp I think has technically already done that), but that is not what Carbon is doing.
Finally (and so the Great Wall of text continues) on your "ivory tower academic" accusation, I disagree. Academic CS is hugely valuable, and having been in CS academia for many years I feel I am allowed to express my disagreement with some of it.
If credential waving is needed, for academics: my masters is in programming language theory, and I was the TA for among other things my university's courses on programming language theory, parsing, etc. In industry I've worked on clang for many years, and for parsing specifically I wrote the javascript parser in javascriptcore.
I understand parsing, and I understand the PLT subfield of CS.
My frustration with academic PLT is more that by confining the definitions of what is a valid grammar, or what is a real parser, we don't see any real research into into those aspects of PLT and in my experience it seems like an area where we just treat the dragon book as being the definition of everything that matters. Then we turn around say anything that doesn't fit neatly in that definition must be bad, and can be ignored.