

I still wouldn’t call a car an “investment” or anything, but 100% agreed. The whole “cars lose 50% of their value when you drive off the lot” thing might have been true before the Cash for Clunkers program, but it isn’t anymore. Or maybe it’s true if you’re trying to trade-in the vehicle.
If I wanted to buy the (fairly popular) car I’ve been driving for over 6 years with the same mileage, it’d cost me over 2/3rds what it cost new When I bought it, new cars were less expensive than used cars (i.e., like less than two years old with less than 25k miles) thanks to how much better the interest rates were on the loans. A couple years later, I was getting offers for more than I paid for it. And none of that is a unique experience.



Summary of my comment: the study showed that the AI tool in question was an effective tool for the task, nothing more.
I didn’t read this particular article, but I recently read a different one about the same study. I also clicked into the study itself and read the abstract and everything else that was freely available. The study was paywalled, but as far as I could tell:
This outcome is expected if given a tool that simplifies a process and then losing access to it. If I were writing code in Notepad and using _v2, _v3, etc for versioning, was then given an IDE and git for three months, then had to go back to my old ways with Notepad, I’d expect to be less effective than I had been. I’ve been relying on syntax highlighting, so I’m going to be paying less attention to the specific monochrome text than I used to. I’ll have fallen out of practice from using the version naming techniques that I used to use. All of the stuff that I did to make up for having worse tooling, I’m out of practice with.
But that doesn’t mean that I should use worse tools.