Around half of people are worried they'll lose their job to AI. And they're right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more safely than humans, and do accurate medical diagnosis. And it's set to continue to improve rapidly. But what's less appreciated is that, while AI drives down the value of skills it can do, it drives up the value of skills it can't— because they become the bottlenecks to further automation (for a while at least).
This is close to my experience for a lot of tasks, but unless I’m working in a tech stack I’m unfamiliar with, I find doing it myself leads to not just better results, but faster, too. Problem is it makes you have to work harder to learn new areas, and management thinks it’s faster for everything and
I think it’s still faster for a lot of things. If you have several different ideas for how to approach a problem the robot can POC them very quickly to help you decide which to use. And while doing that it’ll probably mention something that’ll give you ideas for another couple approaches. So you can come up with an optimal solution in about the same time as it’d take to clack out a single POC by hand.
Yeah, I was thinking about production code when I wrote that. Usually I can get something working faster that way, and for tests it can speed things up, too. But the code is so terrible in general
Edit: production isn’t exactly what I was thinking. Just like. Up to some standards above just working