Machine Learning has revolutionized protein folding and plenty of other sciences.

I actually work in the field of protein crystallography. Contrary to newspaper reporting by people who don't understand the field and just repeat what the people who developed the tool say about it, it has made just a small improvement to analysing experimental data which we could have easily made using traditional algorithmic approaches with a similar amount of resources spent. And this is one of its biggest legitimate impacts - it absolutely hasn't "revolutionised plenty of other sciences", or you'd be able to list more things than just alphafold.

It doesn't improve programmer productivity, it increases the lines of code created, which is a really bad metric for productivity. There is good evidence that its use is already leading to increased code churn, that means someone is having to go back and revisit the additional new errors introduced by AI tools, which is obviously less productive.