少点错误 10月03日 12:22
AI 编程助手:程序员生产力提升与薪资增长的脱节
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自20世纪70年代以来,许多行业的生产力增长已超过工资增长,但科技行业,尤其是程序员,曾一度保持同步。然而,AI编程助手的出现正在改变这一现状。文章回顾了生产力与工资增长脱节的经济背景,指出AI正在自动化编程任务,降低技能门槛,并可能增加编程服务的供给。尽管AI使程序员生产力大幅提升,但并未带来相应的薪资增长,这可能导致程序员的工资停滞不前,尽管他们变得更加高效。部分程序员可通过股权补偿来分享部分生产力提升带来的价值。

🧑‍💻 **AI 编程助手提升程序员生产力**:AI工具如Claude Code显著提高了程序员的工作效率,使他们能更快地完成编码任务,减少了查阅文档和论坛的时间。作者估计其个人生产力提升了2-3倍,能够更快地将代码交付生产。

💰 **生产力提升未同步带来薪资增长**:尽管AI带来了显著的生产力提升,但程序员的薪资并未相应增加。作者指出,其薪资水平与使用AI之前大致相同,并且公开的招聘信息也未显示普遍的加薪迹象。

📈 **AI增加了编程服务的供给,压低了工资水平**:文章认为,AI编程助手降低了编写代码的门槛,使得更多人能够参与编程,这相当于增加了编程服务的供给。在竞争性的劳动力市场中,供给的增加会对工资水平造成下行压力,导致市场出清价格降低。

📉 **市场信号显示底层招聘难度加大**:AI对编程行业的影响已显现出迹象,如应届毕业生和编程训练营毕业生在求职上面临更大困难,即使是经验丰富的程序员,招聘竞争也日益激烈,公司选择性更强。

💡 **股权补偿成为部分程序员的价值分享途径**:在薪资增长停滞的背景下,文章提出,对于拥有公司股权的程序员而言,他们仍有机会通过股权增值来分享AI带来的生产力提升所产生的价值,这可能成为未来几年保持经济稳定的一种方式。

Published on October 3, 2025 4:10 AM GMT

Since the 1970s, productivity has outpaced wage growth in many sectors. One sector where wages have kept up with productivity growth is tech, especially among programmers. But, I suspect this is changing thanks to the use of AI coding assistants.

To quickly review the relevant economic history, before 1973 wage growth roughly tracked productivity in Western economies, but since then productivity has grown 6 times faster than wages in most industries. Economists have given many possible explanations for this change: globalization, automation, declining union power, and policy shifts. There's not a clear consensus about the causes, but it's clear what the effect is: less value is being captured by labor and more by capital.

Programmers, however, have been largely exempt from this trend. Instead, they've seen a rapid rise in wages, especially over the past 20 years, and an even more rapid rise in non-wage compensation (stock, perks, etc.). Why? Because the production of high quality software is hard to automate, hard to outsource, critical to businesses, and protected by skill barriers.

AI is changing all this. It's beginning to automate many programming tasks. It allows outsourcing some programming work to AI. And as we've seen with the rise of vibecoding, AI is reducing skill barriers to producing functional code.

I've seen these changes in my own work as a programmer. I use Claude Code nearly every day. Although it doesn't let me do anything I couldn't do before, it lets me do everything I need to do faster and easier. Gone are the days of spending long hours reading docs and StackOverflow, trying to puzzle out how to make something work. Now I just ask Claude and, most of the time, it figures it out in just a few minutes.

But these gains in productivity may have come at some personal cost. I'm probably 2-3x more productive than I used to be in terms of time to ship code to production. I'm not, however, suddenly being paid 2-3x times more for doing this. In fact I'm being paid just about the same as I was before I started using Cluade Code even though I'm doing a lot more. And looking at public job listings, I don't see signs that anyone else is getting pay raises either.

But if I and other programmers are becoming more productive by using AI, why aren't we seeing an increase in salaries? It could simply be lag. AI is new, and the market hasn't had time to respond. But I'm suspicious that something else is going on.

Across many industries, labor saving devices have failed to increase wages proportional to the value generated. Some of this makes sense: it takes capital to operate these devices, and capital is going to need to recoup those costs. But naively you might think that, if labor is now more productive, it should be worth paying more for.

What I think this analysis misses is that wages are set in a competitive environment. I'm not actually paid, directly, based on how productive I am. I'm instead paid a wage that clears the programmer hiring market at my level of skill. And since the main effect of AI coding agents is to allow more people to write more code, we've effectively increased the supply of programming, putting downward pressure on the hiring market's clearing price.

We already see signs that the bottom of the market has been priced out. New grads from computer science programs report great difficulty finding jobs, whereas just a few years ago they were receiving multiple offers. Coding bootcamp grads face similar headwinds. And even among experienced programmers, although there are many open roles, hiring processes are increasingly competitive and companies are increasingly choosy about who they hire.

What does this mean for programmer's career prospects? I'm not certain. I might be jumping the gun in my analysis, and in 12-18 months we may see wages catch up with productivity gains. But if that doesn't happen, then I strongly suspect that programmers will see their wages stagnate even as they become more productive. The silver lining is that, at least for now, many programmers receive equity compensation, which allows them to capture some of the value of their productivity gains that are going to capital. Hopefully that will be enough for me and my fellow programmers to stay solvent in the years ahead.

Cross-posted to Less Wrong, where you may find additional discussion in the comments.

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AI编程 程序员 生产力 薪资 经济学 AI coding programmers productivity wages economics
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