The end goal is proprietary lock-in, AKA The Microsoft Strategy.
The reality of auto-ML is that you don't need garbage data to learn garbage. All you need is a "developer" who has no idea how dirty or unstable their data is, how accurate/precise the results should be, or where bias and edge cases manifest before GIGO becomes your project's mantra.
The claims of auto-ML and auto-programming are two sides of the same coin. They're both silicon snake oil.
I was just watching the AWS keynote and it seems they are doing the opposite, offering more and more ready-made services so that startups don't need to write software at all.
What's the end goal of this? In the future amazon will use ML to auto-generate startups and offer them for sale. Then startup entrepreneurs will not need to hire programmers anymore, they will just buy a premade startup from AWS and become traveling salesmen. Basically gig worker CEOs for Bezos.