I'm more interested in that massive collapse in python over the past year. Is it due to everyone running for the doors just before the AI bubble pops? Or did AI make rewriting everything Python into Rust a reality perhaps?
Because TIOBE's methodology is terrible, and always has been.
https://www.tiobe.com/tiobe-index/programminglanguages_defin...
It's literally based on the (estimated) number of search engine hits for e.g. "Python programming" on Google and a handful of site-specific search engines (e.g. Amazon, eBay, Walmart, microsoft.com, etc), with some manually applied tweaks for languages with easily confusable names. Many of the fluctuations in rankings - like the big dip in the ranking for C between 2015 and 2018 - probably have more to do with changes in search engine algorithms than any real change in popularity.
This is usually considered a better ranking. This has Rust at #20.
Different rankings measure different things, so it depends on what and how people want to assess languages and usage.