The most likely outcome is an AI bubble correction that will be somewhat painful and wipe out many/most AI startups, followed by AI settling into day to day in a way that’s useful and found in many places, but not world-as-we-know-it-ending like the AI bros predict.
[1] https://www.electronicdesign.com/technologies/embedded/digit...
P.S. I'm not saying fuzzy logic doesn't have applications, I know rice cookers are a thing, but I think it's safe to say we have other options for controlling non-linear systems these days.
at least according to industry analysts, the thesis at the moment is that reasoning models (which loop over their own output and backtrack if necessary) will bring fidelity close to 100% and find novel solutions not present in the training dataset. but they consume more tokens, they require more computing and the infra for it is still being built. so the outlook for those impacts is ~2030
> fidelity close to 100%
That’s more “build part of it, say you built all of it, and wonder why they don’t come”.
So, basically the easiest robotaxi market on the planet? Call me when it works in Bucharest, Mumbai, Istanbul, Cairo, etc.
For software the last 80% of effort needed to finish the 20% remaining items is the hardest and hardware is even harder.
I am sure you can find truly out-of-distribution cases where the car will make a mistake, but the data shows that this is more rare than a human driver making a mistake.
https://www.thecity.nyc/2026/04/06/waymo-driverless-cars-tes...
Phoenix is probably about as good a location as you could get for a self driving car. It’s not yet clear how wide their success will be outside of that niche.
Even if it doesn't result in increased productivity, AI can still take the fun out of the job (goodbye coding, hello code reviews all day).