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Ask HN: Are you afraid of AI making you unemployable within the next few years?

14 points johnwheeler | 2 comments | 20 Dec 25 21:18 UTC | HN request time: 0.951s | source

On Hacker News and Twitter, the consensus view is that no one is afraid. People concede that junior engineers and grad students might be the most affected. But, they still seem to hold on to their situations as being sustainable. My question is, is this just a part of wishful thinking and human nature, trying to combat the inevitable? The reason I ask is because I seriously don't see a future where there's a bunch of programmers anymore. I see mass unemployment for programmers. People are in denial, and all of these claims that the AI can't write code without making mistakes are no longer valid once an AI is released potentially overnight, that writes flawless code. Claude 4.5 is a good example. I just really don't see any valid arguments that the technology is not going to get to a point where it makes the job irrelevant, not irrelevant, but completely changes the economics.
1. diamondap ◴[20 Dec 25 21:56 UTC] No.46340006[source]▶
I think AI will substantially thin out the ranks of programmers over the next five years or so. I've been very impressed with Claude 4.5 and have been using it daily at work. It tends to produce very good, clean, well-documented code and tests.

It does still need an experienced human to review its work, and I do regularly find issues with its output that only a mid-level or senior developer would notice. For example, I saw it write several Python methods this week that, when called simultaneously, would lead to deadlock in an external SQL database. I happen to know these methods WILL be called simultaneously, so I was able to fix the issue.

In existing large code bases that talk to many external systems and have poorly documented, esoteric business rules, I think Claude and other AIs will need supervision from an experienced developer for at least the next few years. Part of the reason for that is that many organizations simply don't capture all requirements in a way that AI can understand. Some business rules are locked up in long email threads or water cooler conversations that AI can't access.

But, yeah, Claude is already acting like a team of junior/mid-level developers for me. Because developers are highly paid, offloading their work to a machine can be hugely profitable for employers. Perhaps, over the next few years, developers will become like sys admins, for whom the machines do most of the meaningful work and the sys admin's job is to provision, troubleshoot and babysit them.

I'm getting near the end of my career, so I'm not too concerned about losing work in the years to come. What does concern me is the loss of knowledge that will come with the move to AI-driven coding. Maybe in ten years we will still need humans to babysit AI's most complicated programming work, but how many humans will there be ten years from now with the kind of deep, extensive experience that senior devs have today? How many developers will have manually provisioned and configured a server, set up and tuned a SQL database, debugged sneaky race conditions, worked out the kinks that arise between the dozens of systems that a single application must interact with?

We already see that posts to Stack Overflow have plummeted since programmers can simply ask ChatGPT or Claude how to solve a complex SQL problem or write a tricky regular expression. The AIs used to feed on Stack Overflow for answers. What will they feed on in the future? What human will have worked out the tricky problems that AI hasn't been asked to solve?

I read a few years ago that the US Navy convinced Congress to fund the construction of an aircraft carrier that the Navy didn't even need. The Navy's argument was that it took our country about eighty years to learn how to build world-class carriers. If we went an entire generation without building a new carrier, much or all of that knowledge would be lost.

The Navy was far-sighted in that decision. Tech companies are not nearly so forward thinking. AI will save them money on development in the short run, but in the long run, what will they do when new, hard-to-solve problems arise? A huge part of software engineering lies in defining the problem to be solved. What happens when we have no one left capable of defining the problems, or of hammering out solutions that have not been tried before?

replies(1): >>46340879 #
2. johnwheeler ◴[20 Dec 25 23:56 UTC] No.46340879[source]▶
This is how I feel as well pretty much.

It's interesting you mention the loss of knowledge. I've heard that China has adopted AI in their classrooms to teach students at a much faster pace than western countries. Right now I'm using it to teach me how to write a reverb plug-in because I don't know anything about DSP and it's doing a pretty good job at that.

So maybe there has to be some form of understanding. I need to understand how reverb works, how DSP works in order to be able to make decisions on it, not necessarily implementation. And some things are hard enough to just understand and maybe that's where the differentiation comes in